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CONVERSATIONS 2017: International workshop on chatbot research and design

posted by Symeon Papadopoulos

CONVERSATIONS 2017

International workshop on chatbot research and design

November 22, 2017, Thessaloniki, Greece

https://conversations2017.wordpress.com/

Call for Papers

Researchers and practitioners working on chatbot research and design are invited to submit papers to CONVERSATIONS 2017, a one-day cross-disciplinary workshop in Thessaloniki, Greece November 22. The workshop is arranged as part of INSCI 2017.

Motivation and Key Challenges

Conversational interfaces or natural language interaction is the next frontier in the development of ubiquitous data and services. This is in particular seen in the field of chatbots, that is, machine agents serving as natural language user interfaces to data and service providers. While chatbots or conversational agents have been a topic of research for decades, recent advances in artificial intelligence and machine learning has sparked renewed interest in chatbots. Chatbots powered by artificial intelligence are by some predicted to fundamentally disrupt the way humans interact with digital services.

In this context, research on the design and application of chatbots and underlying technology is critical. Current user interactions with chatbots are still quite basic, due to several limitations. Users expect a natural conversation but these are often limited to simple task delivery and execution. Challenges pertain with regard to how artificial intelligence and machine learning is leveraged in the context of chatbots, and how to benefit from chatbots and natural language interaction in the context of Internet of Things. Furthermore, natural language interfaces imply challenges related to privacy and trust, as well as safety and security.

Chatbots and natural language user interface represents a wide range of research challenges in the fields of information systems design, software engineering, and human-computer interaction.

The analysis challenge: The Internet now offers a space of unprecedented size, where discussions among humans and agents take place and are publicly observable. Monitoring, analyzing and extracting insights from such discussions is a challenge in itself, given the variety of sources where they take place, the heterogeneity of content and format in which they are available, and the difficulty in telling human agents from chatbots. However, there is potentially large value in mining these discussions both for identifying issues and bottlenecks in existing chatbot dialogues and in extracting patterns of natural interaction among human agents.

The user knowledge challenge: Chatbots, are to communicate with a varied group of people across gender, age, languages and preferences. However, new technologies too often create digital divides and biases across gender, age, and societal status [7,8], and new knowledge is needed to mitigate these. Furthermore, user models need to be developed and applied to adapt chatbot interaction to individual users' requirements.

The conversational challenge: Adapting to users' contexts, chatbots need to support interaction sequences that go beyond more than a small number of steps. For each step in the interaction sequence, a range of valid responses exist. In addition, the chatbot responses need to fit the conversational context. Failure in this regard make the system's interpretation and response to user input prone to error, with conversational breakdown as consequence. Research is needed on artificial intelligence and machine learning to effectively identify and adapt to the conversational context.

Chatbot design and operation: In design of natural language user interfaces in general, and human-chatbot interaction design in particular, we will need to move beyond the current state of the art by combining and extending the fields of information systems, software engineering and human-computer interaction (HCI). In particular, incorporating state-of-the-art knowledge and methods from the emerging field of machine learning will be important. For example, machine learning enable the development of generative interaction models, which in turn will be used to simulate interaction patterns and drive the analysis and (re-)design of natural language interactions with digital systems and services.

Topics

Open questions to be explored in the papers include but are not limited to the following:

  • How should we define and use machine learning effectively for the purpose of human-centred design when developing chatbots?

  • What are the features of existing chatbot frameworks and chatbot agents operating in the wild and what can we learn from them?

  • How to identify and harvest data of relevance from the Internet for assisting the design and development of chatbots?

  • Which analysis tools and techniques are available or needed for both the HCI-community and machine-learning community when analyzing unstructured and structured data?

  • What is the effect of different demographics and culture on the design of chatbots?

  • How to transfer analysis output into actionable insight about users?

  • How can human-centred design benefit from machine learning, sentiment analysis and topic modelling?

  • Lessons learnt from existing work on developing tools concerning chatbots?

  • How can we evaluate and compare the user experience and the quality of dialogue across different chatbots?

  • What are new applications and services that can be enabled by the next generation of chatbots?

  • How should privacy and ethical issues be considered when developing chatbots?

Submissions

We invite three kinds of submissions:

  • Brief position papers or chatbot demonstrations (2-3 pages, low threshold contribution).

  • Theoretical or empirical contributions, including presentations of brave new ideas (6-12 pages, published in the Springer workshop proceedings).

  • Detailed demonstrations, e.g. of chatbot prototypes or conversational analysis approaches (6-12 pages, published in the Springer workshop proceedings).

All submissions should be prepared in the Springer LNCS format.

Submissions will be selected following peer-review, based on their originality, quality and ability to promote discussion amongst the workshop participants. Accepted theoretical or empirical contributions (6-12 pages) and demonstrations (6-12 pages) will be published in the workshop proceedings (Springer LNCS).

At least one author of each accepted paper is expected to attend the workshop for the paper to be included in the workshop proceedings.

Important dates

  • Submission deadline: August 19

  • Acceptance notification: September 15

  • Final submission deadline: October 15

  • Workshop: November 22

Organizers

  • Asbjørn Følstad, SINTEF, Norway

  • Symeon Papadopoulos, Centre for Research and Technology Hellas, Greece

  • Ole-Christoffer Granmo, Uni. Agder, Norway

  • Petter Bae Brandtzæg, SINTEF, Norway

 

CfP - 1st International Workshop on Multimedia Verification at ACM Multimedia 2017

posted May 23, 2017, 4:59 AM by Symeon Papadopoulos

MuVer 2017
1st International Workshop on Multimedia Verification at ACM Multimedia 2017
October 23-27, 2017, Mountain View, CA, USA


Call for Papers

Multimedia, especially when also including video, is a very powerful medium for broadcasting and sharing online what is happening directly around us and elsewhere in the world; and, organizations and individuals alike increasingly rely on user-generated multimedia recordings of breaking and developing news events shared by others in social media for illustrating a story. However, there is not only richness and expressiveness of information in user-generated multimedia; there is also a high risk of deception and misinformation. Access to increasingly sophisticated multimedia editing and content management tools, and the ease with which fake information spreads in electronic networks, means that news outlets and social platforms that wish to remain reputable, as well as amateurs re-publishing a multimedia item (e.g. bloggers), need to carefully verify third-party content before (re-)publishing it. This is vital in order to break news quickly, but not at the expense of accuracy and factuality. In addition to this, even individual consumers of TV and online social media and multimedia sharing services are increasingly aware of the risk of deception that exists in media sharing. That is why increasingly more people are becoming interested in simple ways of understanding what to trust, how to assess the veracity of information, and how to debunk fakes.

The goal of this workshop is to bring together multimedia and video processing researchers, social media researchers, digital multimedia forensics experts, new media professionals, as well as multimedia and social sharing platform representatives, in an interdisciplinary forum for presenting and discussing the latest advances and open challenges in multimedia verification.

Topics of interest

The MuVer 2017 topics of interest include, but are not limited to:
  • Reverse image and video search for multimedia verification
  • Use of contextual cues for multimedia, video, audio and associated content verification
  • Multimedia, audio and video file forensic analysis
  • Detection of multimedia items on breaking news events in social media
  • User trustworthiness in multimedia sharing and social media platforms
  • Multimedia geotagging and geographical aspects of multimedia verification
  • Ethical and legal issues of multimedia verification and sharing
  • News framing and manipulation through multimedia
  • Journalistic workflows and (best) practices for multimedia verification
  • Datasets and benchmarking for multimedia verification
  • Tools and applications for multimedia, video and audio verification

Submissions

We invite original work in the above specified and any other related areas. Submissions may be up to 6 pages long, including references, formatted according to ACM MM 2017 guidelines for regular papers (using the acm-sigconf template which can be obtained from the ACM proceedings style page), and adhering to the double-blind review policy. The submissions should explicitly explain how they relate to the overall goal of multimedia verification, and what kind of benefits the techniques proposed therein provide to the potential users of the content. Each submission to the workshop will be peer-reviewed by at least three expert reviewers.

Deadlines

  • Paper submission: July 19, 2017
  • Accept/reject notification: August 10, 2017
  • Accepted camera-ready papers due: August 24, 2017 

Organizers

  • Vasileios Mezaris, CERTH-ITI, Greece
  • Lyndon Nixon, MODUL Technology GmbH, Austria
  • Symeon Papadopoulos, CERTH-ITI, Greece
  • Jochen Spangenberg, Deutsche Welle, Germany


Workshop on Hybrid Human-Machine Computing (HHMC 2017)

posted Apr 15, 2017, 11:04 AM by Symeon Papadopoulos

Call for (Extended) Abstracts

2017 Workshop on Hybrid Human-Machine Computing (HHMC 2017):
From Human Computation to Social Computing and Beyond

20-21 September, 2017 University of Surrey, Guildford, UK Website: http://hhmc2017.commando-humans.net/ Call for Abstracts: http://hhmc2017.commando-humans.net/HHMC2017_CFP.pdf Financial Co-Sponsors: Institute for Advanced Studies (IAS), University of Surrey, UK School of Computer Science and Informatics, Cardiff University, UK EU H2020 project QROWD EU H2020 project Stars4All EU FP7 Marie Curie Initial Training Network ESSENCE Singapore-UK project COMMANDO-HUMANS Singapore-UK project "Cyber security solutions for smart traffic control systems" Surrey Centre for Cyber Security (SCCS), University of Surrey, UK IBM UK Technical Co-Sponsor: IEEE Systems, Man and Cybernetics (SMC) Society's Technical Committee on Cognitive Computing

Important Dates

Abstract Deadline: 21 May 2017 Author Notification: 23 June 2017 Early Registration: 17 July 2017 (presenters) / 4 September 2017 (non-presenters)

Topics of Interest

We welcome submissions addressing research problems in the following (but not limited to these) topics related to Hybrid Human-Machine Computing (HHMC):
  • Social media analytics
  • Human computation (crowdsourcing, games with a purpose, human interactive proofs, CAPTCHA, mobile sensing, etc.)
  • Social computing
  • Computational social science
  • Social simulation
  • Computer-mediated communication
  • Human-in-the-loop computing (modelling, simulation, optimization, machine learning, data mining, etc.)
  • Humans as (part of digital / physical) sensors
  • Computer-assisted arts
  • Human-assisted computer arts
  • Human-agent collectives
  • Computer-supported cooperative work (CSCW)
  • Collective intelligence
  • Social search (e.g., collaborative filtering)
  • Cognitive computing, cognitive psychology and cognitive science in general
  • Computational behavioral science
  • Human-centric computing / Human-oriented computing
  • Human-like computing
  • Citizen science
  • Brain-computer interface
  • Human-robot hybrids / Robot-human hybrids / Cybernetic organisms / Cyborgs
  • Humanoid / Humanoid robots / Androids
  • Biological robots / Biots
  • Social robots
  • Related theoretical computer science topics such as Turing tests
  • Related philosophical aspects such as definition of intelligence and essential differences between humans and machines
  • Ethical issues about HHMC
  • Legal aspects of HHMC
  • Business opportunities around HHMC
  • Industrial innovations around HHMC
  • Applications of HHMC in different fields such as physical sciences, engineering, medical sciences, social sciences, humanities

Guidelines for Submissions

If you are interested in participating in this workshop, you need to submit an (extended) abstract up to 800 words. You don't have to use all the 800 words. If you can use less words to clearly describe what you want to present, feel free to do so. All submitted (extended) abstracts will be reviewed by the workshop's technical program committee. You should submit your work electronically through the workshop's online submission website https://easychair.org/conferences/?conf=hhmc2017. Please select at least one presentation type for your submission so that the TPC will have more flexibility to define the program. If you want to present an already published work, you should consider update the published paper which will be used as a reference by the TPC to make a decision on your submitted abstract. In other cases, you can also submit a full paper as additional proof of the quality of your work.

Post-Workshop Journal Special Issue

No workshop proceedings will be produced for the conference, but the workshop's program page will include submitted abstracts and presentations. Selected original work and surveys will be invited for a special issue of the journal Human Computation, following a normal but faster peer-review process. The expected publication date of the special issue is in early 2018.

Keynote Speakers

At the HHMC 2017 workshop, a number of world renowned researchers working on related research topics will give keynote speeches. Currently confirmed keynote speakers include:
  • Professor Lenore Blum, Distinguished Career Professor of Computer Science, Carnegie Mellon University, USA
  • Professor Manuel Blum, Bruce Nelson University Professor of Computer Science, Carnegie Mellon University, USA (1995 ACM Turing Award)
  • Professor Nigel Gilbert, Director of Institute of Advanced Studies (IAS), University of Surrey, UK (CBE 2016)

Human Computing and Social Computing symposium at IEEE COMPSAC 2017

posted Jan 25, 2017, 4:11 AM by Rene Kaiser   [ updated Mar 20, 2017, 5:34 AM ]

Submission is still possible - for details please see: https://www.computer.org/web/compsac2017/hcsc
Deadline: January 31st, 2017



The rapid development of computing technologies has paved the way for involving human interactions in the physical and cyber world. These interactions, including both human interactions with each other and with computing systems of any kind, are playing increasingly important roles in our lives. Examples of such interactions include but are not limited to improving human life and well being, discovering knowledge, enabling personalized and context-sensitive services, detecting interesting events/phenomena in the natural environment, enhancing system performance, etc. Such widespread use of computing technology also raises novel questions surrounding accessibility of use, legal and ethical issues of information creation, capture and sharing, and privacy of users. The HCSC symposium seeks full papers (10 pages max) and short papers (6 pages max) that concentrate on:

1) how humans interact with computing systems and with each other through computing systems and environments

2) how interactions between humans and other agents on social networking platforms can be leveraged to predict user and group behavior, study social phenomena and discover knowledge;

3) how to design accessible computing technology, and increase awareness of risks and benefits of computing technology;

4) how emerging technology such as wearable sensors are used in improving human lifestyle and well-being

5) what new challenges emerge as humans use computing technology in everyday life (privacy risks, ethical and legal challenges).

We welcome papers with emphasis on one or both topics of human-centric computing and social computing. In particular, topics of interest in HCSC include but are not limited to:

  • human-centric visualization, representation, and modeling of Big Data;
  • human-centric system and interface design and evaluation for health and well-being
  • context-aware and situation-aware computing
  • design of affective technology
  • social computing approaches and tools, such as social search, social network analysis and visualization
  • social multimedia services and tools;
  • study of real-world events and phenomena through analyzing interactions in social networking platforms;
  • social communication systems
  • social multimedia knowledge discovery;
  • verification and quality aspects of social media information and content;
  • privacy issues in everyday computing devices and social networking environments.
     

In addition to regular papers we welcome short papers (6 pages) and fast abstracts (2 pages). Authors are invited to submit original, unpublished research work, as well as industrial practice reports. Simultaneous submission to other publication venues is not permitted. In accordance with IEEE policy, submitted manuscripts will be checked for plagiarism; instances of alleged misconduct will be handled according to the IEEE Publication Services and Product Board Operations Manual.



CFP: 2017 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2017)

posted Oct 18, 2016, 1:57 PM by yuhong liu

CALL FOR PAPERS (Deadline extended: Oct 21, 2016)

2017 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2017) 
(http://www.bigcomputing.org) 
Jeju Island, Jeju, KOREA 
February 13-16, 2017 

Goals: Big data and smart computing are emerging research fields that have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines. The goal of the 2017 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), initiated by KIISE (Korean Institute of Information Scientists and Engineers), is to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system developments, and practical experiences in these emerging fields. Following the successes of the previous BigComp conferences in Bangkok, Thailand (2014), Jeju, Korea (2015), and Hong Kong, China (2016), the 2017 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2017) will be held in Jeju, Korea. The conference is co-sponsored by IEEE Computer Society and KIISE. IEEE BigComp 2017 invites authors to submit original research papers and original work-inprogress reports on any aspects of big data and smart computing. 

Related Topics: The topics of interest for IEEE BigComp 2017 include (but are not limited to): 
- Techniques, models and algorithms for big data 
- Tools and systems for big data 
- Machine learning and AI for big data 
- Data mining, graph mining and data science 
- Web search and information retrieval 
- Infrastructure and platform for smart computing 
- Models and tools for smart computing 
- Big data analytics and social media 
- Cloud and grid computing for big data 
- Hardware software infrastructure for big data 
- Security and privacy for big data 
- Mobile communications and networks 
- Smart devices and hardware 
- Smart location-based services 
- Big data applications, bioinformatics, multimedia, smartphones, etc. 

Submission: Papers must be formatted in PDF according to the IEEE two-column format for conference proceedings and submitted through EasyChair, http://www.easychair.org. The direct link for paper submission is https://www.easychair.org/conferences/?conf=bigcomp2017. Papers can be either regular or short papers, where regular papers are limited to 8 pages and short ones to 4 pages. Details about the submission process including formatting instructions are at the conference website. 

Journal Publication: Selected papers will be invited for publication in the following journals after further revision and extension. 
METHOD Journal (SCI) 
Journal of data mining and bioinformatics (SCIE) 
The Journal of Supercomputing (SCI) 
Journal of Computing Science and Engineering (SCOPUS)

Awards 
Best Paper Awards will be conferred at the conference to the authors of selected outstanding papers. 

Important Dates: 
- Paper submission deadline : October 21, 2016(17:00, PDT) -- Extended
- Acceptance notification : December 16, 2016 
- Camera-ready upload due : January 13, 2017 
- Author registration due :January 16, 2017 
- Early-registration due : February 1, 2017 
- Conference dates : February 13-16, 2017 

Organizing Committee Members 
[Steering Committee] 
- Kyu-Young Whang, KAIST, Korea (Chair) 
- Tok Wang Ling, National University of Singapore, Singapore (Vice Chair) 
- Jee-In Kim, Konkuk University, Korea (Secretary) 
- Kang G. Shin, University of Michigan, USA (Adviser) 
- Jiawei Han, University of Illinois at Urbana-Champaign, USA 
- Il-Yeol Song, Drexel University, USA 
- Choong Seon Hong, Kyung Hee University, Korea 

[General Co-Chairs] 
- Choong Seon Hong, Kyung Hee University, Korea 
- Xiaofang Zhou, University of Queensland, Australia 

[Organizing Chair] 
- Jinho Kim, Kangwon National University, Korea 

[Program Committee Co-Chairs] 
- Song Chong, KAIST, Korea 
- Wookey Lee, Inha University, Korea 
- Jaideep Srivastava, University of Minnesota, USA 
- Jeffrey Yu, The Chinese University of Hong Kong, China 

[Publication Co-Chairs] 
- Ho-Jin Choi, KAIST, Korea 
- Wen-Chih Peng, National Chiao Tung University, Taiwan 
- Yasushi Sakurai, University of Kumamoto, Japan 

[Publicity Co-Chairs] 
- Xiaoyong Du, Renmin University, China 
- Seong-Ho Jeong, Hankuk University of Foreign Studies, Korea 
- Yuhong Liu, Santa Clara University, USA 
- Yang-Sae Moon, Kangwon National University, Korea 
- Walid Saad, Virginia Technology, USA 
- Katsuyuki Yamazaki, Nagoya University of Technology, Japan 
- Demetris Zeinalipour, University of Cyprus, Cyprus 

[Tutorial Co-Chairs] 
- Mohamed Sharaf, University of Queensland, Australia 
- Siu Ming Yiu, University of Hong Kong, China 
- Byoung-Tak Zhang, Seoul National University, Korea 

[Workshop Co-Chairs] 
- Sourav Bhowmick, Nanyang Technological University, Singapore 
- Bong-Hee Hong, Pusan National University, Korea 

[Finance Co-Chairs] 
- Haruo Yokota, Tokyo Institute of Technology, Japan 
- Yong-Ik Yoon, Sookmyung Women’s University, Korea 

[Local Arrangement Chair] 
- Heejoon Chae, Seoul National University, Korea 
- Junghoon Lee, Jeju National University, Korea 

[Registration Co-Chairs] 
- Zhifeng Bao, RMIT University, Australia 
- Min Song, Yonsei University, Korea 

[Web Co-Chairs] 
- Chulyun Kim, Sookmyung Women’s University, Korea 
- Carson K. Leung, University of Manitoba, Canada 

[International Liaison Co-Chairs] 
- Yun Jang, Sejong University, Korea 
- Sun Kim, Seoul National University, Korea 

[Steering Committee Liaison] 
- Tok Wang Ling, National University of Singapore, Singapore 


Sponsored by IEEE Computer Society and Korean Information Scientists and Engineers

CFP: Special Issue on Security and Privacy Protection of Social Networks in Big Data Era (Mathematical Problems in Engineering)

posted Sep 28, 2016, 10:25 AM by yuhong liu   [ updated Sep 28, 2016, 10:27 AM ]

As ubiquitous computing dramatically changes the way people think, work, and interact, it has become more convenient for individual users to proactively generate, share, and exchange digital contents through online social media, such as online social networks (e.g., Facebook and Twitter), review/rating websites (e.g., Amazon and Yelp rating systems), online crowd sourcing platforms (e.g. Amazon Mechanical Turk), and knowledge gathering and sharing platforms (e.g., Stack Overflow and Wikipedia). These user generated contents (UGC), which take various format as digital video, blogging, forums, online social conversations, mobile phone photography, and so on, have experienced exponential increase recently and become an essential source of Big Data.

However, profit-driven attacks are emerging rapidly, raising great challenges for data security, privacy, and trust. On one hand, malicious attackers can easily manipulate such contents to conduct unethical promotions, to spread rumors, and to mislead public’s decision makings. On the other hand, people carelessly posting their personal information on social media can easily have their privacy breached. In particular, the sheer amount and diverse format of user generated contents have led to emerging security and privacy issues that cannot be resolved by current defense solutions. Traditional security mechanisms and models, which are tailored to securing small-scale or isomorphic data, are inadequate to solve this challenge in Big Data era due to limited bandwidth, storage, and computation power, and so forth. Therefore, how to develop new lightweight cryptographic algorithms/protocols, data mining/organization/optimization models, and performance evaluation methods, to solve the big security challenges, becomes crucial for the success of Big Data.

The purpose of this special issue is to publish high-quality research papers as well as review articles covering the most recent research results that address the mathematical model and algorithms on security, privacy, and trust challenges in Big Data era. Original, high quality contributions that are not yet published or that are not currently under review by other journals or peer-reviewed conferences are sought.

Potential topics include but are not limited to the following:

  • Access control models and anonymization algorithms in Big Data
  • Authentication/authorization algorithms/protocols in Big Data
  • Big Data privacy model in social networks
  • Cryptography in Big Data
  • Data protection and integrity in Big Data
  • Data mining and provenance in Big Data
  • Encrypted searching in Big Data
  • Large-scale data collection and filtering problem
  • New trust mechanism in social networks
  • Privacy and security preserving protocol for social networking
  • Secure outsourcing computing in Big Data
  • Sparse data modeling, compressing, and sensing
  • System designs for secure data storage in Big Data

Authors can submit their manuscripts through the Manuscript Tracking System athttp://mts.hindawi.com/submit/journals/mpe/spps/.

Manuscript DueFriday, 3 February 2017
First Round of ReviewsFriday, 28 April 2017
Publication DateFriday, 23 June 2017
Please check more details at https://www.hindawi.com/journals/mpe/si/307052/cfp/

Lead Guest Editor

  • Lixiang Li, Beijing University of Posts and Telecommunications, Beijing, China

Guest Editors

  • Zonghua Zhang, TELECOM Lille, Villeneuve d’Ascq, France
  • Kaoru Ota, Muroran Institute of Technology, Hokkaido, Japan
  • Liu Yuhong, Santa Clara University, Santa Clara, USA

CFP: The Fourth International Conference on Big Data and Smart Computing (BigComp2017)

posted Sep 20, 2016, 2:56 PM by yuhong liu

The Fourth International Conference on Big Data and Smart Computing (BigComp2017)

(http://www.bigcomputing.org)

Jeju Island, Jeju, KOREA

February 13-16, 2017

 

Goals: Big data and smart computing are emerging research fields that have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines. The goal of the International Conference on Big Data and Smart Computing (BigComp), initiated by KIISE (Korean Institute of Information Scientists and Engineers), is to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system developments, and practical experiences in these emerging fields. Following the successes of the previous BigComp conferences in Bangkok, Thailand (2014), Jeju, Korea (2015), and Hong Kong, China (2016), the 2017 International Conference on Big Data and Smart Computing (BigComp 2017) will be held in Jeju, Korea. The conference is co-sponsored by IEEE(pending) and KIISE. BigComp 2017 invites authors to submit original research papers and original work-inprogress reports on any aspects of big data and smart computing.

 

Related Topics: The topics of interest for BigComp2017 include (but are not limited to):

- Techniques, models and algorithms for big data

- Tools and systems for big data

- Machine learning and AI for big data

- Data mining, graph mining and data science

- Web search and information retrieval

- Infrastructure and platform for smart computing

- Models and tools for smart computing

- Big data analytics and social media

- Cloud and grid computing for big data

- Hardware software infrastructure for big data

- Security and privacy for big data

- Mobile communications and networks

- Smart devices and hardware

- Smart location-based services

- Big data applications, bioinformatics, multimedia, smartphones, etc.

 

Submission: Papers must be formatted in PDF according to the IEEE two-column format for conference proceedings and submitted through EasyChair, http://www.easychair.org. The direct link for paper submission is https://www.easychair.org/conferences/?conf=bigcomp2017. Papers can be either regular or short papers, where regular papers are limited to 8 pages and short ones to 4 pages. Details about the submission process including formatting instructions are at the conference website.

 

Journal Publication: Selected papers will be invited for publication in the following journals after further revision and extension.

METHOD Journal (SCI)

Journal of data mining and bioinformatics (SCIE)

The Journal of Supercomputing (SCI)

 

Awards

Best Paper Awards will be conferred at the conference to the authors of selected outstanding papers.

 

Important Dates:

- Paper submission deadline : September 30, 2016(17:00, PDT)

- Acceptance notification : December 16, 2016

- Camera-ready upload due : January 13, 2017

- Author registration due :January 16, 2017

- Early-registration due : February 1, 2017

- Conference dates : February 13-16, 2017


 

Hosted by : Database Society of Korea, KIISE

2nd IEEE International Symposium on Security and Privacy in Social Networks and Big Data

posted Aug 16, 2016, 1:19 AM by Symeon Papadopoulos

Shangri-La's Fijian Resort and Spa, Fiji, 8-10 December 2016

Symposium Outline

Social Networks and Big Data have pervaded all aspects of our daily lives. With their unparalleled popularity, social networks have evolved from the platforms for social communication and news dissemination, to indispensable tools for professional networking, social recommendations, marketing, and online content distribution. Social Networks, together with other activities, produce Big Data that beyond the ability of commonly used computer software and hardware tools to capture, manage, and process within a tolerable elapsed time.

Due to their scale, complexity and heterogeneity, a number of technical and social challenges in Social Networks and Big Data must be addressed. It has been widely recognised that security and privacy are the critical issues. On one hand, Social Networks and Big Data have been an effective platform for the attackers to launch attacks and distribute malicious information. On the other hand, privacy leakage through Social Networks and Big Data has become common exercise. Following the success of the first event, the aim of the 2nd IEEE International Symposium on Security and Privacy in Social Networks and Big Data (IEEE SocialSec 2016) is to provide a leading edge forum to foster interactions between researchers and developers with the security and privacy communities in Social Networks and Big Data, and to give attendees an opportunity to interact with experts in academia, industry, and governments.

IEEE SocialSec 2016 will be held at Shangri-La's Fijian Resort and Spa, Yanuca Island, Fiji on 8-10 December 2016. Get ready to enjoy a unique trip in an wonderful island in this Globe.


Co-located Events

  • 6th International Symposium on Cloud and Service Computing (SC2-2016)
  • 3rd International Conference on Internet of Vehicles (IOV 2016)
  • 16th International Conference on Computer and Information Technology (CIT 2016)


Important Dates

Paper Submission Due: 7 September 2016
Author Notification: 28 September 2016
Camera-ready Paper due: 5 October 2016
Registration due: 5 October 2016
Symposium Date: 8-10 December 2016


Symposium Topics

The symposium seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of security and privacy in Social Networks and Big Data. Papers describing case studies, implementation experiences, and lessons learned are also encouraged. Topics of interest include but are not limited to:
  • Attacks in/via social networks
  • Information control and detection
  • Malicious behaviour modelling in social networks
  • Malicious information propagation via social networks
  • Phishing problems in social networks
  • Privacy protection in social networks
  • Big data analytics for threats and attacks prediction
  • Spam problems in social networks
  • Trust and reputations in social networks
  • Big data outsourcing
  • Big data forensics
  • Security and privacy in big database
  • Applied cryptography for big data
  • Big data system security
  • Mobile social networks security
  • Security and privacy in cloud
  • Forensics in social networks and big data


Instructions for authors



Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 8 pages in A4 format, including tables, figures, references and appendixes, in IEEE Computer Society proceedings format with Portable Document Format (.pdf). Please refer to http://www.ieee.org/conferences_events/conferences/publishing/templates.html for preparing the submission.

Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the symposium to present the work.


Conference Organisation


General Chairs
Shawkat Ali, University of Fiji, Fiji
David Chadwick, University of Kent, UK
Yang Xiang, Deakin University, Australia

Program Committee Chairs
Jun Zhang, Deakin University, Australia
Mirosław Kutyłowski, Wroclaw University of Technology, Porland
Murat Kantarcioglu, University of Texas at Dallas, US

Workshop Chairs
Motoki Sakai, Chiba University of Commerce, Japan
Aniello Castiglione, University of Salerno, Italy
Ilsun You, Soonchunhyang University, Korea

Publicity Chairs
Md Zakirul Alam Bhuiyan, Temple University, US
Xin Zhu, University of Aizu, Japan
Alfredo Cuzzocrea, University of Trieste, Italy

Program Committee Members
Cristina Alcaraz, University of Malaga, Spain
Man Ho Au, Hong Kong Polytechnic University, Hong Kong
Joonsang Baek, Khalifa University of Science, Technology and Research, Abu Dhabi
Ero Balsa, K.U.Leuven, Belgium
K. Selcuk Candan, Arizona State University, United States
Nan Cao, IBM T.J. Watson Research Center, China
Barbara Carminati, University of Insubria, Italy
David Chadwick, University of Kent, United Kingdom
Richard Chbeir, LIUPPA Laboratory, France
Alfredo Cuzzocrea, ICAR-CNR and University of Calabria, Italy
Hasan Davulcu, Arizona State University, United States
Nan Du, Georgia Institute of Technology, United States
Wei Gao, Qatar Computing Research Institute, Qatar
Gabriel Ghinita, University of Massachusetts, Boston, United States
Sokratis Katsikas, Norwegian University of Science and Technology, Norway
Jaya Kawale, University of Minnesota, United States
Muhammad Khurram Khan, King Saud University, Saudi Arabia
Shinsaku Kiyomoto, KDDI R&D Laboratories Inc., Japan
Xiangnan Kong, Worcester Polytechnic Institute, United States
Joseph Liu, Monash University, Australia
Wojciech Mazurczyk, Warsaw University of Technology, Poland
Prasenjit Mitra, The Pennsylvania State University, United States
Franco Maria Nardini, ISTI-CNR, Italy
Evangelos Papalexakis, Carnegie Mellon University, Australia
Gerardo Pelosi, Politecnico di Milano, Italy
Günther Pernul, Universität Regensburg, Germany
Hung-Min Sun, National Tsing Hua University, Taiwan
Lu-An Tang, NEC Labs America, United States
Ting Wang, Lehigh University, United States
Yu Wang, Deakin University, Australia
Ingmar Weber, Qatar Computing Research Institute, Qatar
Sheng Wen, Deakin University, Australia
Yanghua Xiao, Fudan University, China
Guomin Yang, University of Wollongong, Australia

4th International workshop on Big Data and Social Networking Management and Security

posted Jul 25, 2016, 2:04 AM by Rene Kaiser

Data has always been recognized as an important asset for driving value be it scientific, governmental or for enterprise. The amount of data being generated constantly with high volume, velocity and variety has marked the emergence of "Big Data" as a contemporary research challenge with vast opportunities. In the context of the digital-world, the internet and Social Networks have contributed immensely in generating Big Data pools. Hundreds of millions of people around the globe are nowadays connected using different type of social networks. Big Data and Social Networks become interrelated in the modern computing agenda being both concerned with intensive data. As much opportunities they hold, Big Data and Social Networks come with their own challenges such as management, Security, Processing etc. In order to unlock the potentials of these technologies, innovative solutions are required, which will leverage new models in computing.

The 4th International workshop on Big Data and Social Networking Management and Security will be a forum for scientists, researchers, students, and practitioners to present their latest research results, ideas, developments, and applications in the areas of big data and social networking. We are mainly interested in receiving state of the art work on different aspect of big data management system, big data security and privacy, cloud computing and big data, social networking and big data analytics, and social networking management and security, to mention but few.

Workshop in conjunction with the International Conference for Internet Technology and Secured Transactions (ICITST-2016) December 5-7, 2016, Barcelona, Spain.

See details: http://emergingtechnet.org/BDSN2016/



Multimedia Alternate Realities - AltMM workshop at ACM MM'16

posted Jul 3, 2016, 12:13 PM by Rene Kaiser

 Call for Papers

===============

AltMM 2016 | Multimedia Alternate Realities

Oct 16th 2016

International Workshop held at ACM Multimedia 2016 Oct 15-19, 2016, Amsterdam, The Netherlands

AltMM 2016 Workshop: http://altmm2016.di.fc.ul.pt/

ACM Multimedia 2016: http://www.acmmm.org/2016/

 

Important Dates

===============

Submission date: Jul 10, 2016 (*)

Notification date: Aug 2, 2016

Camera ready: Aug 16, 2016

Workshop: Oct 16, 2016

 (*) To allow for a longer time to submit your papers and for planing a faster review process, please pre-submit your abstracts as soon as possible.

 

Workshop Motivation and Topics

==============================

 Multimedia experiences allow us to access other worlds, to live other people's stories, to communicate with or experience alternate realities. Different spaces, times or situations can be entered thanks to multimedia contents and systems, which coexist with our current reality, and are sometimes so vivid and engaging that we feel we are living in them. Advances in multimedia are making it possible to create immersive experiences that may involve the user in a different or augmented world, as an alternate reality.

 

AltMM 2016, the 1st International Workshop on Multimedia Alternate Realities at ACM Multimedia, aims at exploring how the synergy between multimedia technologies and effects can foster the creation of alternate realities and make their access an enriching, valuable and real experience. The workshop program will contain a combination of oral and invited keynote presentations, and poster, demo and discussion sessions, altogether enabling interactive scientific sharing and discussion between practitioners and researchers.

 

We seek contributions that present multimedia technologies, methods and measurement approaches from the perspective of "enabling other realities". In particular, one or more of the following *dimensions* must be addressed in the contributions by prospective authors, when characterizing the type of multimedia alternate realities that they are aiming for:

 

* Alternate ‐ refers to what is alternate about it: different space, time, situation, and so on;

* Virtual/Augmented ‐ how far or close to the actual reality content can be experienced, ranging from totally virtual to augmented reality;

* Real/Fictional ‐ how real or fictional the content is;

* Interactive ‐ the level of interactivity as a means of engagement and immersion;

* Immersive ‐ level in perceptual, cognitive and emotional terms, the sense of presence and belonging, the quality of the content and the experience, imagination and engagement;

* Multisensorial ‐ the media involved and how much mulsemedia it is, also going beyond audiovisual content to include the five senses;

* Personal ‐ adaptation to individual preferences and contexts;

* Social ‐ individualized vs shared experiences and communication.

 

We invite contributions with the goals and the perspective of enabling alternate realities experiences as characterized above, through multimedia technologies, and design and evaluation methods for its creation and consumption. This involves the use of different types of media content (audio‐visual, haptics, smell, and taste), increased immersion (e.g. 3D, holographic, UHD, ultra‐wideview, and stereoscopic audio), new interaction devices, environments, modalities, and formats.

 

*Topics* include but are not limited to:

 

- Creation and Consumption of Alternate Realities

‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐--

* capturing and sensing;

* content production and authoring, interactive storytelling, digital narratives, cinema and TV;

* crowdsourcing and co‐creation;

* delivery, rendering, and consumption paradigms, co‐experience and communication;

* personalization, post‐processing, enhancement and real‐time adaptation.

 

- Design and Evaluation of Alternate Realities Experience ‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐

* engagement, immersion, flow assessment and prediction;

* experience evaluation through the analysis of quantitative (physiological data, self reports) and qualitative data;

* quality of alternate reality experience measurements and metrics;

* field trial reports and user studies.

 

Alternate Realities Applications

‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐

* from more traditional to multi‐device and multisensory shared content consumption in asynchronous or live scenarios, in personal media, culture, tourism, art, education, training, wellbeing, and so on.

 

 

Paper Submission

================

AltMM 2016 welcomes submissions of full papers (max. 6 pages) for oral presentation, as well as short papers that report work‐in‐progress (4 pages) for poster presentation. Accompanying demonstrations or videos are very welcome and highly appreciated.

 

All submissions must be written in English and must be formatted according to the ACM Proceedings style (page limits are inclusive of all figures and references), and they must contain no information identifying the author(s) or their organization(s). Templates are available at the workshop site.

 

Papers are submitted electronically through the Easy Chair paper submission service: https://easychair.org/conferences/?conf=altmm2016

 

Review Process

==============

Reviews will be double‐blind. Papers will be judged on their relevance, originality, technical content and correctness, and the clarity of presentation of the research.

 

Publication

===========

Accepted papers will appear in the ACM Multimedia 2016 Workshop Proceedings and will be part of the ACM Digital Library. A Special Issue of a Top Ranked Multimedia Journal is being planned.

 

Workshop Chairs

===============

Teresa Chambel, LaSIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal

Rene Kaiser, Joanneum Research, Austria

Omar Aziz Niamut, TNO, The Netherlands

Wei Tsang Ooi, National University of Singapore, Singapore

Judith A. Redi, Delft University of Technology, The Netherlands

 

Program Committee (to be completed)

===================================

Abdelwahab Hamam, Immersion Inc, USA

Adrian Cheok, Imagineering Institute, Iskandar Malaysia

Britta Meixner, FXPAL, USA Cha Zhang, Microsoft Research, Redmond, USA

Graham Thomas, BBC, UK

Hartmut Koenitz, University of Georgia, USA Kuan-Ta Chen, Academia Sinica, Taiwan

Letizia Jaccheri, Norwegian University of Science and Technology, Norway

Marian Ursu, University of York, UK

Marianna Obrist, University of Sussex, UK

Mu Mu, University of Northampton, UK Nimesha Ranasinghe, NUS, Singapore

Nuno Correia, New University of Lisbon, Portugal

Pablo Cesar, CWI, The Netherlands

Paula Viana, Polytechnic of Porto and INESC TEC, Portugal

Ryohei Nakatsu, NUS, Singapore

Santosh Basapur, Institute of Design, IIT, USA

Teresa Andrade, University of Porto and INESC TEC, Portugal

V. Michael Bove, MIT Media Lab, USA

Wendy van den Broeck, Vrije Universiteit Brussel, Belgium

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