Workshop on Knowledge Discovery and User Modelling for Smart Cities (KDD-UMCit 2018)

In conjunction with the Knowledge Discovery and Data Mining Conference (KDD 2018)

August 20, 2018

London, UK


Website: https://kdd-umcit.isistan.unicen.edu.ar/

AIM AND SCOPE
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User modelling and personalization are commonly used in multiple tasks, in which users are characterized based only on explicit information about their knowledge, behaviour, social relations or preferences, aiming at adapting generic systems to the particularities of each user. The ubiquitousness of social networking sites, and mobile and smart-devices offer new information sources, opportunities and challenges for changing the personalization paradigm. The analysis of these new sources of data offers new research opportunities across a wide variety of disciplines, including media and communication studies, linguistics, sociology, health, psychology, information and computer sciences, or education. This has important implications in the context of inclusive eGovernment and Smart Cities, which could leverage on the user’s models to design and tailor services according to the characteristics and needs of each particular citizen. This would allow to mine and analyse user behaviour aiming at better understanding users (and ourselves), and thereby create more accurate models and personalisation strategies.

The opportunities for advanced research are matched by several challenges. First, the process of knowledge discovery, i.e. how data could be collected and interpreted. Second, the long-term availability of data, the interpretation of user-generated information, and the need for qualitative and quantitative, as well as user-based and content-based research approaches. This also leads to ethical and legal considerations. Third, due to the heterogeneous nature of smart devices, it is necessary to research methods on representing users and their behaviour. Fourth, the processing and management of high volumes of generated multi-dimensional personal data hinder effective and efficient data management. Fifth, the creation of long-term user models, which should capture the particularities of users across long periods of time, as well as coping and adapting to dynamic changes in life patterns. Finally, these models should be made available for multiple applications, for example, they could be integrated in real world health systems.

Particularly, this workshop targets people who are interesting in sensing/mining/understanding data generated by citizens (including but not limited to social media data and data generated with smart devices) that can derive personalization models as well as to tackle challenges in cities and help better formulate the future of cities.


MOTIVATION OF THE WORKSHOP
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In conjunction, the analysis of new sources of data (such as social media and smart devices, amongst others) offer new research opportunities across a wide variety of disciplines, including media and communication studies, linguistics, sociology, health, psychology, information and computer sciences, or education. This has important implications in the context of inclusive eGovernment and Smart Cities, which could leverage on the user’s models to design and tailor services according to the characteristics and needs of each particular citizen. This allows to mine and analyse user behaviour aiming at discovering knowledge that would allow to better understand users (and ourselves), and thereby create more accurate models and personalisation strategies. Hence, a significant need arises for further development of innovative methods and approaches that are able to mine and deal with such new data sources.


TOPICS OF INTEREST
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The workshop aims to facilitate the exchange of ideas between the different research communities and practitioners involved in the research on lifelong user modelling and personalization in the context of smart cities. We solicit original, unpublished and innovative research work on all aspects around, but not limited to, the following topics:
* Mining Personal, Linked and Social Data.
* Techniques for collection, aggregation and analysis of Personal, Linked and Social Data.
* Semantics Representation of the mined data.
* Big data, scalability issues and technologies for massive social data extraction.
* Lifelogging techniques, sensor networks, wearable devices for collecting user information such as behaviour or biometric data.
* Tracking implicit feedback (e.g. social activities) to infer user interests.
* Digital preservation and maintenance of lifelogging data.
* User, group and family modelling in eGovernment and Smart Cities.
* Mining of user behaviour, opinion mining, and sentiment analysis in eGovernment and Smart Citizens.
* Gamification and/or Crowdsourcing for mining citizens’ profiles and opinions
* Ethics, Privacy, perceived security and trust for lifelong User Models.
* Standards, specifications for lifelong User Models.
* User awareness and control over their own data.
* User preferences for managing long-term personal data.
* Interoperability, semantics for reusing and sharing user data.
* Ethical issues, need for transparency, privacy management of Personal and Social data.
* Lifelong learning and support.
* Applications of Lifelogging and User Modelling
* Quantified Self and eHealth domain.
* Recommender Systems based on lifelogging and social data, physiological data, emotions or behaviour.
* Adaptation and Personalization in eGovernment domain.
* Intelligent and Personalized Smart Cities-related.
* Online Monitoring based on Social Data.
* Lifelogging applications in computational social sciences.
* Evaluation of lifelogging technologies.
* Approaches for the personalization of inclusive, personal and interactive services to citizens.
* Citizen-centred service design and modelling.


IMPORTANT DATES
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Submission deadline: May 29, 2018
Notification date: June 8, 2018
Final version submission date: July 8, 2018
Workshop: August 20, 2018


PROGRAM COMMITTEE CHAIRS
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Dr. Marcelo G. Armentano, ISISTAN Research Institute (CONICET- UNICEN), Argentina
Dr. Frank Hopfgartner, University of Sheffield, United Kingdom
Dr. Ioanna Lykourentzou, Luxembourg Institute of Science and Technology, Luxembourg
Dr. Antonela Tommasel, ISISTAN, CONICET-UNICEN, Argentina


SUBMISSION AND SELECTION PROCESS
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Each submitted paper to the workshop will be refereed by at least three members of the Workshop Program Committee, based on its novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. Submissions must be in English, and can present mature research or experimental results as well as promising work in progress. We invite two kinds of submissions:
* Full research papers – up to 9 pages (8 pages at most for the main body and the last page can only hold references).
* Short papers - up to 5 pages (4 pages at most for the main body and the last page can only hold references) presenting work in progress.

All manuscripts should be prepared following ACM camera-ready templates available at: http://www.acm.org/publications/proceedings-template.