Mobile Context-Aware Systems: Technologies, Resources and Applications

Mobile applications often adapt their behavior according to user context, however, they are often limited to consider few sources of contextual information, such as user position or language. This article reviews existing work in context-aware systems (CAS), e.g., how to model context, and discusses further development of CAS and its potential applications by looking at available information, methods and technologies. Social Media seems to be an interesting source of personal information when appropriately exploited. In addition, there are many types of general information, ranging from weather and public transport to information of books and museums. These information sources can be combined in previously unexplored ways, enabling the development of smarter mobile services in different domains. Users are, however, reluctant to provide their personal information to applications; therefore, there is a crave for new regulations and systems that allow applications to use such contextual data without compromising the user privacy.

[1]  Krishna P. Gummadi,et al.  You are who you know: inferring user profiles in online social networks , 2010, WSDM '10.

[2]  Annika Hinze,et al.  Locations- and Time-Based Information Delivery in Tourism , 2003, SSTD.

[3]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[4]  Till Christopher Lech,et al.  AmbieAgents: a scalable infrastructure for mobile and context-aware information services , 2005, AAMAS '05.

[5]  Daniel Gatica-Perez,et al.  The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data , 2014, IEEE Transactions on Mobile Computing.

[6]  Stuart Weibel,et al.  The State of the Dublin Core Metadata Initiative April 1999 , 1999, D Lib Mag..

[7]  Pankaj Mehra.  Context-Aware Computing: Beyond Search and Location-Based Services , 2012, IEEE Internet Comput..

[8]  Gary M. Weiss,et al.  Activity recognition using cell phone accelerometers , 2011, SKDD.

[9]  Tao Gu,et al.  Ontology based context modeling and reasoning using OWL , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[10]  Tao Gu,et al.  A service-oriented middleware for building context-aware services , 2005, J. Netw. Comput. Appl..

[11]  Mark Claypool,et al.  Inferring User Interest , 2001, IEEE Internet Comput..

[12]  Jens Lehmann,et al.  DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[13]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[14]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[15]  Monder Ram.  Management by association: Interpreting small firm‐associate links in the business services sector , 1999 .

[16]  Amit P. Sheth,et al.  The SSN ontology of the W3C semantic sensor network incubator group , 2012, J. Web Semant..

[17]  R. Bharat Rao,et al.  Evolution of mobile location-based services , 2003, CACM.

[18]  Anton Vedder,et al.  Reliability of information on the Internet: Some distinctions , 2004, Ethics and Information Technology.

[19]  Debajyoti Mukhopadhyay,et al.  User Profiling Trends, Techniques and Applications , 2015, ArXiv.

[20]  Alexiei Dingli,et al.  User-System Cooperation in Document Annotation Based on Information Extraction , 2002, EKAW.

[21]  Alejandro Rivero Rodriguez,et al.  Problems in Context-Aware Semantic Computing , 2014, Int. J. Interact. Mob. Technol..

[22]  Tianzhu Zhang,et al.  Context-aware learning for automatic sports highlight recognition , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[23]  Lei Shi,et al.  Contextual Gamification of Social Interaction - Towards Increasing Motivation in Social E-learning , 2014, ICWL.

[24]  J E Backus,et al.  MEDLINEplus: building and maintaining the National Library of Medicine's consumer health Web service. , 2000, Bulletin of the Medical Library Association.

[25]  Dan Roth,et al.  Learning to Resolve Natural Language Ambiguities: A Unified Approach , 1998, AAAI/IAAI.

[26]  Oscar Corcho,et al.  Semantic Sensor Network XG Final Report , 2011 .

[27]  Nancy R. Glassman,et al.  Location-Based Services: Foursquare and Gowalla, Should Libraries Play? , 2010 .

[28]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[29]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[30]  Kevin Curran,et al.  Context-aware intelligent recommendation system for tourism , 2013, 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[31]  Stuart Weibel.  The State of the Dublin Core Metadata Initiative , 1999 .

[32]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[33]  Andrea Esuli,et al.  SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining , 2006, LREC.

[34]  Christian Becker,et al.  DBpedia Mobile: A Location-Enabled Linked Data Browser , 2008, LDOW.

[35]  Helena Leppäkoski,et al.  Semantic labeling of places based on phone usage features using supervised learning , 2014, 2014 Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS).

[36]  Georgios K. Ouzounis,et al.  Smart cities of the future , 2012, The European Physical Journal Special Topics.

[37]  Stephan Bloehdorn,et al.  TagFS - Tag Semantics for Hierarchical File Systems , 2006 .

[38]  Kristof Van Laerhoven,et al.  How to build smart appliances? , 2001, IEEE Personal Communications.

[39]  C E Lipscomb,et al.  Medical Subject Headings (MeSH). , 2000, Bulletin of the Medical Library Association.

[40]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[41]  Marshall S. Smith,et al.  The general inquirer: A computer approach to content analysis. , 1967 .

[42]  Keith Cheverst,et al.  Developing a context-aware electronic tourist guide: some issues and experiences , 2000, CHI.

[43]  Guanling Chen,et al.  A Survey of Context-Aware Mobile Computing Research , 2000 .

[44]  Claire Cardie,et al.  39. Opinion mining and sentiment analysis , 2014 .

[45]  Mohamad Yassin,et al.  A survey of positioning techniques and location based services in wireless networks , 2015, 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES).

[46]  Huan Liu,et al.  Exploiting homophily effect for trust prediction , 2013, WSDM.

[47]  Mikael B. Skov,et al.  Supporting information access in a hospital ward by a context-aware mobile electronic patient record , 2006, Personal and Ubiquitous Computing.