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Extraction of Synonyms in User-Generated Content

Type: 
Bachelor
Supervisor: 
Student name: 
Alex Oberhauser

User-generated microservices are components or lightweight applications which allow users to obtain and provide information, e.g. opinions, recommendations, location or speed, and functionality to fellow users. They can be created and consumed on the end-user’s own terminals or “on-the-go”, in particular, at events such as conferences, exhibitions, music festivals. Such type of content and applications has been shown to be highly desirable for end-users on mobile platforms, e.g. for location based services addressing virtual communities and entertainment.   This thesis work will be undertaken in the framework of the EU-funded project m:Ciudad (http://www.mciudad-fp7.org). m:Ciudad is a service architecture, a set of mobile tools and a platform to allow users to create focused, knowledge-based mobile microservices. Microservices will be shareable and downloadable in order to allow every end user to become a microservice generator and provider.   The goal of the proposed thesis is to design a mechanism for establishing synonyms for a given keyword to aggregate syntactically as well as semantically similar keywords for a specific concept. (for example, the keywords “soccer” and “football” ) . In particular, that would be achieved by making references to (multi-lingual) thesauri, ontology matchers, and other kinds of structured and semi-structured data. An algorithm for a suggestion of synonyms is to be designed and implemented. The algorithm may also take in the account the user’s profile and community information, and estimate the degree of expected acceptance of the suggested synonym with the user. In the m:Ciudad project, the developed mechanism will be applied to mobile context-aware microservice composition, search and sharing. The thesis project will involve work with semantic data available as Linked Open Data, in particular, if that matches the selected use case, DBLP scientific papers publications data and data of scientific conferences attendance by researchers. Technologies such as GATE, Ontology Alignment API and/or Open Social API might be used.   References: • Berners-Lee, T., Hendler, J., Lassila, O., 2001. The Semantic Web. Scientific American 284(5), pp. 34-43. • Jameson (2006). Usability and the Semantic Web. In Y. Sure & J. B. Domingue (Eds.), The Semantic Web: Research and Applications: Proceedings of the Third European Semantic Web Conference, ESWC 2006 (p. 3), Berlin: Springer. • GATE – General Architecture for Text Engineering: http://gate.ac.uk • Ontology Alignment API: http://alignapi.gforge.inria.fr/ • Linked Open Data: http://linkeddata.org/ • OpenSocial API • Jena Semantic Web Framework: http://jena.sourceforge.net  

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