A user and NLP-assisted strategic workflow for a social semantic OWL 2-based knowledge platform

  • Authors:
  • Jinan El-Hachem;Volker Haarslev

  • Affiliations:
  • Concordia University, Montreal, Quebec, Canada;Concordia University, Montreal, Quebec, Canada

  • Venue:
  • Proceedings of the Workshop on Semantic Analysis in Social Media
  • Year:
  • 2012

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Abstract

Originating from a multidisciplinary research project that gathers, around the Semantic Web standards and principles, Social Networking and Natural Language Processing along with some Bioinformatics notions, this paper sheds the light on some of the most critical aspects of the correspondingly adopted framework and real-time knowledge architecture and modeling platform. It recognizes the considerable profits of an appropriate fusion between the aforementioned disciplines, especially via the proper exploitation of OWL 2 (Web Ontology Language) features and novelties, typically OWL 2 language profiles. Accordingly, it proposes a distinctive workflow with well-defined strategies for an ontology-aware user and NLP-assisted flexible and multidimensional approach for the management of the abundantly available Social data. Application scenarios related to awareness and orientation recommender systems based on biomedical domain ontologies for childhood obesity prevention and surveillance are explored as typical proof of concept application areas.