Now showing items 1-5 of 5

    • Analyzing the AIR Language: A Semantic Web (Production) Rules Language 

      Hendler, James A.; Khandelwal, Ankesh; Bao, Jie; Kagal, Lalana; Jacobi, Ian; Ding, Li (2010-01-01)
      The Accountability In RDF (AIR) language is an N3-based, Semantic Web production rule language that supports nested activation of rules, negation, closed world reasoning, scoped contextualized reasoning, and explanation ...
    • Enhancing Web Privacy Protection through Declarative Policies 

      Kolari, Pranam; Ding, Li; Ganjugunte, Shashidhara; Joshi, Anupam; Finin, Timothy; Kagal, Lalana (2005-01-01)
    • Reports of the AAAI 2011 Fall Symposia 

      Blisard, Sam; Carmichael, Ted; Ding, Li; Finin, Timothy; Frost, Wende; Graesser, Arthur; Hadzikadic, Mirsad; Kagal, Lalana; Kruijff, Geert-Jan; Langley, Pat; Lester, James; McGuinness, Deborah L.; Mostow, Jack; Papdakis, Panagiotis; Pirri, Fiora; Prasad, Rashmi; Stoyanchev, Svetlana; Varakantham, Pradeep (AI Magazine, 2012-03-15)
      The Association for the Advancement of Artificial Intelligence was pleased to present the 2011 Fall Symposium Series, held Friday through Sunday, November 4–6, at the Westin Arlington Gateway in Arlington, Virginia. The ...
    • Rule-Based Trust Assessment on the Semantic Web 

      Jacobi, Ian; Kagal, Lalana; Khandelwal, Ankesh (2011-07-19)
      The Semantic Web is a decentralized forum on which anyone can publish structured data or extend and reuse existing data. This inherent openness of the Semantic Web raises questions about the trust-worthiness of the data. ...
    • Towards a Semantic Web Testbed for Collaborative Policy Development 

      Ding, Li; Waterman, K.; Bao, Jie; Kagal, Lalana; McGuinness, Deborah L. (2009-03-18)
      We aim to improve accountability of distributed data usage by creating tools to support collaborative online development of scenarios and policy infrastructure. This paper reports on our design and development of a simple ...