Title :
Probabilistic RDF
Author :
Udrea, Octavian ; Subrahmanian, V.S. ; Majki, Zoran
Author_Institution :
Maryland Univ., College Park, MD
Abstract :
RDF is rapidly being adopted around the world as a paradigm for knowledge representation. However, we are not aware of any version of RDF that can express probabilistic knowledge. In this paper, we develop a framework called probabilistic RDF (pRDF for short) - we provide a syntax as well as a model theoretic and fixpoint semantics for acyclic pRDF theories. We then provide algorithms to efficiently answer queries posed to pRDF ontologies. We have developed a prototype implementation that shows that our algorithms work very well in practice
Keywords :
ontologies (artificial intelligence); probability; query processing; knowledge representation; ontologies; probabilistic RDF; probabilistic knowledge; query answering;
Conference_Titel :
Information Reuse and Integration, 2006 IEEE International Conference on
Conference_Location :
Waikoloa Village, HI
Print_ISBN :
0-7803-9788-6
DOI :
10.1109/IRI.2006.252408
