JMaPSS: Spreading Activation Search for the Semantic Web
Gary, K.
Szabo, B.
Vijayan, L.
Chapman, B.
Radhakrishnan, J.
Sivaraman, A.
Arizona State Univ., Mesa;
Abstract
The semantic Web augments search by providing meta-information to structure knowledge. Challenges associated with search technology, such as accessing a large knowledge base with limited processing capability, may be addressed by AI techniques that provide greater flexibility albeit with less precision. In this paper we present JMaPSS, which applies a parallel search algorithm known as marker-passing to improve search relevancy results. We describe an instantiation of JMaPSS implemented specifically for semantic Web search. Our investigations suggest that such techniques, using an expanded notion of recall emphasizing relevance, deserve additional exploration.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
