JMaPSS: Spreading activation search for the semantic web

Kevin Gary, Bradley Szabo, Lavanya Vijayan, Braden Chapman, Jayavarshini Radhakrishnan, Aishwarya Sivaraman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007
Pages104-109
Number of pages6
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007 - Las Vegas, NV, United States
Duration: Aug 13 2007Aug 15 2007

Publication series

Name2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007

Other

Other2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007
CountryUnited States
CityLas Vegas, NV
Period8/13/078/15/07

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering

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  • Cite this

    Gary, K., Szabo, B., Vijayan, L., Chapman, B., Radhakrishnan, J., & Sivaraman, A. (2007). JMaPSS: Spreading activation search for the semantic web. In 2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007 (pp. 104-109). [4296605] (2007 IEEE International Conference on Information Reuse and Integration, IEEE IRI-2007). https://doi.org/10.1109/IRI.2007.4296605