Evaluating ontology mapping techniques: An experiment in public safety information sharing

Siddharth Kaza, Hsinchun Chen

Research output: Contribution to conferencePaperpeer-review

Abstract

The public safety community in the United States consists of thousands of local, state, and federal agencies each with its own information system. In the past few years there has been a thrust on the seamless interoperability of systems in these agencies. Ontology-based interoperability approaches in this domain need to rely on mapping between ontologies as each agency has its own representation of information. However, there has been little study of ontology-based information integration approaches and mapping techniques in the public safety domain. We evaluate current mapping techniques with real-world data representations from law-enforcement and public safety data sources. We find that PROMPT, Chimaera, and LOM have an average precision of 85% and a recall of 27% when matching pairs of ontologies with the number of classes ranging from 17-73. In addition, we find that tools that use secondary sources to establish mappings between ontologies are likely to perform better in this domain.

Original languageEnglish (US)
Pages195-200
Number of pages6
StatePublished - 2005
Event15th Workshop on Information Technology and Systems, WITS 2005 - Las Vegas, NV, United States
Duration: Dec 10 2005Dec 11 2005

Other

Other15th Workshop on Information Technology and Systems, WITS 2005
CountryUnited States
CityLas Vegas, NV
Period12/10/0512/11/05

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering

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