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- W2020189267 abstract "A law enforcement ontology that incorporates extensions such as Thesauri, specialized rules, abductive hypothesis and process modeling for expansion of extracted entity phrases, is described. The ontology is part of a project to facilitate automated, reliable identification of related information of interest found in law enforcement-related free-text documents. Results of testing on a complex, real-world law enforcement dataset show that the addition of the ontology significantly improves the expanded entity phrase extraction used for the identification of related information of interest in free-text documents and merits additional expansion. Future work will add semantic inference and insertion functions and extend the specialized rules and abductive hypotheses components." @default.
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- W2020189267 date "2011-09-01" @default.
- W2020189267 modified "2023-10-16" @default.
- W2020189267 title "Law Enforcement Ontology for Identification of Related Information of Interest Across Free Text Dcouments" @default.
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- W2020189267 doi "https://doi.org/10.1109/eisic.2011.36" @default.
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