Leveraging Indexical Pragmatics (OFIP) for Search Engine: An Ontology- based Approach

dc.contributor.author Liu, Dapeng
dc.contributor.author Yoon, Victoria Y
dc.date.accessioned 2019-01-02T23:49:32Z
dc.date.available 2019-01-02T23:49:32Z
dc.date.issued 2019-01-08
dc.description.abstract The relevance of search results is an important indicator of information retrieval performance. A domain-specific Search Engine (SE), distinct from a general web SE, focuses on a specific segment of online content and may increase search results relevance. Traditional methods to improve domain-specific SE precision heavily depend on query expansion, lexical analysis of texts, and large amounts of training data. These methods suffer from limited effectiveness and efficiency because expanded query terms and coarse language features bring in uncontrollable complexity and increase dimensionality. Our design, leveraging the integrated power of computational syntax, semantics, and indexical pragmatics, proposes an ontology-driven framework that is tailored to work in a dynamic Internet environment without large amounts of manually annotated training data. This article presents our design, that is essential for building a domain-specific SE, and its instantiation in the terrorism domain.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.140
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59554
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Data, Text, and Web Mining for Business Analytics
dc.subject Decision Analytics, Mobile Services, and Service Science
dc.subject Information extraction, Indexical pragmatics, Ontology, Search relevance
dc.title Leveraging Indexical Pragmatics (OFIP) for Search Engine: An Ontology- based Approach
dc.type Conference Paper
dc.type.dcmi Text
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