An Automatic Ontology Generation Framework with An Organizational Perspective

dc.contributor.author Elnagar, Samaa
dc.contributor.author Yoon, Victoria
dc.contributor.author Thomas, Manoj
dc.date.accessioned 2020-01-04T08:11:22Z
dc.date.available 2020-01-04T08:11:22Z
dc.date.issued 2020-01-07
dc.description.abstract Ontologies have been known for their powerful semantic representation of knowledge. However, ontologies cannot automatically evolve to reflect updates that occur in respective domains. To address this limitation, researchers have called for automatic ontology generation from unstructured text corpus. Unfortunately, systems that aim to generate ontologies from unstructured text corpus are domain-specific and require manual intervention. In addition, they suffer from uncertainty in creating concept linkages and difficulty in finding axioms for the same concept. Knowledge Graphs (KGs) has emerged as a powerful model for the dynamic representation of knowledge. However, KGs have many quality limitations and need extensive refinement. This research aims to develop a novel domain-independent automatic ontology generation framework that converts unstructured text corpus into domain consistent ontological form. The framework generates KGs from unstructured text corpus as well as refine and correct them to be consistent with domain ontologies. The power of the proposed automatically generated ontology is that it integrates the dynamic features of KGs and the quality features of ontologies.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.597
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/64339
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd 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 Knowledge Flow, Transfer, Sharing, and Exchange
dc.subject automatic ontology
dc.subject free text ontology
dc.subject graph embedding
dc.subject knowledge graph consistency
dc.subject knowledge graphs
dc.title An Automatic Ontology Generation Framework with An Organizational Perspective
dc.type Conference Paper
dc.type.dcmi Text
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