Towards Knowledge Handling in Ontology-Based Information Extraction Systems | Zendy

Agnieszka Konys | Zendy

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Towards Knowledge Handling in Ontology-Based Information Extraction Systems

Author(s) -

Agnieszka Konys

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.07.228

Subject(s) - computer science , ontology , information extraction , context (archaeology) , process (computing) , process ontology , knowledge extraction , knowledge sharing , information retrieval , taxonomy (biology) , data science , knowledge management , software engineering , data mining , semantic web , philosophy , epistemology , paleontology , botany , biology , operating system

Ontologies proved to be efficient and powerful tools for gathering and sharing knowledge, providing explicit specifications of conceptualizations. However, the proper ontology construction processes and their updating of various data sources, require a huge effort and well-adjusted mechanisms to their extraction, positioning and sharing. In this context, the application of a proper Ontology-Based Information Extraction (OBIE) system may help in solving these problems. The paper is a successful attempt to purvey state-of-the-art of selected OBIE systems, followed by the process of taxonomy construction and aftermath knowledge systematization of particular OBIE approaches.

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