ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Natural language processing driven ontology modelling to address semantic interoperability in information extraction

Jesudas, BD and Gurumoorthy, B (2018) Natural language processing driven ontology modelling to address semantic interoperability in information extraction. In: International Journal of Product Lifecycle Management, 11 (3). pp. 268-293.

[img] PDF
int_jou_pro_lif_man_11-3_268-293_2018.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: https://doi.org/10.1504/IJPLM.2018.094720

Abstract

The aim of this research is to investigate the use of natural language processing techniques for ontology modelling that would address semantic interoperability problems arising due to terminological and semantic differences during information extraction from documents. These documents contain terminologies that are specific to the group and experts involved in creating them. As manual extraction is a tedious process, natural language processing techniques are suggested in this work. Text from different documents describing new terms are taken as input. These texts are processed to establish either semantic equivalence of the new term with concepts in reference ontology or add the term as a new concept if appropriate. Semantic role labelling is used for concept modelling and semantic role labelling tool is used in deriving the concept instances from the text, which are matched against concepts in the reference ontology to establish equivalence. If instances of attributes are equivalent, then concepts are said to be equivalent and if equivalence is limited to attributes, then ontology is populated with new concept. Results on technical text are presented with discussion on how the limitations observed can be removed.

Item Type: Journal Article
Publication: International Journal of Product Lifecycle Management
Publisher: Inderscience Publishers
Additional Information: The copyright for this article belongs to the Inderscience Publishers.
Keywords: Domain ontology; Information extraction; Mapping; Natural language processing; Ontology modelling; Semantic equivalence; Semantic interoperability; Semantic role labelling; Semantic roles; SENNA; SRL
Department/Centre: Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited: 19 Aug 2022 06:06
Last Modified: 19 Aug 2022 06:06
URI: https://eprints.iisc.ac.in/id/eprint/76009

Actions (login required)

View Item View Item