Semantic analysis in the automation of ER modelling through natural language processing

N Omar, JRP Hanna, P McKevitt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
6 Downloads (Pure)

Abstract

This paper deals with the problem of extracting semantic knowledge in the production of ER models from natural language specifications. The application of semantic heuristics is proposed as the strategy to obtain the relevant ER elements such as entities, attributes and relationships from the specifications. Earlier research has shown that syntactic heuristics produced good results in identifying the relevant and correct results of the ER elements in terms of recall and precision. The inclusion of the semantic lexical knowledge is hoped to further improve the results. The semantic heuristics may later be implemented as part of a natural language tool in the generation of the ER models.
Original languageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationTokyo, Japan
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Print)978-1-4244-0219-9
DOIs
Publication statusPublished - Jun 2006
EventProc. of the IEEE International Conference on Computing and Informatics (ICOCI-2006) - Legend Hotel, Kuala Lumpur, Malaysia
Duration: 1 Jun 2006 → …

Conference

ConferenceProc. of the IEEE International Conference on Computing and Informatics (ICOCI-2006)
Period1/06/06 → …

Fingerprint Dive into the research topics of 'Semantic analysis in the automation of ER modelling through natural language processing'. Together they form a unique fingerprint.

  • Cite this

    Omar, N., Hanna, JRP., & McKevitt, P. (2006). Semantic analysis in the automation of ER modelling through natural language processing. In Unknown Host Publication (pp. 1-5). Tokyo, Japan: IEEE Computer Society. https://doi.org/10.1109/ICOCI.2006.5276559