Axiomatizing relational network for knowledge engineering - Exploring WordNet and FrameNet

Ian C. Chow, Tak Ming Wong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The focus of this paper will be showing how linguistic information can be modeled in an ontological engineering environment for knowledge management and acquisition, and on this basis made accessible for hierarchical and axiomatic processing. The simplicity of Relational Network Notation models stratal linguistic information solely with reference to sets of interconnecting nodes. Axioms can be effortlessly declared upon the simplicity of the notation such that the knowledge base can be easily extended with the power of inference. Fruitful new knowledge can thus be acquired through axiomatic inference in terms of uncovering latent links between concepts and/or instances in the knowledge base. With this model, various linguistic resources, WordNet and FrameNet originally encoding different domains of linguistic knowledge, are now capable of interfacing with each other, retrieving and generating underlying linguistic information, serving as a more comprehensive NLP tool.

Original languageEnglish
Title of host publicationProceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
Pages262-267
Number of pages6
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Information Reuse and Integration, IRI-2006 - Waikoloa Village, HI, United States
Duration: 16 Sept 200618 Sept 2006

Publication series

NameProceedings of the 2006 IEEE International Conference on Information Reuse and Integration, IRI-2006

Conference

Conference2006 IEEE International Conference on Information Reuse and Integration, IRI-2006
Country/TerritoryUnited States
CityWaikoloa Village, HI
Period16/09/0618/09/06

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