Adding New Concepts on the Domain Ontology Based on Semantic Similarity

Content Provider	Semantic Scholar
Author	Chen, Rung-Ching Lee, Ya-Ching Pan, Ren-Hao
Copyright Year	2006
Abstract	In recent years, ontology application has become one of the most popular research topics on the Internet. Many researchers use domain ontology to facilitate knowledge sharing and reusing. However, the specification of the ontology is till incompletely now, due to have not a standard expression and creating method for the ontology. The information is changed fast on the Internet, so the knowledge on the ontology often can not really meet the user's requirement. Therefore, how to create a renewable ontology is necessary. In this paper, we will propose an ontology renewable method which can insert new keywords into a corresponding constructed ontology. The novel method uses LSA, Latent Semantic Analysis, to strengthen the semantic characteristic of keywords and transforms the LSA matrix to a high dimensional space based on collected web pages. The similar values between keywords and concepts are gotten by comparing the high dimension keyword to the corresponding constructed ontology concepts. If a keyword has highest similarity value between it and one of concepts on the domain and similarity value less than a threshold, the keyword will be inserted into the offspring of the concept on the domain ontology. The primary experiment results indicated the method is useful. Keyword:Semantic Web, Domain Ontology, LSA Matrix, CKIP Segmentation
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://ir.lib.cyut.edu.tw:8080/bitstream/310901800/6787/1/46.+Adding+New+Concepts+On+The+Domain+Ontology+Based+on+Semantic+Similarity.pdf
Alternate Webpage(s)	http://bai2006.atisr.org/CD/Papers/2006bai6169.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article