 Building ontological relationships: A new approachAhmad Kayed, Nael Hirzallah, Luai A. Al Shalabi and Mohannad Najjar Journal of the American Society for Information Science and Technology, 2008, vol. 59, issue 11, 1801-1809 Abstract: Ontology plays an essential role in recognizing the meaning of the information in Web documents. It has been shown that extracting concepts is easier than building relationships among them. For a defined set of concepts, many existing algorithms produce all possible relationships for that set. This makes the process of refining the relationships almost impossible. A new algorithm is needed to reduce the number of relationships among a defined set of concepts produced by existing algorithms. This article contributes such an algorithm, which enables a domain‐knowledge expert to refine the relationships linking a set of concepts. In the research reported here, text‐mining tools have been used to extract concepts in the domain of e‐commerce laws. A new algorithm has been proposed to reduce the number of extracted relationships. It groups the concepts according to the number of relationships with other concepts and provides formalization. An experiment and software have been built, proving that reducing the number of relationships will reduce the efforts needed from a human expert. Date: 2008 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:59:y:2008:i:11:p:1801-1809 Ordering information: This journal article can be ordered from Access Statistics for this article More articles in Journal of the American Society for Information Science and Technology from Association for Information Science & Technology |
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