Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) · 2005 · 19 citations · 9 references
Open access
ComputingComputer ScienceInformation SystemsInformation RetrievalKnowledge RepresentationWeb TechnologiesConcept ExtractionFormal OntologyInformation ExtractionKnowledge ExtractionOntology EngineeringWeb MiningConcept MiningDomain Knowledge AcquisitionDomain Knowledge ExtractionWeb Content ManagementWeb Content MiningWeb Information Extraction
The Web hosts vast, largely unstructured content, making digital library organization difficult, yet web mining has advanced in categorizing and extracting data, and ontology knowledge helps define structure for mining. This paper aims to review web mining and describe an ontology-based approach for organizing web content. The authors model ontology as concepts and interrelationships, review web mining techniques, and discuss applying these methods to digital library systems.
The World Wide Web today provides users access to extremely large number of Web sites many of which contain information of education and commercial values. Due to the unstructured and semi-structured nature of Web pages and the design idiosyncrasy of Web sites, it is a challenging task to develop digital libraries for organizing and managing digital content from the Web. Web mining research, in its last 10 years, has on the other hand made significant progress in categorizing and extracting content from the Web. In this paper, we represent ontology as a set of concepts and their inter-relationships relevant to some knowledge domain. The knowledge provided by ontology is extremely useful in defining the structure and scope for mining Web content. We will therefore review Web mining and describe the ontology approach to Web mining. The application of these Web mining techniques to digital library systems will also be discussed.
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