Applying Ontological Framework for Finding Links into the Future from Web

作者: Muhammad Tanvir Afzal

DOI:

关键词: Feature (machine learning)Specific-informationSystems architectureContext (language use)Search engineRepresentation (arts)World Wide WebOntologyComputer scienceWork (electrical)

摘要: The tremendous growth in the size of Web has created a challenge to find context- specific information. After finding content on Web, users need explicitly query search engines for related In many cases, millions generic hits are returned by general which do not accomplish users' intent. To cope with this scenario, same author already implemented feature called 'Links into Future' within digital journal. When user is viewing research paper, Links Future provides most relevant papers that have been made available after publication date focused paper. instead pushed local context. also proposed an ontological representation concept. However, current work describes complete system architecture and shows how framework applied extend notion from documents. This instantiated individual ontology plays its role

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