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Health related information is spread across different locations, making difficult gathering, structuring and managing all this data to make it available through search and navigation to health professionals, students, researchers or even general public. In this paper, we present a workflow to support enhanced search, comprising the development of an ontology for the domain, entity annotation, advanced...
This paper presents a semantic associative browsing system called Semantic Association Various Viewpoint sYstem (SAVVY). Recently, the number of users who employ search engines for not only retrieving Web pages but also understanding or learning an arbitrary concept has been increasing. It is difficult to understand and learn an arbitrary concept by using most of the current search engines, because...
Knowledge visualization and retrieval are the key techniques to implement effective knowledge management. Traditional research on knowledge map emphasizes on building global view of knowledge base, but ignores its support to knowledge retrieval. In this paper, a searchable knowledge map model is proposed. Based on this model, we extent the search-ability of knowledge map and propose three practical...
Web page recommendation model traces userspsila Web-surfing trails, extracts the useful information including keywords, Web page URLs and userspsila evaluations on Web pages, and automatically generates FCA (formal concept analysis) knowledge base and enterprise ontology knowledge base with WordNet. While users are surfing, the system reasons based on the above two knowledge bases, recommends those...
The semantic Web aims at enabling the Web to understand and answer the requests from people and machines. It relies on several standards for representing and reasoning about Web contents. Among them, the Web Ontology Language (OWL) is used to define ontologies, i.e. knowledge bases, and is formalized with description logics. In this paper, we demonstrate how dynamic taxonomies and their benefits can...
We present a system for browsing news that is based on semantic similarity of documents. News documents get automatically annotated semantically using information extraction. Annotations are displayed to a user who can easily retrieve crosslingual semantically related documents by selecting interesting items.
Along with stocks of traffic information grows rapidly, knowledge navigation is the future development trend for managing urban traffic information resource. Topic Maps (TM) are standardized by ISO 13250 for the purpose of semantic annotation of WWW resources. XML Topic Maps (XTM) is straightforwardly usable over the Internet and support a wide variety of applications. This paper presents the knowledge...
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