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Next-generation patients are far from being peripheral to health-care. They are central to understanding the effectiveness and efficiency of services and how they can be improved. Today a lot of patients are used to reviewing local health services on-line but this social information is just stored in natural language text and it is not machine-accessible and machine-processable. To distil knowledge...
The Holy Quran exhibits the powerful rhetorical techniques of classical Arabic; one of these techniques is the use of semantic opposition. Semantic opposition as a sub-field of structural linguistics, studies the relation between words based on a set of properties or features. In order to automatically identify semantic opposition terms in the Holy Quran, Semantic Web techniques (i.e. ontologies)...
Annual reports of Chinese securities companies have become the most significant and reliable source of information for domestic and foreign investors. Semantic annotation of them enhanced information retrieval and improved interoperability. In this paper we first review the major features of annual reports which are tagged PDF format, then propose a novel ontology-based NLP approach to semantic annotate...
With the development of Semantic the Web technology, the NLP technology has much broader prospects. This article analyses the fusion degrees between the two technologies based on the survey of relations of them. We explain the relationship between Semantic Web and NLP in two aspects. One is NLP how to support Semantic Web development in Ontology Learning, Ontology Query and Multilingual Ontology Mapping...
Ontology (RDF/OWL) plays a foundational role of semantic Web for knowledge representation. But nowadays there are few Chinese ontology bases available, which hinders the research and development of Chinese Semantic Web applications. This paper introduces an ontology knowledge discovery tool, named OntoLTCn, which supports semi-auto domain ontology acquisition from Chinese corpus. In brief, OntoLTCn...
This paper discusses a approach of Chinese text classification on semantic Web. It is given one classified technology based on the semantic concept established on the "How-net" . It extracts keywords from text, analyses the full text using the keywords concept, and then the integrates to classify by categories of keywords semantic concept. It has been tested that this approach has good effect.
The following topics are dealt with: artificial intelligence; expert systems; human-computer interaction; security and access control; digital libraries; information visualization; P2P; peer to peer data management; information retrieval; information management; mobile, ad hoc and sensor network security; semantic Web; ontology; e-learning; ecommerce; e-business; e-government; Web mining; Web intelligence;...
Managing multiple ontologies is now a core question in most of the applications that require semantic interoperability. The semantic Web is surely the most significant application of this report: the current challenge is not to design, develop and deploy domain ontologies but to define semantic correspondences among multiple ontologies covering overlapping domains. In this paper, we introduce a new...
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