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Qualitative geographic information retrieval (QGIR) is proposed in this paper. It is semantic matching oriented and based on the qualitative representation. Qualitative reasoning is used to get the relevance between documents and queries. Compared to the traditional geographic information retrieval (GIR), QGIR uses qualitative representation for both themes and place names. Semantic spatial relationships...
The purpose of ontology matching is to reuse the ontologies and integrate them in different fields, so as to implement the more bigger pool of information and knowledge to the new communication and application. The achievements of (semi-)automatic ontology matching are very limited. There are many works to do in about this field. Under the background, an ontology matching approach, SGOM, is put forward...
Ontology matching is the key process of semantic interaction and knowledge sharing. It is the basement of the other semantic web application, such as, semantic web-based service, ontology alignment. The purpose of ontology matching is to reuse the ontologies and integrate them in different fields, so as to implement the bigger pool of information and knowledge for the new communication and application...
Ontology matching is critical to semantic interaction and knowledge sharing. The purpose of ontology matching is to reuse the ontologies and integrate them in different fields. It is the basement of the other semantic Web application, such as, semantic Web-based service, ontology alignment. Nowadays most ontology mapping approaches integrate multiple individual matchers to explore both linguistic...
In e-learning, to provide personalized service according to learner's characteristics is becoming a hot area which is concerned by many researchers. Learner model and reasoning algorithm are two important factors of impacting the system's effects. In this paper, we analyzed learner's characteristics, proposed an ontology-based learner model and its representation method, described the mechanism of...
Automatic verification of "isa" relations is a basic problem in knowledge acquisition from text. We present an iterative method of "isa" relation verification based on some features. It initially acquires a set of "isa" relation features. Secondly these features are changed into a set of production rules. Then the candidate "isa" relations acquired from Chinese...
To construct an accurate and comprehensive user model is required in e-learning. User model can describe explicitly the learning goals and information needs about an individual learner. In this paper, we analyze learner characters and propose an ontology-based user model, which involves five modules. After that, we separately introduce the representation methods and run mechanisms of the five modules...
This paper has proposed a method which implements the web service dynamic composition based on an annotated ontology. The capability parameters of the registered web services are used to annotate the domain ontology, when a request comes, only the related web service according to the annotated ontology will be matched or be composed. With the method, the efficiency can be improved significantly when...
Web services have become the prominent standards for distributed application. Extending from software component, web component is a new paradigm to support service-oriented software development and reuse in web environment. Web component aims at providing support to service-oriented development by enabling automatic discovery, composition, invocation and interoperation of services. Semantic support...
Many natural language processing tasks, such as text classification, text clustering, text summarization, and information retrieval etc., cannot miss the step-relevance measure of inter-sentence. However, many of the current NLP system always calculate not the inter-sentence relevance but their similarity. In fact, similarity means differently from relevance. The similarity measure can be acquired...
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