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Ontology construction can allow users or agents of software to arrive at consistent views about organization structure of information, even improve the reusability in the professional fields. However, because of the differences between domains, there is no existing technical route as the standard method for ontology construction at the present time. This paper offers an improved ontology construction...
Nowadays, the sharing of e-education resources has become a big concern, as it helps to save manpower, physical resources, time and space. In this paper, a novel method is proposed for semantically indexing the huge amount of resources that are integrated together by an e-education resources sharing platform. The platform system architecture is illustrated, and an ontology is created to provide a...
Web information scattered among the Web pages, and each store in its own structure and form. It is very difficult to meet the people's information searching needs rely on traditional search engine. A method of WEB content discovery based on Ontology-similarity is proposed in this paper to help people access information more effectively. In this way the author defines an application domain ontology...
The goal of this research was the design and implementation of storage management for Web service data. Web service data storage management uses a data management model that thrives in capturing the meaning of the data more than other traditional database management. Due to this higher-level data storage model enables the users to see a conceptual view of the database. This paper presents an overview...
The goal of this research was the design and implementation of the inverted indexing used into the semantic Web service discovery search model (SWSDSM) in order to find the target services in a quick, accurate and efficient way. Recent research has demonstrated the potential benefits of the inverted indexing. The inverted indexing greatly accelerates the filtering of irrelevant atomic services. The...
In Automatic Question Answering System, topic identification is usually based on relevancy computation of sentences. This paper introduces an approach to compute topic relevancy. Using the semantic computation in HowNet, the relevancy of sentences can be calculated. The topic relevancy of sentences can be calculated through the computation of relevancy between words of sentence and subject words....
Extension of ontology instance is the important part of ontology maintenance. In this paper, a novel and effective method is proposed to extending ontology instances from Chinese free text, which is achieved with classification using support vector machine (SVM). Firstly, classification features are extracted in terms of syntax and semantics from the training texts and the new texts based on the existed...
Recently, how to utilize information that is stored in hundreds of millions of databases effectively, especially on the Web, has received increasing attention. It relates to many fields such as data mining, search engine and massive data processing. In order to improve methods which are limited in finding the relationship between conceptions of terms from different information sources manually, this...
The knowledge representing method, question semantic analysis and answer extraction algorithm are very important parts of QA (question answering system). This paper puts forward a framework which can well serve not only the simple question, but also the complex conditional question; can construct and apply ontology to drive Chinese restricted domain QA; and can conveniently extract answer by QSR (question...
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