Tuan-Dung Cao

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We first describe a multi-agent system managing a corporate memory in the form of a corporate semantic web. We then focus on a newly introduced society of agents in charge of wrapping external HTML documents that are relevant to the activities of the organization, by extracting semantic Web annotations using tailored XSLT templates. Organizations are(More)
Currently, in the field of technology monitoring, it is very important to be able to get relevant information from heterogeneous sources, especially on the World Wide Web. The coming of Semantic Web technologies promises intelligent retrieval and access to information through the use of semantic annotations based on ontologies. In a scenario of technology(More)
In last decade, we witness a significant increase in performance of mobile devices. In parallel, the growth of online data and services available on the Web make it become more and more emerging as a gold mine for the tourist guide application. With the inherent mobility and the widely supported Internet connectivity, tourist guide applications on smart(More)
The growth of online data and services on the Web make it become more and more emerging as an indispensable tool of traveling for the tourist industry. It is not denied that various approaches bring benefits for visitors in supporting them of searching tourist attractions, such us interested places for the visit, eating or staying. However, like a coin has(More)
In this paper, a framework for mining unstructured documents in the form of Vietnamese text comments about locations is proposed. In the first step, the evaluation of users in the form of text comments will be extracted to produce a set of sentences in Vietnamese standard grammars by web analytic processing. Through the second step, using Skip-gram based(More)
The entity type is considered as very important in DBpedia. Since this information is inconsistently described in different languages, it is difficult to recognize the most suitable type of an entity. We propose a method to predict the entity type based on a novel conformity measure. We combine the consideration of the specific-level and the majority(More)