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The purpose of the following report is to introduce a model that makes it possible to efficiently search data by using keyword-based concept network for reliable access of information which is rapidly increasing in the mobile cloud. A keyword-based concept network is a method with the application of ontology. However
keyword search, meaning that the user needs to know the correct keywords before being able to retrieve the content of Quran. In this paper, we propose a system that supports the end user in querying and exploring the Quran ontology. The system comprises user query reformulation against the Quran ontology stored and annotated
Nowadays, with the appearance of more and more web services, it has been one of the key points that how to find the target service quickly and precisely. Traditional methods of web service discovery are only based on the keyword matching, but it's very difficult to realize more detailed and intelligent services, and
Most of the current framework for Web services is based on keyword matching. Web services which contain semantics multiplicity still cannot realize service discovery and bind automatically. To solve the lack of efficient discovery mechanism for Web service, a semantic Web technology based Web services discovery
This paper proposes a novel personalized news recommendation system named InfoSlim. The new system uses semantic technique to annotate news items and user preference in order to add rich metadata information into traditional keyword vector. By doing this, the similarity measure between item profile and user profile
The paper describes building systems for computational linguistics based on an approach to the image text comprehension. There had been suggested a set theoretical formalization for such type of systems using the fuzzy sense relationship. The possibilities of conceptual approach had been demonstrated on the solution examples of such tasks as searching for reference words, building lexical ontology...
to extract the principle moves of the instructor strategies and related keywords. A special virtual classroom was developed for simultaneous capturing of teacher dialogue moves and additional VCR tools, along with student responses to construct the model information.
present in most personalized service systems keywords models or user-item models are used to describe the users' preferences, but vectors or matrixes used in these models do not contain semantic information, so it is difficult to accurately model the users' interests and hobbies, and it is also hard to extend the users
based on statistical method, the expression of semantic relations between different keywords, the description of document semantic vectors and the similarity calculating, etc. Finally, the experimental results show that the retrieval ability of our new model has significant improvement both on recall and precision.
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