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suggest the ways that make and renew the ontology, which are related with the keywords that users input in the search engine, automatically for the automatic generation of ontology that is not limited by specific domain. Input keyword and relation keywords become OWL, and the relation among the created OWL is expressed by
Various researchers have recognized that ontology based retrieval is one of the best in terms of precision and recall for semantic search engine. However, they did not specify explicitly any scheme/ algorithm for ontology based indexing and retrieval. This motivates us to conceive a proposal that includes (a) suggesting indexing algorithm to effectively maintain ontologies, (b) suggesting retrieving...
Current keyword based search engines are not able to search semantics in web pages. In this paper we present framework for semantic based web content mining system using semantic ontology and SPARQL. A major challenge in the work involves building ontology database from natural language web pages. Second challenge is
Semantic search is the most needed but still underdeveloped area in the world of web mining. All the trivial keyword based search engines present the result without considering the meaning of the keywords. Hence, the result set may vary and might also lack relevance with respect to a user. This paper is an attempt to
Huge amounts of education resources are distributed on the Internet. However, the students and teaching staff can't utilize network education resources effectively, because of the lack of convenient information retrieval tools. The reason is that traditional keyword based search engines just match the keywords
Nowadays people love travel to escape the grind of regular daily life, for the sake of convenience to web information sourced on internet with most search engines, the journey tours are easily found, but the feedbacks are compared with the keyword you entered, not truly responded to your intention, therefore, diverse
It has become common to search necessary services and contents using the Internet, but it is difficult to find exactly what one is looking for through keywords as each service is described in just too many ways. We developed "laddering" search service system that matches the needs of the users with the search targets
In this paper we discuss the fundamental problem of information retrieval on the Web. Information on the Web is not semantically categorized and stored. This research focuses on applying semantic capabilities using ontology on search engine. By using ontology, search engine can search keywords that are conceptually
keywords (descriptive terms), then we modify the ontology accordingly by adding the cluster's terms as semantic terms under the “SubSubSubconcept = lecture” to which these documents belong. This research is implemented and evaluated on a real platform HyperManyMedia at Western Kentucky University.
General purpose search engines provide users with lists of retrieved documents in response to their queries. The common structure of list elements includes the title of a document, its URL, and small snippet from the text. Snippets are evidence of occurrences of query's keywords in the document. The length of each
Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval
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