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As various individuals and organizations disseminate information on their Web pages, real-world social events and changes are considered to be reflected in Web trends. The billions of Web pages that now exist are retrieved by Web search engines which accept keywords and return a search engine results page (SERP
the spiritual person knows the soul or in the way of knowing it. The knowledge base of the proposed expert system will contain questions and their answers with reasoning. Inference engine will be a mechanism that will fetch keywords from working memory and match it with the questions stored in the knowledge base to
Sharing and collaboration, keywords in current way of using the Web, are strongly present in the e-learning field, but usually not in educational content creation. There is a need that students participate even in lectures design, either by commenting, editing them or sharing notes with each other. This paper
As the traditional way of information retrieval is based on keywords that the computer cannot understand users' potential semantic and personalized query requirements, the paper proposes an ontology-based method of the product information retrieval. Using the product information retrieval as an example, the framework
believe that retrieved XML fragments should be scored considering not only traditional retrieved-document-oriented statistics like the tfidf scoring but also query-oriented ones such as constituent rate of query keywords and statistics of the query results, so that it remains possible that such techniques will help the
On account of the weakness of the current search engine, we put forward the concept of semantic search. Integrated with the unstructured information management architecture (UIMA) of IBM, we can make search not only just base on the search of keywords, but through the comprehension of the unstructured information to
, flooding, and global warming. In particular, the Sticker navigates user-generated contents with three dimensional view of space-time(2D+1D) and allows users to retrieve related information with the moving phenomena in a spatiotemporal domain as well as interesting keywords.
Through the analysis of the information on the contents of the document which contained in title, abstract and keywords, find out which documents are more relativity with user's retrieval expectation, this paper adopted "document retrieval expected value" as be the indicator, builds the mathematical model for it, and
. World knowledge led to the refinement of the ability of the system to extract the relevant answers. It provided a solution to the outstanding problem related to the ambiguity enclosed by anaphora and synonym words. Meanwhile, hypernyms refer to a more general or broad keywords, which was able to widen the results of the
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