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needed to search and find relevant information. For tabular structures embedded in HTML documents, typical keyword or link-analysis based search fails. The next phase envisioned for the WWW is automatic ad-hoc interaction between intelligent agents, web services, databases and semantic web enabled applications. A large
machines interacting with other machines to yield results which are user oriented and precise. A New Integrated Case And Relation Based Page Rank Algorithm have been proposed to rank the results of a search system based on a user's topic or query. This paper proposes an optimized semantic searching of keywords represent by
In recent years, the application of ontology has been already toward the diversification under the development of the semantic Web technology. The main application of ontology is information retrieval. With the utilization of ontology, we expect to offer more correct information for users. Although, most of the applications of ontology are information retrieval but they lacks of the interaction with...
XML has become an important format for exchange data. Ranking of XML search results directly relates to XML information retrieval performance. Most of the existing ranking models consider words statistical characteristics in the XML document, but they do not consider position of the node a word belongs to. That is to say, all of nodes in XML document have the equal importance. However, different node...
they do well for keyword search strings such as "ocean'08 conference information", they are quite inadequate for searching against structured data such as "time- series ocean surface temperature or salinity levels in the Gulf of Mexico". Traditional search engines deploy various complex algorithms, take into account the
generate and calculate the associated relations and their strengths between documents within a domain. Each document is represented by a bag of words and their weights. We first build domain knowledge background based on the association rules at keyword level, and then we apply those association rules to generate and
With the increasing number of mobile devices, there have been many researches on searching and managing a large volume of mobile data. Most of the mobile platforms today provide users with keyword-based full text search (FTS) in order to search for mobile data. Recently, voice search interfaces have been deployed
networks is given and a two-dimensional storage structure of relational data table based on the semantic network knowledge with practical examples is discussed. At the same time, this paper designs the stored procedure based on SQL language description; moreover its key searching skill lies in keywords and the connections
keywords, which lack the semantic data. In this paper the semantic based information retrieval methodology is proposed to get data from the web archives in a specific domain by gathering the domain relevant information with web crawler. By utilizing ontology and semantic information matched with a given user's query is used
similar product images on shopping websites, ranking product tags by text aggregation, and re-search textual items consisting of semantic meaningful tags to make a recommendation. In addition, users can choose automatically suggested keywords to reflect their intentions. Subjective evaluation has demonstrated the
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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