The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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
analysis and results ranking. For semantic annotation, we use domain ontology and two bilingual dictionaries to extract keywords for annotation. For query analysis, we present a method which combines lexical relationship and semantic relationship to analyse user's query. And for results ranking, we propose a modulative method
At present, there are vast amounts of information and applications available in distributed environment with heterogeneous databases, how to find them is a crucial task. An ontology-driven approach is put forward to overcome semantic heterogeneity caused by synonyms and homonyms during keyword-based search in
distributed inverted index by concept for documents. Based on them, semantic search is implemented with inference technique of Description Logic between concept descriptions of documents and query. Simulation experiments show that our approach is much higher on retrieval perform than traditional method of literal keywords
proposing a Scheme to search information semantically over unstructured P2P network, based on ontology. The ontology best described as a formal representation of a set of words within a domain and a relationship between those words rather keywords. The ontology uses Dewey Decimal Code to facilitate the classification taxonomy
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
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.