Question answering on linked data Research Paper

Question answering on linked data - Research Paper Example Two searches are available, Navigation Search and Research Search. In navigational search, the user accesses the search engine as a navigation instrument to navigate to a particular targeted document. Semantic Search is not used in navigational searches. In Research Searching, the user feeds the search engine with a phrase is proposed to symbolize an object about which the user attempts to gather information. Rather than PageRank algorithm in Google, Semantic Web Search uses semantics to create highly pertinent searching results. This Search method can be used to retrieve the information from the data resource like ontology. Ontology1 is a technology used to facilitate the field knowledge to improve the query time used in Semantic Question Answering system. Data linking systems apply some of the systems identified in order to interweave Web data described in RDF. The following analysis studies some systems performing both automated and semi-automated data linking. Aqua log is able to learn the users language in order to improve the knowledge by the time. The user’s learning method is good in a way that it uses ontology reasoning to study and learn more general patterns, which could then be use again for the questions with analogous context.2 In this system Linguistic Component (LC) is used to change the NL questions into Query-triple format and Relation Similarity Service (RSS). The data model is triple based like {Subject or Object} type. The presentation is based on accuracy, recall and also failure types are referred individually. Averages of about 64 % of consecutive answers are retrieved from ontology with closed environment. ORAKEL used for computing planned answers of user query. It processes based questions as rational query type and information is symbolized with F-Logic and onto broker form. This system is