الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Semantic web is one the important research fields that came into light recently . the major concern of semantic web is to convert the world wide web from just a huge repository of unrelated text ,into useful linked pieces of information. Linking the information is not only based on text similarity , but mainly on the meanings and real-world relations between items. In this research we use the techniques and the structures of the semantic web , to create formal definition rules for some kind of unstructured data , and to be able to query this data for information that might be not explicitly stated , and that would otherwise be very difficult to extract . for this purpose , we develop an integrated system that can extract data from both unstructured and structured documents , and then answer user’s queries using the extracted data together with some inference rule that help to deduce more information from this data . As an example of this data , we take the social relationships found in death-ads in newspapers . These ads both implicit information about various relationships among people . these relationships, if arranged and organized in a proper way , can be used to extract and infer other hidden , not explicitly mentioned relationships that are otherwise difficult to extract