Suggestion of referntial information for writing documents on the web

In this thesis, we propose a system for assisting users to write a document by using referential information acquired from the web. The system automatically collects from the web information that is closely related to the topics of the sentences that the user writes. Recently, we often collect information related to topics of sentences we wrote from web. For instance, when we describe an object (places we visited, goods we bought, events we joined) we experienced on that day on weblogs, we examine a formal name of the object, refer to an opinion of other bloggers on that object, or investigate an access to the object, the date of the object (event), specification of the objects, or other various attributes of the object, in order to improve the quality of our documents. When such information needs occur, we should stop writing to collect the referential information from the web by ourselves. In this thesis, we attempt to find users’ information needs using lexicosyntactic patterns[1], and to show an appropriate knowledge for that information needs. When we show users the knowledge acquired from the web, we use AJAX to show them as seamless possible as in order not to avoid users’ writing. In this thesis, we focus on the proper nouns (such as ”Germany” and ”Titanic”). And we show them by using early research by Yoshinaga and