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Automatic question answering system is a hot issue in the field of natural language processing, and is playing an increasingly important role in the long-distance teaching through networks. This paper proposes an ontology-based automatic question answering system model, at first, build restricted area ontology, then take advantage of the accurate description of concept as well as the definition of...
Distributed repositories, containing digital documents are usually maintained and managed independently according to organization/users own requirements. Same information (i.e. documents containing same information) in different repositories, may be represented differently, makes it hard to retrieve desired information. Keyword based information retrieval technique helps in improving recall of user...
Digital media in general and the Internet in particular play a ever growing role in the storage, dissemination and retrieval of information and knowledge. Semantic annotation of the provided information is necessary to support the user in retrieving and filtering requested information. Wide-spread tools like Google have shown both the power and the limitations of statistical methods based on correlations...
We present a system for browsing news that is based on semantic similarity of documents. News documents get automatically annotated semantically using information extraction. Annotations are displayed to a user who can easily retrieve crosslingual semantically related documents by selecting interesting items.
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.