基于实体类型的语义搜索:语义框架

Amit Kumar, Govind, M. Spaniol
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引用次数: 3

摘要

捕获和利用内容的语义是Web搜索成功的关键因素。为此,至关重要的是——理想情况下是自动地——提取正在处理的数据的核心语义,并将该信息与一些形式化表示(如本体)联系起来。通过将两者交织在一起,搜索变得语义化,同时允许最终用户通过底层本体对数据进行结构化访问。将两者连接起来,我们引入SEMANNOREX框架,以提供对来自网站和维基新闻的新闻语料库的语义丰富的访问。
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Semantic Search via Entity-Types: The SEMANNOREX Framework
Capturing and exploiting a content’s semantic is a key success factor for Web search. To this end, it is crucial to - ideally automatically - extract the core semantics of the data being processed and link this information with some formal representation, such as an ontology. By intertwining both, search becomes semantic by simultaneously allowing end-users a structured access to the data via the underlying ontology. Connecting both, we introduce the SEMANNOREX framework in order to provide semantically enriched access to a news corpus from Websites and Wikinews.
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