非表示:
キーワード:
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要旨:
The Web and, in particular, knowledge-sharing communities such as Wikipedia
contain a huge amount of information encompassing disparate and diverse fields.
Knowledge bases such as DBpedia or Yago represent the data in a concise and
more structured way bearing the potential of bringing database tools to Web
Search. The wealth of data, however, poses the challenge of how to retrieve
important and valuable information, which is often intertwined with trivial and
less important details. This calls for an efficient and automatic summarization
method.
In this demonstration proposal, we consider the novel problem of summarizing
the information related to a given entity, like a person or an organization. To
this end, we utilize the rich type graph that knowledge bases provide for each
entity, and define the problem of selecting the best cost-restricted subset of
types as summary with good coverage of salient properties.
We propose a demonstration of our system which allows the user to specify the
entity to summarize, an upper bound on the cost of the resulting summary, as
well as to browse the knowledge base in a more simple and intuitive manner.
