Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
Querying non-conventional data is recognized as a major issue in new environments and applications such as those occurring in pervasive computing. A key issue is the ability to qu...
In this paper, we present an extension of PHIL, a declarative language for filtering information from XML data. The proposed approach allows us to extract relevant data as well a...
User-defined preferences allow personalized ranking of query results. A user provides a declarative specification of his/her preferences, and the system is expected to use that ...
In this paper, we present an approach which, given a knowledge base and an appropriate text corpus, automatically induces patterns which can be used to query the knowledge base. W...