|Title||Logic Programming Infrastructure for Inferences on FrameNet|
|Publication Type||Book Chapter|
|Year of Publication||2004|
|Authors||Baumgartner, P, Burchardt, A|
|Book Title||Logics in Artificial Intelligence|
|Series Title||Lecture Notes in Computer Science|
The growing size of electronically available text corpora like companiesrsquo intranets or the WWW has made information access a hot topic within Computational Linguistics. Despite the success of statistical or keyword based methods, deeper Knowledge Representation (KR) techniques along with ldquoinferencerdquo are often mentioned as mandatory, e.g. within the Semantic Web context, to enable e.g. better query answering based on ldquosemanticalrdquo information. In this paper we try to contribute to the open question how to operationalize semantic information on a larger scale. As a basis we take the frame structures of the Berkeley FrameNet II project, which is a structured dictionary to explain the meaning of words from a lexicographic perspective. Our main contribution is a transformation of the FrameNet II frames into the answer set programming paradigm of logic programming. Because a number of different reasoning tasks are subsumed under ldquoinferencerdquo in the context of natural language processing, we emphasize the flexibility of our transformation. Together with methods for automatic annotation of text documents with frame semantics which are currently developed at various sites, we arrive at an infrastructure that supports experimentation with semantic information access as is currently demanded for.