document: Logical structure based semantic relationship extraction from semi-structured documents Addressed in this paper is the issue of semantic relationship extraction from semi-structured documents . Many research efforts have been made so far on the semantic information extraction . However , much of the previous work focuses on detecting ` isolated ' semantic information by making use of linguistic analysis or linkage information in web pages and limited research has been done on extracting semantic relationship from the semi-structured documents . In this paper , we propose a method for semantic relationship extraction by using the logical information in the semi-structured document ( semi-structured document usually has various types of structure information , e.g. a semi-structured document may be hierarchical laid out ) . To the best of our knowledge , extracting semantic relationships by using logical information has not been investigated previously . A probabilistic approach has been proposed in the paper . Features used in the probabilistic model have been defined .
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