Abstract: Disclosed herein is a system structure for extracting relations between technical terms within a large amount of literature information using verb-based patterns. The present invention provides a system that is capable of extracting relations based on verb-based patterns from abstract and bibliography databases in all fields of science and technology using a Tech Association Mining Appliance (TAMA) capable of detecting the technical terms of text and relations therebetween in academic literature databases in the fields of science and technology. The present invention has an advantage of providing a practical relation extraction system structure using a number of academic databases.

Abstract: The present invention relates to a method and apparatus for extracting the semantic relations of context and a recording medium storing the program source thereof. The present invention is intended to detect technical terms by parsing full text of documents and recommend research topics using the relations therebetween using a method of searching for a first concept connected to a specific vocabulary word through a casual relationship and a second concept connected to the first concept through a causal relationship, determining the relation therebetween and performing recommendation as research topics. The present invention has the industrial utilization advantage of improving the overall search efficiency and utility of massive databases.