Conceptual information retrieval of technical papers for digital libraries

We propose a novel information retrieval (IR) method using semantic information from technical papers. The proposed method is suitable for use in digital libraries (DL). Users of digital libraries need to retrieve information which meets their semantic requirements. An important problem is the reduction of retrieval errors caused by differences in requests among individual users. To solve this problem, we used some techniques of natural language processing, and dictionaries that describe the relations between words and concepts. We describe the details of the proposed method and show experimental results that reveal the effectiveness of the method. We focus on technical papers written in Japanese.