A PATENT RETRIEVAL METHOD USING SEMANTIC ANNOTATIONS

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 401
  • Download : 362
Automatic annotation of key phrases for their semantic categories can help improving effectiveness of a variety of text-based systems including information retrieval, summarization, question answering, etc. In this paper, we exploit semantic annotations for patent retrieval (i.e., patent invalidity search). We first annotated key phrases for two semantic categories, PROBLEM (e.g. “pattern matching”) and SOLUTION (e.g. “dynamic programming”) in a patent document, which constitute a particular technology. Semantic clusters are formed by grouping patent documents with the same PROBLEM or SOLUTION tag. A language modelling approach to information retrieval is extended to consider the semantically oriented clusters as well as document models. Our retrieval evaluation of the proposed approach using a collection of United States patent documents shows a 22% improvement over the baseline, a smoothed language modelling approach without using the semantic annotations.
Publisher
KDIR
Issue Date
2009-10
Keywords

patent retrieval; semantic annotation; invalidity search; cluster-based retrieval

Citation

International Conference on Knowledge Discovery and Information Retrieval

URI
http://hdl.handle.net/10203/18530
Appears in Collection
CS-Conference Papers(학술회의논문)
Files in This Item
20090706_KDIR_Cam-ready.pdf(209.26 kB)Download

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0