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Patent Search has attracted considerable attention recently for finding existing relevant patents and validating new patent application. Earlier try-and-see approach was used to find any relevant underlying patents. Recent development has involved partition methods to find relevant patents. However, that method mainly focuses on Effectiveness of the search but not the Efficiency. To address this problem, we propose a new user-friendly patent search method which focuses on both Effectiveness and Efficiency of the patent search method. Error correction, query expansion and query suggestion techniques are used to get the patent search effectively and to improve the efficiency of the patent search, The proposed system uses two tools called WordNet and POS Tagger. We have used PoS tagger and SynSets from WordNet for identifying the intention of the user for the given search keyword and to create relevant partitions based on the Synsets. Finally top-k answers are generated from those highly relevant partitions are grouped together and displayed to the user. Keywords: Patent search, error correction, query suggestion, query expansion, PoS tagger, WordNet .

WordNet Sense Disambiguation Based Patent Search