The combination of different search techniques can improve the results given by each one. In the ongoing R&D project PATExpert1, four different search techniques are combined to perform a patent search. These techniques are: metadata search, keyword-based search, semantic search and image search. In this paper we propose a general architecture based on web services where each tool works in its own domain and provides a set of basic functionalities to perform the retrieval. To be able to combine the results from the four search engines, these must be fuzzy (using a membership function or similarity grade). We focus on how the fuzzy results can be obtained from each technique, and how they can then be combined. This combination must take into account the query, the similarity of the patent to each part of the query, and the confidence on the technique.
Integration of Semantic, Metadata and Image Search Engines with a Text Search Engine for Patent Retrieval
Pianta, Emanuele;
2008-01-01
Abstract
The combination of different search techniques can improve the results given by each one. In the ongoing R&D project PATExpert1, four different search techniques are combined to perform a patent search. These techniques are: metadata search, keyword-based search, semantic search and image search. In this paper we propose a general architecture based on web services where each tool works in its own domain and provides a set of basic functionalities to perform the retrieval. To be able to combine the results from the four search engines, these must be fuzzy (using a membership function or similarity grade). We focus on how the fuzzy results can be obtained from each technique, and how they can then be combined. This combination must take into account the query, the similarity of the patent to each part of the query, and the confidence on the technique.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
