Exploratory Patent Search with Faceted Search and Configurable Entity Mining
- 1. Institute of Computer Science, FORTH-ICS and Computer Science Department, University of Crete, Greece
- 2. Vienna University of Technology, Institute of Software Technology and Interactive Systems
Description
Searching for patents is usually a recall-oriented problem and depending
on the patent search type, quite often a problem which is characterized
by uncertainty and evolution or change of the information need.
We propose an exploratory strategy for patent search that exploits the
metadata already available in patents in addition to the results of clustering
and entity mining that are performed at query time. The results
(metadata, clusters and entities grouped in categories) can complement
the ranked list of patents produced from the core search engine with
useful information for the user (e.g. providing a concise overview of
the search results) which are further exploited in a faceted and session-based
interaction scheme that allows the users to focus their searches
gradually and to change between search methods as their information
need is better defined and their understanding of the topic evolves in
response to found information. In addition, we propose the exploitation
of Linked Data for specifying the entities of interest and for providing
further information about the identified entities. The proposed system
offers a dynamic, entity-based integration of patent documents, patents
metadata and other external (semantic) resources.
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fafalios_2013_explPatSearch.pdf
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