A probabilistic relational algebra for the integration of information retrieval and database systems
ACM Transactions on Information Systems (TOIS)
MonetDB/XQuery: a fast XQuery processor powered by a relational engine
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
CLEF-IP 2009: retrieval experiments in the intellectual property domain
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
ESAIR '10 Proceedings of the third workshop on Exploiting semantic annotations in information retrieval
Going beyond CLEF-IP: the 'reality' for patent searchers?
CLEF'12 Proceedings of the Third international conference on Information Access Evaluation: multilinguality, multimodality, and visual analytics
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Tasks performed by intellectual property specialists are often ad hoc, and continuously require new approaches to search a collection of documents. We therefore investigate the benefits of a visual 'search strategy builder' to allow IP search experts to express their approach to searching the patent collection, without requiring IR or database expertise. These search strategies are executed on our probabilistic relational database framework. Search by strategy design can be very effective. We refined our search strategies after our initial submission to the CLEF-IP track, and with minor effort we could include techniques shown to be beneficial for other CLEF-IP participants.