Semantic query reformulation: the NIF experience

Authors:
Amarnath Gupta;Anita Bandrowski;Christopher Condit;Xufei Qian;Jeffrey S. Grethe;Maryann E. Martone
Affiliations:
SDSC, Univ. of California San Diego, La Jolla;CRBS, Univ. of California San Diego, La Jolla;SDSC, Univ. of California San Diego, La Jolla;SDSC, Univ. of California San Diego, La Jolla;CRBS, Univ. of California San Diego, La Jolla;CRBS, Univ. of California San Diego, La Jolla
Venue:
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
Year:
2013

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Abstract

The NIF system is a semantic search engine that uses an ontology to improve search quality. In this experience paper we present SKEYQL, our semantic keyword query language and describe a number of ontology-based query reformulation strategies that go beyond standard query expansion techniques. We also present a set of lessons learnt and strategies that did not work. We reaffirm the importance of pre-annotating data to ensure quality query results.