Beyond entities: promoting explorative search with bundles

Bordino, Ilaria; Lalmas, Mounia; Mejova, Yelena; Laere, Olivier Van

doi:10.1007/s10791-016-9283-5

Cited by 2 publications

(1 citation statement)

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“…The Web has grown so vast such that precise navigational and transactional queries are now served using named entities in knowledge graphs [16] or with the help of curated knowledge panels [32]. For instance, for the very specific query summer olympics rio 2016, commercial search engines are able to extract and display knowledge panels informing the user about medal tallies and other related information extracted from the Web.…”

Section: Introductionmentioning

confidence: 99%

Generating Semantic Aspects for Queries

Gupta

Berberich

Strötgen

et al. 2018

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries

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Ambiguous information needs expressed in a limited number of keywords often result in long-winded query sessions and many query reformulations. In this work, we tackle ambiguous queries by providing automatically generated semantic aspects that can guide users to satisfying results regarding their information needs. To generate semantic aspects, we use semantic annotations available in the documents and leverage models representing the semantic relationships between annotations of the same type. The aspects in turn provide us a foundation for representing text in a completely structured manner, thereby allowing for a semantically-motivated organization of search results. We evaluate our approach on a testbed of over 5,000 aspects on Web scale document collections amounting to more than 450 million documents, with temporal, geographic, and named entity annotations as example dimensions. Our experimental results show that our general approach is Web-scale ready and finds relevant aspects for highly ambiguous queries.

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Section: Introductionmentioning

confidence: 99%