YASK: A why-not question answering engine for spatial keyword query services

Lei Chen, Jianliang XU, Christian S. Jensen, Yafei Li

Research output: Contribution to journalConference articlepeer-review

10 Citations (Scopus)

Abstract

With the proliferation of the mobile use of the web, spatial keyword query (SKQ) services are gaining in importance. However, state-of-the-art SKQ systems do not provide systematic functionality that allows users to ask why some known object is unexpectedly missing from a query result and do not provide an explanation for such missing objects. In this demonstration, we present a system called YASK, a whY-not question Answering engine for Spatial Keyword query services, that is capable of answering whynot questions posed in response to answers to spatial keyword topk queries. Two explanation and query refinement models, namely preference adjustment and keyword adaption, are implemented in YASK. The system provides users not only with the reasons why desired objects are missing from query results, but provides also relevant refined queries that revive the expected but missing objects. This demonstration gives attendees hands-on experience with YASK through a map-based GUI interface in which attendees can issue spatial keyword queries, pose why-not questions, and visualize the results.

Original languageEnglish
Pages (from-to)1501-1504
Number of pages4
JournalProceedings of the VLDB Endowment
Volume9
Issue number13
DOIs
Publication statusPublished - 2015
Event42nd International Conference on Very Large Data Bases, VLDB 2016 - New Delhi, India
Duration: 5 Sep 20169 Sep 2016

Scopus Subject Areas

  • Computer Science (miscellaneous)
  • Computer Science(all)

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