TY - JOUR
T1 - YASK: a why-not question answering engine for spatial keyword query services
AU - Chen, Lei
AU - XU, Jianliang
AU - Jensen, Christian S.
AU - Li, Yafei
N1 - Publisher Copyright:
© 2016 VLDB.
PY - 2016/9
Y1 - 2016/9
N2 - 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.
AB - 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.
UR - http://vldb.org/pvldb/vol9-volume-info/
UR - http://www.scopus.com/inward/record.url?scp=85020384206&partnerID=8YFLogxK
U2 - 10.14778/3007263.3007294
DO - 10.14778/3007263.3007294
M3 - Conference article
AN - SCOPUS:85020384206
SN - 2150-8097
VL - 9
SP - 1501
EP - 1504
JO - Proceedings of the VLDB Endowment
JF - Proceedings of the VLDB Endowment
IS - 13
T2 - 42nd International Conference on Very Large Data Bases, VLDB 2016
Y2 - 5 September 2016 through 9 September 2016
ER -