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Semantic path ranking scheme for relational keyword queries
conference contribution
posted on 2023-05-23, 09:03 authored by Zeng, Z, Bao, Z, Dobbie, G, Lee, ML, Ling, TWExisting works on keyword search over relational databases typically do not consider users' search intention for a query and return many answers which often overwhelm users. We observe that a database is in fact a repository of real world objects that interact with each other via relationships. In this work, we identify four types of semantic paths between objects and design an algorithm called pathRank to compute and rank the results of keyword queries. The answers are grouped by the types of semantic paths which reflect diff erent query interpretations, and are annotated to facilitate user understanding.
History
Publication title
Database and Expert Systems ApplicationsVolume
LNCS 8645 (part 2)Editors
H Decker, L Lhotska, S Link, S Spies, RR WagnerPagination
97-105ISBN
9783319100845Department/School
School of Information and Communication TechnologyPublisher
SpringerPlace of publication
Heidelberg, GermanyEvent title
25th International Conference on Database and Expert Systems (DEXA 2014)Event Venue
Munich, GermanyDate of Event (Start Date)
2014-09-01Date of Event (End Date)
2014-09-04Rights statement
Copyright 2014 SpringerRepository Status
- Restricted