Constructing data graphs for keyword search

Konstantin Golenberg*, Yehoshua Sagiv

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Data graphs are convenient for supporting keyword search that takes into account available semantic structure and not just textual relevance. However, the problem of constructing data graphs that facilitate both efficiency and effectiveness of the underlying system has hardly been addressed. A conceptual model for this task is proposed. Principles for constructing good data graphs are explained. A transformation for generating data graphs from XML is developed.

Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 27th International Conference, DEXA 2016, Proceedings
EditorsSven Hartmann, Hui Ma
PublisherSpringer Verlag
Pages399-409
Number of pages11
ISBN (Print)9783319444055
DOIs
StatePublished - 2016
Event27th International Conference on Database and Expert Systems Applications, DEXA 2016 - Porto, Portugal
Duration: 5 Sep 20168 Sep 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9828 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th International Conference on Database and Expert Systems Applications, DEXA 2016
Country/TerritoryPortugal
CityPorto
Period5/09/168/09/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

  • Data-graph construction
  • Keyword search
  • XML

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