Generic and effective semi-structured keyword search

Authors:
Arash Termehchy;Marianne Winslett
Affiliations:
University of Illinois, Urbana IL;University of Illinois, Urbana IL
Venue:
Proceedings of the First International Workshop on Keyword Search on Structured Data
Year:
2009

Citing 5
Cited 0

XRANK: ranked keyword search over XML documents

Proceedings of the 2003 ACM SIGMOD international conference on Management of data
XSEarch: a semantic search engine for XML

VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Effective keyword search for valuable lcas over xml documents

Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Reasoning and identifying relevant matches for XML keyword search

Proceedings of the VLDB Endowment
Effective XML Keyword Search with Relevance Oriented Ranking

ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Current semi-structured keyword search and natural language query processing systems use ad hoc approaches to take advantage of structural information. Although intuitive, they are ultimately ad hoc. We have developed the concept of coherency ranking based on the statistical properties of data to rank the keyword search results. We demonstrate how the coherency ranking works for two real-world XML databases and show its advantages over the previously proposed XML keyword search methods.