Reasoning and identifying relevant matches for XML keyword search

@article{Liu2008ReasoningAI,
  title={Reasoning and identifying relevant matches for XML keyword search},
  author={Ziyang Liu and Yi Chen},
  journal={PVLDB},
  year={2008},
  volume={1},
  pages={921-932}
}
Keyword search is a user-friendly mechanism for retrieving XML data in web and scientific applications. An intuitively compelling but vaguely defined goal is to identify matches to query keywords that are relevant to the user. However, it is hard to directly evaluate the relevance of query results due to the inherent ambiguity of search semantics. In this work, we investigate an axiomatic framework that includes two intuitive and non-trivial properties that an XML keyword search technique… CONTINUE READING
Highly Influential
This paper has highly influenced 31 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 191 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 114 extracted citations

192 Citations

02040'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 192 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…