@inproceedings{3b9e5a13bc7140bf91e820f6df41830d,
title = "Ranking friendly result composition for XML keyword search",
abstract = "This paper addresses an open problem of keyword search in XML trees: given relevant matches to keywords, how to compose query results properly so that they can be effectively ranked and easily understood by users. The approaches adopted in the literature are oblivious to user search intention, making ranking schemes ineffective on such results. Intuitively, each query has a search target and each result should contain exactly one instance of the search target along with its evidence about its relevance to the query. In this paper, we design algorithms that compose atomic and intact query results driven by users{\textquoteright} search targets. To infer search targets, we analyze return specifications in the query, the modifying relationship among keyword matches and the entities involved in the search. Experimental evaluationsvalidate the effectiveness and efficiency of our approach.",
keywords = "Search, Search intent, XML Tree",
author = "Ziyang Liu and Yichuang Cai and Yi Shan and Yi Chen",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 34th International Conference on Conceptual Modeling, ER 2015 ; Conference date: 19-10-2015 Through 22-10-2015",
year = "2015",
doi = "10.1007/978-3-319-25264-3_33",
language = "English (US)",
isbn = "9783319252636",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "441--449",
editor = "L{\'o}pez, {{\'O}scar Pastor} and Lee, {Mong Li} and Liddle, {Stephen W.} and Paul Johannesson and Opdahl, {Andreas L.}",
booktitle = "Conceptual Modeling - 34th International Conference, ER 2015",
address = "Germany",
}