Semplore: An IR Approach to Scalable Hybrid Query of Semantic Web Data
L. Zhang, Q. Liu, J. Zhang, H. Wang, Y. Pan, и Y. Yu. Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, том 4825 из LNCS, стр. 645--658. Berlin, Heidelberg, Springer Verlag, (ноября 2007)
Аннотация
As an extension to the current Web, Semantic Web will not only contain structured data with machine understandable semantics but also textual information. While structured queries can be used to find information more precisely on the Semantic Web, keyword searches are still needed to help exploit textual information. It thus becomes very important that we can combine precise structured queries with imprecise keyword searches to have a hybrid query capability. In addition, due to the huge volume of information on the Semantic Web, the hybrid query must be processed in a very scalable way. In this paper, we define such a hybrid query capability that combines unary tree-shaped structured queries with keyword searches. We show how existing information retrieval (IR) index structures and functions can be reused to index semantic web data and its textual information, and how the hybrid query is evaluated on the index structure using IR engines in an efficient and scalable manner. We implemented this IR approach in an engine called Semplore. Comprehensive experiments on its performance show that it is a promising approach. It leads us to believe that it may be possible to evolve current web search engines to query and search the Semantic Web. Finally, we breifly describe how Semplore is used for searching Wikipedia and an IBM customer's product information.
%0 Conference Paper
%1 Zhang/2007/Semplore:
%A Zhang, Lei
%A Liu, QiaoLing
%A Zhang, Jie
%A Wang, Haofen
%A Pan, Yue
%A Yu, Yong
%B Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea
%C Berlin, Heidelberg
%D 2007
%E Aberer, Karl
%E Choi, Key-Sun
%E Noy, Natasha
%E Allemang, Dean
%E Lee, Kyung-Il
%E Nixon, Lyndon J B
%E Golbeck, Jennifer
%E Mika, Peter
%E Maynard, Diana
%E Schreiber, Guus
%E Cudré-Mauroux, Philippe
%I Springer Verlag
%K 2007 application_software approach data_management datum hybrid ir iswc query research_13 scalable semantic semantic_web web
%P 645--658
%T Semplore: An IR Approach to Scalable Hybrid Query of Semantic Web Data
%U http://iswc2007.semanticweb.org/papers/645.pdf
%V 4825
%X As an extension to the current Web, Semantic Web will not only contain structured data with machine understandable semantics but also textual information. While structured queries can be used to find information more precisely on the Semantic Web, keyword searches are still needed to help exploit textual information. It thus becomes very important that we can combine precise structured queries with imprecise keyword searches to have a hybrid query capability. In addition, due to the huge volume of information on the Semantic Web, the hybrid query must be processed in a very scalable way. In this paper, we define such a hybrid query capability that combines unary tree-shaped structured queries with keyword searches. We show how existing information retrieval (IR) index structures and functions can be reused to index semantic web data and its textual information, and how the hybrid query is evaluated on the index structure using IR engines in an efficient and scalable manner. We implemented this IR approach in an engine called Semplore. Comprehensive experiments on its performance show that it is a promising approach. It leads us to believe that it may be possible to evolve current web search engines to query and search the Semantic Web. Finally, we breifly describe how Semplore is used for searching Wikipedia and an IBM customer's product information.
@inproceedings{Zhang/2007/Semplore:,
abstract = {As an extension to the current Web, Semantic Web will not only contain structured data with machine understandable semantics but also textual information. While structured queries can be used to find information more precisely on the Semantic Web, keyword searches are still needed to help exploit textual information. It thus becomes very important that we can combine precise structured queries with imprecise keyword searches to have a hybrid query capability. In addition, due to the huge volume of information on the Semantic Web, the hybrid query must be processed in a very scalable way. In this paper, we define such a hybrid query capability that combines unary tree-shaped structured queries with keyword searches. We show how existing information retrieval (IR) index structures and functions can be reused to index semantic web data and its textual information, and how the hybrid query is evaluated on the index structure using IR engines in an efficient and scalable manner. We implemented this IR approach in an engine called Semplore. Comprehensive experiments on its performance show that it is a promising approach. It leads us to believe that it may be possible to evolve current web search engines to query and search the Semantic Web. Finally, we breifly describe how Semplore is used for searching Wikipedia and an IBM customer's product information.},
added-at = {2007-11-07T19:13:58.000+0100},
address = {Berlin, Heidelberg},
author = {Zhang, Lei and Liu, QiaoLing and Zhang, Jie and Wang, Haofen and Pan, Yue and Yu, Yong},
biburl = {https://www.bibsonomy.org/bibtex/242031598526676c9798f1210d9cf74cb/iswc2007},
booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon J B and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Schreiber, Guus and Cudré-Mauroux, Philippe},
interhash = {67912d82df27b4e59b18bdbe05d4f316},
intrahash = {42031598526676c9798f1210d9cf74cb},
keywords = {2007 application_software approach data_management datum hybrid ir iswc query research_13 scalable semantic semantic_web web},
month = {November},
pages = {645--658},
publisher = {Springer Verlag},
series = {LNCS},
timestamp = {2007-11-07T19:20:50.000+0100},
title = {Semplore: An IR Approach to Scalable Hybrid Query of Semantic Web Data},
url = {http://iswc2007.semanticweb.org/papers/645.pdf},
volume = 4825,
year = 2007
}