%0 Journal Article %1 amagasa07proximity %A Amagasa, Toshiyuki %A Wen, Lianzi %A Kitagawa, Hiroyuki %D 2007 %J Database and Expert Systems Applications %K research.kr.ontology research.xml research.clustering.similarity %P 298--307 %T Proximity Search of XML Data Using Ontology and XPath Edit Similarity %U http://dx.doi.org/10.1007/978-3-540-74469-6_30 %X XML data is explosively increasing, and a large amount of XML data, in which similar contents are described using differenttag names and structures, have been emerging as a consequence. In such a situation, one cannot write a query against suchXML data unless he/she knows the structure of the data. In this research, we propose a scheme to cope with this problem. Specifically,we expand XPath queries by replacing tag names with similar ones with the help of ontologies. In addition, we try to realize(structural) proximity matching of path expressions using edit similarity, which is a similarity measure based on edit distance.We also discuss application of SSJoin, which is an operator to support similarity joins in relational database systems, forspeeding up the proposed scheme. We finally show the effectiveness of the proposed method by a series of experimentations.

@article{amagasa07proximity, abstract = {XML data is explosively increasing, and a large amount of XML data, in which similar contents are described using differenttag names and structures, have been emerging as a consequence. In such a situation, one cannot write a query against suchXML data unless he/she knows the structure of the data. In this research, we propose a scheme to cope with this problem. Specifically,we expand XPath queries by replacing tag names with similar ones with the help of ontologies. In addition, we try to realize(structural) proximity matching of path expressions using edit similarity, which is a similarity measure based on edit distance.We also discuss application of SSJoin, which is an operator to support similarity joins in relational database systems, forspeeding up the proposed scheme. We finally show the effectiveness of the proposed method by a series of experimentations.}, added-at = {2010-10-07T11:04:44.000+0200}, author = {Amagasa, Toshiyuki and Wen, Lianzi and Kitagawa, Hiroyuki}, biburl = {https://www.bibsonomy.org/bibtex/2d3fa8472756dc4f3dac8ea0445452270/msn}, description = {SpringerLink - Book Chapter}, interhash = {2ab0beeb343d557eaa2d820536a46998}, intrahash = {d3fa8472756dc4f3dac8ea0445452270}, journal = {Database and Expert Systems Applications}, keywords = {research.kr.ontology research.xml research.clustering.similarity}, pages = {298--307}, timestamp = {2010-10-07T11:04:44.000+0200}, title = {Proximity Search of XML Data Using Ontology and XPath Edit Similarity}, url = {http://dx.doi.org/10.1007/978-3-540-74469-6_30}, year = 2007 }