Title :
Schema extraction for multimedia XML document retrieval
Author :
Yoon, Jong P. ; Kim, Sungrim
Author_Institution :
Center for Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA
Abstract :
Multimedia XML data is a collection of multiple types of data sets tagged by XML elements. Such XML data can be retrieved not only by a Boolean connection with keywords but also by tag element-based query languages. In many cases, however, keyword-based queries result in either too many hits or too few results. It is not clear either what query to formulate in order to obtain a “good” size of query results. This paper proposes a method of schema extraction for multimedia XML data. Schemas are then leveled with respect to the frequency of topological document structures in a database. The topological structural information of these schemas is used to formulate queries and to rewrite queries for relaxation and restriction
Keywords :
hypermedia markup languages; multimedia databases; query formulation; query languages; topology; Boolean connection; keyword-based queries; multimedia XML document retrieval; query formulation; query relaxation; query restriction; query rewriting; schema extraction; schema levelling; schema topological structural information; tag element-based query languages; tagged data sets; topological document structure frequency; Data mining; Database languages; Frequency; Image databases; Image retrieval; Information retrieval; Internet; Keyboards; Multimedia databases; XML;
Conference_Titel :
Web Information Systems Engineering, 2000. Proceedings of the First International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-0577-5
DOI :
10.1109/WISE.2000.882867