108 Chen

نویسنده

  • Yangjun Chen
چکیده

With the rapid advance of the Internet, management of structured documents such as XML documents has become more and more important (Marchiori, 1998; Suciu & Vossen, 2000). As a simplified version of SGML, XML is recommended by W3C (World Wide Web Consortium, 1998a) as a document description metalanguage to exchange and manipulate data and documents on the WWW. It has been used to code various types of data in a wide range of application domains, including a Chemical Markup Language for exchanging data about molecules, the Open Financial Exchange for swapping financial data between banks and banks and customers, as well as a Geographical Markup Language for searching geographical information (Bosak, 1997; Zhang & Gruenwald, 2001). Also, a growing number of legacy systems are adapted to output data in the form of XML documents. In recent years, efforts have been made to find an effective way to generate XML structures that are able to describe XML semantics in underlying relational databases (Chen & Huck, 2001; Florescu & Kossmann, 1999; Shanmugasundaram et al., 1999, 2000; Yoshikawa, Amagasa, Shimura, & Uemura, 2001). However, due to the substantial difference between the nested element structures of XML and the flat relational data, much redundancy is introduced; i.e., the XML data is either flattened into tuples containing many redundant elements or has many disconnected elements. Therefore, it is significant to explore a way to accommodate XML documents which is different from the relational theory. In addition, a variety of XML query languages have been proposed to provide a clue to manipulate XML documents (Abiteboul, Quass, McHugh, Widom, & Wiener, 1996; Chamberlin et al., 2001; Christophides, Cluet, & Simeon, 2000; Deutsch, Fernandez, Florescu, Levy, & Suciu, 1988; Robie, Chamberlin, & Florescu, 2000; Robie, Lapp, & Schach, 1998). Although the languages differ according to expressiveness, underlying formalism, and data model, they share a common feature: pathoriented queries. Thus, finding efficient methods to do path matching is very important to evaluation of queries against huge volumes of XML documents. BACKGROUND

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تاریخ انتشار 2005