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XML storage and retrieval using the ...

Yang, Li.

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XML storage and retrieval using the semantic binary object-oriented database system (SEM-ODB).

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	XML storage and retrieval using the semantic binary object-oriented database system (SEM-ODB)./
作者:	Yang, Li.
面頁冊數:	181 p.
附註:	Major Professor: Naphtali Rishe.
Contained By:	Dissertation Abstracts International64-03B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3085825

XML storage and retrieval using the semantic binary object-oriented database system (SEM-ODB).
Yang, Li.

XML storage and retrieval using the semantic binary object-oriented database system (SEM-ODB). - 181 p.

Major Professor: Naphtali Rishe.

Thesis (Ph.D.)--Florida International University, 2003.

Over the past five years, XML has been embraced by both the research and industrial community due to its promising prospects as a new data representation and exchange format on the Internet. The widespread popularity of XML creates an increasing need to store XML data in persistent storage systems and to enable sophisticated XML queries over the data. The currently available approaches to addressing the XML storage and retrieval issue have the limitations of either being not mature enough (e.g. native approaches) or causing inflexibility, a lot of fragmentation and excessive join operations (e.g. non-native approaches such as the relational database approach).Subjects--Topical Terms:

626642
Computer Science.

XML storage and retrieval using the semantic binary object-oriented database system (SEM-ODB).
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245 1 0 $a XML storage and retrieval using the semantic binary object-oriented database system (SEM-ODB).
300 $a 181 p.
500 $a Major Professor: Naphtali Rishe.
500 $a Source: Dissertation Abstracts International, Volume: 64-03, Section: B, page: 1345.
502 $a Thesis (Ph.D.)--Florida International University, 2003.
520 $a Over the past five years, XML has been embraced by both the research and industrial community due to its promising prospects as a new data representation and exchange format on the Internet. The widespread popularity of XML creates an increasing need to store XML data in persistent storage systems and to enable sophisticated XML queries over the data. The currently available approaches to addressing the XML storage and retrieval issue have the limitations of either being not mature enough (e.g. native approaches) or causing inflexibility, a lot of fragmentation and excessive join operations (e.g. non-native approaches such as the relational database approach).
520 $a In this dissertation, I studied the issue of storing and retrieving XML data using the Semantic Binary Object-Oriented Database System (Sem-ODB) to leverage the advanced Sem-ODB technology with the emerging XML data model. First, a meta-schema based approach was implemented to address the data model mismatch issue that is inherent in the non-native approaches. The meta-schema based approach captures the meta-data of both Document Type Definitions (DTDs) and Sem-ODB Semantic Schemas, thus enables a dynamic and flexible mapping scheme. Second, a formal framework was presented to ensure precise and concise mappings. In this framework, both schemas and the conversions between them are formally defined and described. Third, after major features of an XML query language, XQuery, were analyzed, a high-level XQuery to Semantic SQL (Sem-SQL) query translation scheme was described. This translation scheme takes advantage of the navigation-oriented query paradigm of the Sem-SQL, thus avoids the excessive join problem of relational approaches. Finally, the modeling capability of the Semantic Binary Object-Oriented Data Model (Sem-ODM) was explored from the perspective of conceptually modeling an XML Schema using a Semantic Schema.
520 $a It was revealed that the advanced features of the Sem-ODB, such as multi-valued attributes, surrogates, the navigation-oriented query paradigm, among others, are indeed beneficial in coping with the XML storage and retrieval issue using a non-XML approach. Furthermore, extensions to the Sem-ODB to make it work more effectively with XML data were also proposed.
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