Journal ArticleDOI
Lore: a database management system for semistructured data
Jason G. McHugh,Serge Abiteboul,Roy Goldman,Dallas Quass,Jennifer Widom +4 more
- Vol. 26, Iss: 3, pp 54-66
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TLDR
This paper provides an overview of these aspects of the Lore system, as well as other novel features such as dynamic structural summaries and seamless access to data from external sources.Abstract:
Lore (for Lightweight Object Repository) is a DBMS designed specifically for managing semistructured information. Implementing Lore has required rethinking all aspects of a DBMS, including storage management, indexing, query processing and optimization, and user interfaces. This paper provides an overview of these aspects of the Lore system, as well as other novel features such as dynamic structural summaries and seamless access to data from external sources.read more
Citations
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Journal ArticleDOI
Research on XML Query Optimization
TL;DR: An overview of the current status of technology for XML query optimization is given and main aspects of current work on XML query optimized include XML algebra, cost model, complex path selectivity estimation, statistics information, and so on.
Journal ArticleDOI
Schema-conscious XML indexing
TL;DR: SphinX is proposed, a new XML indexing scheme that utilizes the schema to significantly enhance the search process and implements a persistent index structure that seamlessly combines the schema information with standard B-tree technology, resulting in a simple and scalable solution.
DissertationDOI
Ontology-based Infrastructure for Intelligent Applications
TL;DR: Diese Arbeit stellt dar, wie Ontologien als Infrastruktur zur Entwicklung neuartiger Applikationen verwendet werden konnen, die den User bei verschiedenen Arbeiten unterstutzen.
Book ChapterDOI
Querying Semistructured Data Based on Schema Matching
TL;DR: In this article, a query is a pair consisting of what we want and how we want it, which can be achieved by matching a (partial) schema and the latter by specifying additional operations.
Book ChapterDOI
Algebraic Transformation and Optimization for XQuery
TL;DR: In this paper, an XML data model and query algebra are proposed to provide a semantics and a means of optimization for the XQuery language, which is a standardized query language for XML.
References
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Journal ArticleDOI
Federated database systems for managing distributed, heterogeneous, and autonomous databases
Amit P. Sheth,James A. Larson +1 more
TL;DR: In this paper, the authors define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed, and define a methodology for developing one of the popular architectures of an FDBS.
Journal ArticleDOI
Query evaluation techniques for large databases
TL;DR: This survey describes a wide array of practical query evaluation techniques for both relational and postrelational database systems, including iterative execution of complex query evaluation plans, the duality of sort- and hash-based set-matching algorithms, types of parallel query execution and their implementation, and special operators for emerging database application domains.
Proceedings Article
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
Roy Goldman,Jennifer Widom +1 more
TL;DR: The theoretical foundations of DataGuides are presented along with an algorithm for their creation and an overview of incremental maintenance, and performance results based on the implementation of dataGuides in the Lore DBMS for semistructured data are provided.
Journal ArticleDOI
The Lorel Query Language for Semistructured Data
TL;DR: The main novelties of the Lorel language are the extensive use of coercion to relieve the user from the strict typing of OQL, which is inappropriate for semistructured data; and powerful path expressions, which permit a flexible form of declarative navigational access and are particularly suitable when the details of the structure are not known to the user.
Book
The object database standard: ODMG 2.0
R. G. G. Cattell,Douglas K. Barry,Dirk Bartels,Mark Berler,Jeff Eastman,Sophie Gamerman,David Jordan,Adam Springer,Henry Strickland,Drew Wade +9 more
TL;DR: With this book, standards are defined for object management systems and this will be the foundational book for object-oriented database product.