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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BookDOI
The World Wide Web and Databases
TL;DR: The name Quilt suggests both the way in which features from several languages were assembled to make a new query language, and theway in which Quilt queries can combine information from diverse data sources into a query result with a new structure of its own.
Towards the semantic web: knowledge representation in a dynamic, distributed environment
James A. Hendler,Jeff Heflin +1 more
Proceedings ArticleDOI
A performance evaluation of storing XML data in relational database management systems
Latifur Khan,Yan Rao +1 more
TL;DR: This paper examines how XML data can be stored and queried using a standard relational database management system (RDBMS) and proposes a technique for automatic mapping from an XML document to relations within the RDBMS.
Proceedings ArticleDOI
Path materialization revisited: an efficient storage model for XML data
TL;DR: This paper presents a new model-mapping-based storage model, called XParent, and studies the key issues that affect query performance, namely, storage schema design (storing XML data across multiple tables) and path materialization (Storing path information in databases).
Journal ArticleDOI
Inference of concise regular expressions and DTDs
TL;DR: A novel learning algorithm crx is introduced that directly infers CHAREs (which form a subclass of SOREs) without going through an automaton representation and it is shown that crx performs very well within its target class on very small datasets.
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.