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
Reads0
Chats0
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
More filters
Journal ArticleDOI
Okapi‐based XML indexing
TL;DR: A method for XML indexing based on the information retrieval (IR) system Okapi, using the underlying data structures of Okapi as an example, and a revised method implemented on Okapi using path indexing structures is explored.
The Vagabond Parallel Temporal Object-Oriented Database System: Versatile Support for Future Applications
TL;DR: An architecture suitable for this purpose, the Vagabond Parallel Temporal Object-Oriented Database system is described and techniques to avoid some possible bottlenecks in a system based on this new architecture are described.
Proceedings ArticleDOI
Index design for structured documents based on abstraction
TL;DR: A general framework for manipulating structured documents based on document abstractions is described, which can be applied to index design, document searching and categorization and is presented by focusing on the indexing and searching of structured documents in the XML domain.
The Toronto XML Engine
Denilson Barbosa,Attila Barta,Alberto O. Mendelzon,George A. Mihaila,Flavio Rizzolo,Patricia Rodriguez-gianolli +5 more
Journal ArticleDOI
Theorem prover approach to semistructured data design
TL;DR: This paper formally specifies the semantics of the Object Relationship Attribute data model for Semistructured Data (ORA-SS) modeling notation and its correctness criteria for semistructuring data normalization using the Prototype Verification System (PVS).
References
More filters
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.