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 the Era Environment of Data Mining
Xin Zhao,Yan Hong Huangfu +1 more
TL;DR: Faced with these challenges, data mining techniques have emerged, and have a higher frame model security and privacy protection according distributed heterogeneous environments of data mining features, integrated use of new technologies SOA, ontology, WEB services, follow the user-centric concept and data mining system framework proposed an open service oriented.
Organizing Knowledge and Accessing a Comprehensive Base Using the World Wide Web
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TL;DR: START, a natural question answering system that provides users with high-precision information access through the use of natural language annotations, and Omnibase, which assists START by integrating Web databases into a single, uniformly structured "virtual database."
Journal ArticleDOI
Retrieval Performance of XML Documents Using Object-Relational Databases
TL;DR: The purpose of this study is to evaluate the performance of XML retrieval based on ORDBMSs(Object-Relational Database Management Systems) approach, which showed relatively disappointed retrieval performance at INEX 2002.
Proceedings ArticleDOI
A Research on Ontology Modeling for Multi Source Heterogeneous Audit Data
TL;DR: This paper constructs the audit domain ontology, defines audit information ontology Audit-ontology, and analyzes the concept and semantic analysis of the audit information by using OWL language to connect the ontology to data source.
Journal ArticleDOI
Consistency control for semistructured data
TL;DR: The usability of various mechanisms suggested in the context of databases, including real-time databases, is analyzed and an approach based on the concept of multilevel transactions is presented in detail.
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.