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Journal ArticleDOI

Lore: a database management system for semistructured data

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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.

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Citations
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Semistructured Data and XML.

TL;DR: In this article, the authors introduce semistructured data by presenting a syntax and describing the datamodel, and discuss some query languages designed for semi-structured data and address some systems issues, such as storage and XML compression.
Book ChapterDOI

BBQ: A Visual Interface for Integrated Browsing and Querying of XML

TL;DR: This paper presents BBQ (Blended Browsing and Querying), a graphic user interface for seamlessly browsing and querying XML data sources that allows users to query data sources with loose or incomplete schema, and can augment such schema with a DTD inference mechanism.

XParent: An efficient RDBMS-Based XML database system

TL;DR: XParent as discussed by the authors is an XML document management system built on top of RDBMS, which uses a fixed database schema to store any XML documents without assistance of DTD.
Proceedings Article

Indexing XML Data with ToXin.

TL;DR: ToXin is an indexing scheme for XML data that fully exploits the overall path structure of the database in all query processing stages and synthesizes ideas from object-oriented path indexes and extends them to the semistructured realm of XML data.
Journal ArticleDOI

Model checking hybrid logics (with an application to semistructured data)

TL;DR: This work provides model checker algorithms for various hybrid fragments and proves PSPACE-completeness for hybrid fragments including binders and complement and motivate the complexity results with an application of model checking in hybrid logic to the problems of query and constraint evaluation for semistructured data.
References
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Journal ArticleDOI

Federated database systems for managing distributed, heterogeneous, and autonomous databases

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

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

TL;DR: With this book, standards are defined for object management systems and this will be the foundational book for object-oriented database product.
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