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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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What Goes Around Comes Around

TL;DR: In this paper, a summary of 35 years of data model proposals, grouped into 9 different eras, is presented, and the lessons learned from the exploration of the proposals in each era.
Proceedings ArticleDOI

Analysis of different approaches for storing GML documents

TL;DR: The general aim of this paper is to study the behaviour of different alternatives over XML documents applied to store and query GML documents (alphanumeric and spatial data) and the effectiveness of storage models in terms of query processing.
Book ChapterDOI

An improved prefix labeling scheme: a binary string approach for dynamic ordered XML

TL;DR: This paper designs a binary string prefix scheme which supports order-sensitive update without any re-labeling or re-calculation, and it provides efficient support to both ordered and un-ordered queries.
Journal ArticleDOI

Answering XML Queries Using Path-Based Indexes: A Survey

TL;DR: This paper surveys various approaches to indexing XML data proposed in the literature and gives a step by step analysis to show the evolution of index structures for XML path information, based on tree structures or more commonly, directed labeled graphs.
Proceedings ArticleDOI

Structural proximity searching for large collections of semi-structured data

TL;DR: A family of encoding and compression schemes are described which enable us to build an index to efficiently implement the proximity search, which is extremely small, and can reflect updates in the underlying database in modest time.
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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