Applying a flexible OODBMS-IRS-coupling to structured document handling

Volz, Michael; Aberer, Karl; Böhm, Klemens

doi:10.1109/icde.1996.492084

Cited by 20 publications

(14 citation statements)

References 15 publications

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“…The most important one is that by providing the set of methods necessary to support the predicates and operators of TDRL, this query language could be directly translated into an OQL-based query language. As a result, TOODOR could be implemented in a similar way to some available SGML databases like that proposed in [1,3,21]. Nevertheless, there are some aspects of TOODOR that cannot be supported by this approach.…”

Section: Oodsmentioning

confidence: 95%

“…An important amount of work has been focused on the adaptation of traditional database models to satisfy the requirements of the representation and retrieval of structured documents. As a result, several models for structured document databases have been proposed, for example Vodak [1], Lorel [2] and [3]. Most of these solutions apply object-oriented databases technology and integrate concepts from the areas of electronic publishing [4] and information retrieval systems [5].…”

Section: Introductionmentioning

confidence: 99%

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A temporal object‐oriented model for digital libraries of documents

Cabo

Berlanga

2001

Concurrency and Computation

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SUMMARYThis paper presents a model for the representation and retrieval of structured documents considering their temporal properties. The purpose of this model is to serve as a platform for the development of digital library applications. Thus, it consists of both a new data model and a query language that are specially adapted to the requirements of these applications. The main elements of the data model are a flexible type system for structured documents, and two temporal dimensions that represent the temporal properties of documents and the evolution of the database schema. As for its query language, it allows the retrieval of documents by specifying conditions on their structure, contents and temporal properties. This query language has been designed for exploiting the temporal information stored into a large digital library, making possible to relate document contents in time, as well as to analyse the evolution of topics. The paper also includes some guidelines for the efficient implementation of databases of structured documents by adopting the proposed data and query models.

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Section: Oodsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

A temporal object‐oriented model for digital libraries of documents

Cabo

Berlanga

2001

Concurrency and Computation

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“…Although there are many cases of using attribute information for describing structure, most of the systems [2,6,8,9,14] proposed support mainly element-based structured documents and do not consider attribute-based ones. So, to process attribute-based structure information, they must convert all attributes into elements.…”

Section: Telmentioning

confidence: 99%

A structured documents retrieval method supporting attribute-based structure information

Choy

2002

Proceedings of the 2002 ACM Symposium on Applied Computing

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+82 2 393 7663 +82 2 393 7663 pitta@ rainbow.yonsei.ac.kr ycchoy@ rainbow.yonsei.ac.kr ABSTRACTThere are many studies on retrieval methods for structured documents but most of the studies are for those whose structure information is expressed by elements. But when elements are used to describe a document structure, the structure becomes static and difficult to expand So describing a document structure using attributes is used in many standards. But most of the existing systems support mainly element-based structured documents and do not consider attribute-based ones. Hence they do not support attribute-based structured documents well. So, we propose a new indexing method that supports attribute-based structured documents. In our index scheme, element-based structure information and attribute-based structure information are seamlessly integrated to describe a general document structure. Also, we consider possible searching methods under the proposed index, and implement each method. And then, we experiment each method using the document actually being used in business, then analyze the results.

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“…Based on the DB2 object-relational DBMS, the XML Extender manages XML documents in HyperStorM. The objective of HyperStorM was to build an application database framework for storing structured documents in a system coupling an object-oriented DBMS and an information retrieval system [10]. Their approach distinguishes three strategies to represent SGML documents in an object-oriented database: (1) a completely structured database-internal representation of documents, i.e., each logical document component corresponds to a database object, (2) documents are stored as BLOBs in the database, and (3) the hybrid approach of (1) and (2), i.e., some "nonflat" elements are represented by individual database objects in an object hierarchy while "flat" elements represent parts of the document in their native form (text interspersed with markup).…”

Section: Related Workmentioning

confidence: 99%

“…In this section, we briefly examine storage and management concepts of documents in the XML Extender (IBM Ö DB2 Ö Extenders TM ) [3], in HyperStorM (Hypermedia Document Storage and Modeling) [10], in Structured Multimedia Document DBMS [1], and in NATIX (Native XML Repository) [4].…”

Section: Related Workmentioning

confidence: 99%

Access Support Tree and TextArray: a data structure for XML document storage and retrieval

Scheffner

Freytag

Proceedings 14th International Conference on Scientific and Statistical Database Management

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The characteristics of XML documents require new ways of storing and querying such documents. Queries on both textual content and structural aspects must be supported efficiently. For this reason, we examined existing work on both document storage approaches and models for querying documents to derive requirements that are essential for the storage of XML documents. As a result of our study, we designed the Access Support Tree and TextArray (AST/TA) data structure. The important idea of the AST/TA data structure is the separation of the (logical) structure of a document from its "visible" text content. The latter is represented as a single contiguous string. At the same time the AST/TA data structure provides a tight integration to guarantee consistent changes. We introduce the AST/TA data structure formally by its abstraction, namely the AST/TA model and compare requirements of our AST/TA approach with those found in the current literature. Finally, we describe the advantage of the AST/TA model based on the AST/TA design principles.

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Applying a flexible OODBMS-IRS-coupling to structured document handling

Abstract: In document management systems it is desirable to provide content-based

Cited by 20 publications

References 15 publications

A temporal object‐oriented model for digital libraries of documents

A temporal object‐oriented model for digital libraries of documents

A structured documents retrieval method supporting attribute-based structure information

Access Support Tree and TextArray: a data structure for XML document storage and retrieval

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