Building an XML document warehouse

International Journal of Information Retrieval Research, 2012

Designing “good” XML documents is a very difficult task for a database designer. Although many theories for XML database design have proposed, none of commercial design tool for XML document design has been developed to assist the XML document designer. In this paper, the authors present a formal framework of XML document design by incorporating a conceptual model of XML schema called Graph-Document Type Definition (G-DTD) with a theory of database normalization. This framework is designed as a blueprint to help the XML database designers to perform the XML document schema design quickly and accurately. The G-DTD is used to describe the structure of XML documents at the schema level. A set of normal forms for G-DTD on the basis of rules proposed by Arenas and Libkin and Lv. et al is used to provide a guideline to a well-designed schema for XML documents. They develop a prototype of XML document schema design using a Z formal specification language. Finally, using a case study, this ...

Annals of Information Systems, 2008

There has been a lot of research on OLAP (On-Line Analytical Processing) systems during the past decade. These systems allow decision makers to improve their decisions. Despite numerous multidimensional conceptual models, none tackle the problem of analysing data extracted from text-rich XML documents. These documents represent a lot of unavailable information for actual OLAP systems. Moreover, the implementation of such a system requires an adapted design process. In this paper, we present an adapted "galaxy" model for the analysis of text-rich XML documents. This model is associated to an adapted design process and a tool that takes in charge all automated tasks of the process.

Citeseer

XML becomes the standard for the representation of structured and semi-structured data on the Web. Relational and object-relational database systems are a well understood technique for managing and querying such large sets of structured data. In our approach, the nested-relations data model is the basic model for representing XML data in object-relational database systems. Using the partitioned normal form (PNF), we show how a relevant subset of XML documents and their implied structure can be mapped onto database structures. Besides straightforward mappings, there are some XML structures which cannot be easily mapped to database structure, namely mixed-content and alternatives. These structures would result in large database schemas and sparsely populated databases. As a consequence, such XML document fragments should be mapped onto database attributes of type XML and kept as is. We present an algorithm which finds some kind of optimal mapping based on statistics and the XML Document Type Definition (DTD). The statistics are derived from sample XML document sets and some knowledge about queries on XML document collections.

Proceedings of the 2006 ACM symposium on …, 2006

This paper provides a formal specification in Z of a conceptual model for an XML document called Graph-Document Type Definition (G-DTD). This model has been used for describing XML documents at the schema level and also assists the user to arrange the content of XML documents. More importantly G-DTD can be used as a tool to simplify the XML document design in a simple and precise way. The specification presented here provides a formal account of the state and operation of this model and a sound basis for instantiations of the model to be built.

2014

The intense use of the web has made it a very changing environment, its content is in permanent evolution to adapt to the demands. The standards have accompanied this evolution by passing from standards that regroup data with their presentations without any structuring such as HTML, to standards that separate both and give more importance to the structural aspect of the content such as XML standard and its derivatives. Currently, with the appearance of the Semantic Web, ontologies become increasingly present on the web and standards that allow their representations as OWL and RDF/RDFS begin to gain momentum. This paper provided an automatic method that converts XML schema document to ontologies represented in OWL.

Data & Knowledge Engineering, 2005

XML was initially developed for document management, but it is becoming increasingly used for storing and exchanging all kinds of data on the Internet. In this paper, we introduce a design methodology for XML schemas that is based upon well-understood conceptual modeling methodologies. Because XML is hierarchical (tree-structured), many different XML schemas (or document structures) can be generated from the same conceptual database schema. We describe algorithms for generating customized hierarchical views from EER model, creating XML schemas from hierarchical views, generating SQL queries corresponding to the XML schemas, and creating XML instance documents from the query results.

TR00-004, University of Florida, …, 2000

Ecis, 2003

XML has been known as a document standard in representation and exchange of data on the Internet, and is also used as a standard language for the search and reuse of scattered documents on the Internet. The issues related to XML are how to model data on effective and efficient management of semi-structured data and how to actually store the modeled data when implementing a XML contents management system. Previous researches on XML have limitations in (1) reproduction of XML documents from the stored data, (2) retrieval of XML sub-graph from search, (3) supporting only top-down search, not full-search, and (4) dependency of data structure on XML documents. The purpose of this paper is to present a hybrid XML data model architecture for the storage and search of XML document data. By representing both data and structure views of XML documents, this new XML data model technique overcomes the limitations of previous researches on data model for XML documents as well as the existing database systems such as relational and object-oriented data model.

Lecture Notes in Computer Science, 2003

The organization of documents is a task that we face as computer users daily. This is particularly true for management of email. Typically email documents are organized in directory structures, which reflect the users' ontology with respect to his daily communication needs. Since users' activities are continuously changing this may render email classifications increasingly inaccurate and manual maintenance is a painstaking task. In this paper we present an approach for integrating user-defined folder structures with classification schemes that have been automatically derived from the email content. This allows to automating the process of evolving and optimizing directory structures without sacrificing knowledge captured in manually created folder structures. A prototype demonstrating the feasibility and utility of our approach has been developed and evaluated. With our approach we address both an important practical problem and provide a relevant study on the application of various techniques for maintaining application specific ontologies.