Knowledge management and XML

Dictionary of XML Technologies and the Semantic Web, 2004

British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Cataloging-in-Publication Data Geroimenko, Vladimir, 1955-Dictionary of XML technologies and the semantic Web I Vladimir Geroimenko p. cm.-(Springer professional computing) Includes bibliographical references.

2004

XML in Data Management is for IT managers and technical staff involved in the creation, administration, or maintenance of a data management infrastructure that includes XML. For most IT staff, XML is either just a buzzword that is ignored or a silver bullet to be used in every ...

Internet Computing, IEEE, 2001

2003

The eXtensible Markup Language (XML) offers many important benefits and improvements over its predecessor, HTML. But, articles have appeared about XML with exaggerated claims of it being a "Rosetta Stone" with "miraculuous ways" to almost automatically provide information integration. These claims are actually being believed by some executives. It is almost surprising that no one has claimed that XML can cure cancer and provide world peace! In reality, XML must face many of the same challenges that plagued Electronic Data Interchange (EDI) and database integration efforts of the past. To a large extent, there are both managerial and technical challenges -much related to the difficulties of attaining universally accepted semantically-rich standards. In this paper, these challenges will be discussed with specific emphasis on the issue of dealing with a real-world with multiple "contexts." Some promising research directions, some overlapping with the "semantic web" effort, will be presented.

Communications of the IIMA

Today's economy pulses with electronic vibrancy, extensible Markup Language (XML) has prompted individuals and organizations to discover new and creative ways of enhancing existing technologies and creating new ones. This study investigates emerging XML-related technologies that cover abroad range of industries and their organizational systems. XML provides access to a plethora of technologies for manipulating, structuring, transforming and querying data.

Proceedings of the 2006 ACM symposium on …, 2006

Proceedings of the 2005 ACM SIGMOD international conference on Management of data - SIGMOD '05, 2005

As XML has evolved from a document markup language to a widely-used format for exchange of structured and semistructured data, managing large amounts of XML data has become increasingly important. A number of companies, including both established database vendors and startups, have recently announced new XML database systems or new XML functionality integrated into existing database systems. This tutorial will provide an insight into how XML functionality fits into relational database management systems as seen by three major relational vendors: IBM, Microsoft and Oracle.

2020

Well organized data contributes extensively to the classification possibilities and quality of Knowledge Management. XML schemas play an important role in data organization activities, and provide basic foundations for companies and organizations dealing with large amounts of data. In times where knowledge represents the greatest advantage in a competitive economy and is relatively simple to find through different web providers, the quality of internal data structures and efficient management of a company’s valuable information is of the utmost importance. XML schemas are one of the mechanisms that can provide a data organization system in a qualitative manner, and efficient knowledge management as soon as data have been defined or accumulated. A good XML schema support is a way to increase the competitiveness of an organization by ensuring structured data quality and simplifying the Knowledge Management process.

2010

Synthesis Lectures on Data Management is edited by Tamer Özsu of the University of Waterloo. The series will publish 50-to 125 page publications on topics pertaining to data management. The scope will largely follow the purview of premier information and computer science conferences, such as ACM SIGMOD, VLDB, ICDE, PODS, ICDT, and ACM KDD. Potential topics include, but not are limited to: query languages, database system architectures, transaction management, data warehousing, XML and databases, data stream systems, wide scale data distribution, multimedia data management, data mining, and related subjects.

2008

A formal definition of an object-oriented data/knowledge model *

"Semantic Hyper/Multi-media Adaptation: Schemes and Applications", Springer 2013

"In the context of the emergent Web of Data, a large number of organizations, institutes and companies (e.g., DBpedia, Geonames, PubMed ACM, IEEE, NASA, BBC) adopt the Linked Data practices and publish their data utilizing Semantic Web (SW) technologies. On the other hand, the dominant standard for information exchange in the Web today is XML. Many international standards (e.g., Dublin Core, MPEG-7, METS, TEI, IEEE LOM) have been expressed in XML Schema resulting to a large number of XML datasets. The SW and XML worlds and their developed infrastructures are based on different data models, semantics and query languages. Thus, it is crucial to provide interoperability and integration mechanisms to bridge the gap between the SW and XML worlds. In this chapter, we give an overview and a comparison of the technologies and the standards adopted by the XML and SW worlds. In addition, we outline the latest efforts from the W3C groups, including the latest working drafts and recommendations (e.g., OWL 2, SPARQL 1.1, XML Schema 1.1). Moreover, we present a survey of the research approaches which aim to provide interoperability and integration between the XML and SW worlds. Finally, we present the SPARQL2XQuery and XS2OWL Frameworks, which bridge the gap and create an interoperable environment between the two worlds. These Frameworks provide mechanisms for: (a) Query translation (SPARQL to XQuery translation); (b) Mapping specification and generation (Ontology to XML Schema mapping); and (c) Schema transformation (XML Schema to OWL transformation)."

2010

A b s t r a c t As part of an enterprise effort to develop new clinical information systems at Intermountain Health Care, the authors have built a knowledge authoring tool that facilitates the development and refinement of medical knowledge content. At present, users of the application can compose order sets and an assortment of other structured clinical knowledge documents based on XML schemas. The flexible nature of the application allows the immediate authoring of new types of documents once an appropriate XML schema and accompanying Web form have been developed and stored in a shared repository. The need for a knowledge acquisition tool stems largely from the desire for medical practitioners to be able to write their own content for use within clinical applications. We hypothesize that medical knowledge content for clinical use can be successfully created and maintained through XML-based document frameworks containing structured and coded knowledge. j J Am Med Inform Assoc. 2005;12:418-430.

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2005

Analytical knowledge is distributed among domain experts, analysts, and data-storage systems. Extracting such knowledge from databases is of interest to corporations. The traditional top-down development of corporate memory is not appropriate for modern organizations because of the distributed nature of information. This paper proposes models of analytical knowledge and new ways of developing corporate memory by using an extensible markup

Selected Readings on Database Technologies and Applications

This chapter introduces different alternatives to store and manage jointly relational and eXtensible Markup Language (XML) data sources. Nowadays, businesses are transformed in e-business and have to manage large data volumes and from heterogeneous sources. To manage large amounts of information, Database Management Systems (DBMS) continue to be one of the most used tools, and the most extended model is the relational one. On the other side, XML has reached the de facto standard to present and exchange information between businesses on the Web. Therefore, it could be necessary to use tools as mediators to integrate these two different data to a common format like XML, since it is the main data format on the Web. First, a classification of the main tools and systems where this problem is handled is made, with their advantages and disadvantages. The objective will be to propose a new system to solve the integration business information problem.

2003

The data mining results of the last years are mainly constituted by e cient techniques for extracting knowledge from large data sets and represented by patterns like association rules, classi ed data, clusters, etc... Each pattern takes a peculiar format. Inductive databases have been proposed in 9] as general purpose databases that solve the problems of integration between data and patterns. Unfortunately, the heterogeneity of the patterns and of the di erent conceptual tools used to extract them make di cult the integration in a unique framework. In this paper, we explore the feasibility of using XML as the unifying framework for inductive databases, and propose a new model, called XDM (XML for Data Mining). We will show the basic features of the model, such as the storage in the same database of both data and patterns. Determinant for the interpretation of patterns is the storage of pattern derivation process. This latter is described by the statements, based on data mining operators. Some of the statements are automatically generated by the system while maintaining consistence between source and derived data. Furthermore, we show how the use of XML namespaces allows the e ective coexistence of di erent data mining operators and provides extensibility to new operators. Finally, we show that with the use of XML-Schema it is possible to de ne the schema, the state and the integrity constraints of an inductive database.