File Name: web warehousing and knowledge management .zip
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. The Knowledge Management combined with Information Technology is a key success factor for sustainable organization.
A Document Management Software is a computer program used to store, manage and track electronic documents and electronic images of paper based information captured through the use of a document scanner. OpenKM is a management solution that allows businesses to control the production, storage, management and distribution of electronic documents, yielding greater effectiveness and the ability to reuse information and to control the flow of the documents. OpenKM is a document management software that integrates all essential document management, collaboration and an advanced search functionality into one easy to use solution. The system also includes administration tools to define the roles of various users, access control, user quota, level of document security, detailed logs of activity and automation setup. OpenKM document management software builds a highly valuable repository of corporate information assets to facilitate knowledge creation and improve business decision making, boosting workgroups and enterprise productivity through shared practices, greater, better customer relations, faster sales cycles, improved product time-to-market, and better-informed decision making. OpenKM Records Management helps your organization by efficiently and systematically controlling the creation, reception, maintenance, utilization and disposition of records, including processes for capturing and maintaining evidence of and information about business activities and transactions in the form of records.
His research is on the application of Semantic Web technologies for knowledge management in the life sciences. He has recently been appointed as Scientist at Bayer CropScience. His research interest is the development of software approaches to enable Systems Biology, in particular in the field of knowledge management. His main interest is in Semantic Systems Biology. New knowledge is produced at a continuously increasing speed, and the list of papers, databases and other knowledge sources that a researcher in the life sciences needs to cope with is actually turning into a problem rather than an asset. The adequate management of knowledge is therefore becoming fundamentally important for life scientists, especially if they work with approaches that thoroughly depend on knowledge integration, such as systems biology. Several initiatives to organize biological knowledge sources into a readily exploitable resourceome are presently being carried out.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. From the Publisher: Discover the key to harnessing new approaches to business systems development with this one-of-a-kind, straightforward problem-solving guide. Written especially for those making the transition into a new technological and theoretical paradigm. Web Warehousing and Knowledge Management clarifies, simplifies, and demystifies. View PDF. Save to Library.
PDF | The knowledge sharing in a data warehouse (DW) project is The study design was quantitative and used a web-enabled survey to.
Full text available only in PDF format. Web Data Warehouses have been introduced to enable the analysis of integrated Web data. One of the main challenges in these systems is to deal with the volatile and dynamic nature of Web sources. By managing source evolution we mean the automatic propagation of these changes to the DW. This paper presents this architecture and analyses some selected evolution cases in the context of Web DW. CACM, 39 11 , November Web Farming for the Data Warehouse.
Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications provides the most comprehensive compilation of research available in this emerging and increasingly important field. This six-volume set offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than chapters contributed by over experts from 37 countries, this authoritative collection will provide libraries with the essential reference on data mining and warehousing.
The World Wide Web is a distributed global information resource. It contains a large amount of information that have been placed on the web independently by different organizations and thus, related information may appear across different web sites. To manage and access heterogeneous information on WWW, we have started a project of building a web warehouse, called Whoweda W arehouse of W eb D ata. Currently, our work on building a web warehousing system has focused on building a data model and designing a web algebra. In this paper, we discuss design and research issues in a web warehousing system.
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