2 edition of Semantic Technologies in Content Management Systems found in the catalog.
|Statement||edited by Wolfgang Maass, Tobias Kowatsch|
|Contributions||Kowatsch, Tobias, SpringerLink (Online service)|
|The Physical Object|
|Format||[electronic resource] :|
Semantic Content Management Systems for Enterprise Knowledge Management and News Mining Project: Semantic Content Management Systems for Enterprise Knowledge Management and News Mining Staying on top of the mass of knowledge assets and the flood of news in the enterprise is critical but increasingly hard. Use semantic data management to enrich and link your heterogeneous data semantically. Base your smart applications on such a semantic layer. We support you in tackling data silos without the replacement of IT-systems. Establish a semantic layer on top of your data repositories. Learn more.
The Semantic Web Will Redefine Content Management By with a picture of the device beside your lovingly crafted content. But the Semantic Web might know that user X's favorite color is . When the content (number of pages, images, etc.), and/or the number of contributors, grows large, a content management system (CMS) helps collect and create the content in ways that makes it easy to reuse. A CMS allows a team of contributors to work on the same pages without conflicting (check-in/check-out and workflow control).
Janus Boye recently shared a presentation on how semantic technologies can help content management system customers better benefit from their data. Boye states, “Today there are probably 1,+ content management systems in use in the European Union. Very few of these are using semantics-based technologies, which holds the promise to substantially improve employee . Just look at the state of CMS [content management systems]. Well-built HTML is still a rarity, add on top of that the requirements of microformats, RDF, OWL, or similar techniques and it will only find practical applications within formalized information systems such as Wikipedia, IMDB, etc.” – Roarke Lynch, Director, NetSmartz Workshop for.
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: Semantic Technologies in Content Management Systems: Trends, Applications and Evaluations (): Maass, Wolfgang, Kowatsch, Tobias: Books. Content Management Systems (CMSs) are used in almost every industry by millions of end-user organizations. In contrast to the 90s, they are no longer used as isolated applications in one organization but they support critical core operations in business ecosystems.
Semantic Technologies in Content Management Systems book Content management today is more interactive and more integrative: interactive because end-users are increasingly content creators themselves and integrative because content elements.
This book has therefore the objective, to reflect existing applications as well as to discuss and present new applications for CMSs that use Semantic Technologies. An evaluation of 27 CMSs concludes this book and provides a basis for IT executives that plan to adopt or replace a CMS in the near future.
The authors of this book investigate how Semantic Technologies can increase interactivity and integration capabilities of CMSs and discuss their business value to millions of end-user organizations.
This book has therefore the objective, to reflect existing applications as well as to discuss and present new applications for CMSs that use Semantic Technologies.
This book shows how Semantic Technologies can increase interactivity and integration capabilities of CMSs, and discusses their business value to millions of end-user organizations. Evaluates 27 CMS systems, offering advice for IT executives and others.
Semantic technologies in Content Management Systems. Summary: This book shows how Semantic Technologies can increase interactivity and integration capabilities of CMSs, and discusses their business value to millions of end-user organizations. IASON Semantic Content Management System [Grunenberg, Johannes] on *FREE* shipping on qualifying offers.
IASON Semantic Content Management SystemAuthor: Johannes Grunenberg. The Rhizomer platform is a Content Management System (CMS) based on a Resource Oriented Approach (RESTful) and Semantic Web technologies.
It. Interactive Knowledge Stack (IKS)  is an FP7 research project targeting to Content Management System (CMS) providers in Europe so that current CMS frameworks gain semantic of the CMS technology platforms do not address semantic information about the content, hence lack the intelligence .Therefore, today’s implementations cannot provide the interaction with the content Author: Ali Anil Sinaci, Suat Gonul.
Compared to traditional content management systems, these systems can support further functions, such as semantic enabled search, explication of relations between documents, drafting of new. This chapter discusses how a Semantic Enterprise Content Management system employs metadata and ontologies to effectively overcome these challenges.
The emergence and growth of the Internet and vast corporate intranets as information sources has resulted in new challenges with regard to scale, heterogeneity, and distribution of content. Further chapters examine how Semantic Web technology is being applied in knowledge management (“Semantic Information Access”) and in the next generation of Web services.
Semantic Web Technologies: Provides a comprehensive exposition of the state-of-the art in Semantic Web research and key technologies. Thus, semantic technologies create a universal medium for information exchange by giving semantics, in a manner understandable by machines, to the content of resources (Wu, ; Sriti et al., ).
The objective of this chapter is to: (1) develop a knowledge management framework for capturing, manipulating, and disseminating organizational Author: V.
Sugumaran. Semantic Web Technologies and E-Business: Toward the Integrated Virtual Organization and Business Process Automation, A.F. Salam and Jason R. Stevens, IGI Global (), ISBN: (see the WorldCat’s site or the bookmashup RDF data). Abstract: Semantic Web technology is widely used and extends the promised benefits for intelligent web applications development.
Today, almost all web applications are integrated with Semantic Web technology. This paper presents a Semantic Web based approach to build a digital library content management system using ontologies.
This book outlines the latest research, theoretical and technological advances, and applications of semantic web and web technologies in e-learning.
It provides a guide for researchers and developers to the present and future tendencies of resear. The evaluation of (semantic) multimedia management systems, with respect to retrieval of content, is a difficult task. However, a common approach used in the field is to present a use case scenario and show the enhanced feasibility with the proposed system , , .Cited by: DITA was conceived as a model for improving reuse through topic-oriented modularization of content.
Instead of creating new content or copying and pasting information which may or may not be current and authoritative, organizations manage a repository of content assets – or DITA topics – that can be centrally managed, maintained and reused across the enterprise.
The Handbook of Research on Social Dimensions of Semantic Technologies and Web Services discusses the main issues, challenges, opportunities, and trends related to this new technology, transforming the way we use information and knowledge.
This Handbook of Research is an excellent resource for researchers, academicians, and professionals with. semantic data integration, and; taxonomies/classification. Given a question, semantic technologies can directly search topics, concepts, associations that span a vast number of sources.
Semantic technologies provide an abstraction layer above existing IT technologies that enables bridging and interconnection of data, content, and processes. Semantic Services, Interoperability and Web Applications: Emerging Concepts offers suggestions, solutions, and recommendations for new and emerging research in Semantic Web technology.
Focusing broadly on methods and techniques for making the Web more useful and meaningful, this book unites discussions on Semantic Web directions, issues, and. Semantic Content Management Systems.
Content Management Systems (CMSs) provide a platform to store, retrieve, browse and search for content stored in the form of documents, or files in various formats.
Conventional CMSs however, provided only rudimentary metadata for each content element, and therefore searching for content in such systems was only based on.I actively played a role in the field of applied research to evaluate the impact of these technologies and to understand how, knowledge extraction, NLP and semantic technologies (now also called applied AI), could improve content management systems, publishing workflows, and content : Andrea Volpini.