Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources

Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources

Release Date: April, 2012|Copyright: © 2012 |Pages: 387
DOI: 10.4018/978-1-4666-0894-8
ISBN13: 9781466608948|ISBN10: 1466608943|EISBN13: 9781466608955
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Description & Coverage
Description:

Collaborative working has been increasingly viewed as a good practice for organizations to achieve efficiency. Organizations that work well in collaboration may have access to new sources of funding, deliver new, improved, and more integrated services, make savings on shared costs, and exchange knowledge, information and expertise.

Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources showcases cutting-edge research on the intersections of Semantic Web, collaborative work, and social media research, exploring how the resources of so-called social networking applications, which bring people together to interact and encourage sharing of personal information and ideas, can be tapped by Semantic Web techniques, making shared Web contents readable and processable for machine and intelligent applications, as well as humans. Semantic technologies have shown their potential for integrating valuable knowledge, and they are being applied to the composition of digital learning and working platforms. Integrated semantic applications, linked data, social networks, and networked digital solutions can now be used in collaborative environments and present participants with the context-aware information that they need.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Collaborative Learning Environments
  • Collaborative software engineering
  • Integrated semantic applications
  • Querying and discovering knowledge
  • Semantic technologies
  • Semantic Web
  • Semantic Web, Collaborative Work, and Social Media
  • Shared ontologies
  • Social Media
  • Social network service
Reviews & Statements

Altogether the book represents an excellent compilation of recent advancements, challenges, and insights in the area of collaborative semantic applications. It is of great use to advanced students, researchers, and practitioners aiming to research and develop collaborative systems and applications that build on semantic technologies.

– Sören AuerUniversität Leipzig, Germany

The essays look at various ways in which the technologies associated with the Semantic Web can be harnessed to improve systems for knowledge-sharing and collaboration across organisations. The specialised topics addressed include data mining, named entity recognition, ontology alignment and engineering, the semantics of email, and the generation of knowledge from tags in social media and social networks. As well as discussing the underlying technologies, the contributors also look at strategies for integrating this kind of ‘semantic knowledge representation’ into organisational systems. They also examine specific organisational settings where these approaches are likely to be of particular relevance, including software development and business intelligence. This is a collection that is primarily intended for specialist researchers in computer science and knowledge management.

– The Australian Library Journal, Vol. 62, No. 2 - Toby Burrows, University of Western Australia
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Editor/Author Biographies
Stefan Brüggemann is a quality engineer at Astrium Space Transportation. He is currently working on software quality assurance in agile development projects, and on several CMMI-topics. He received his PhD from the University of Oldenburg in 2011 for his work on consistency control in data quality management, where he utilized semantic technologies for the detection and removal of violations of conditional functional dependencies. Further, he used collaborative technologies to integrate domain experts in quality management. From 2005 to 2011, he was working as a research assistant at OFFIS - Institute for Information Technology in the R&D Division Health. His main topics of interest are: ontology based data quality management in the health market, quality based data integration in data warehouse systems, linked open data, and the semantic web. He is organizer of the international workshops on “Data management and interoperability in the health market” in 2011 and 2010, and was serving as a program committee member of several international conferences, such as ACM SAC SWA 2010-2012 and IMMM 2011-2012.

Claudia d’Amato graduated in Computer Science at the University of Bari on March 2003 with full marks and honors. After almost one year in a software company, she started her research activity in January 2004 winning a grant from the University of Bari for PhD students in Computer Science. She completed her PhD studies in January 2007 and defended the thesis “Similarity-based Learning Methods for the Semantic Web” on May 2007 receiving a full marks evaluation and also a nomination from the Italian Commission for the AI*IA award 2007 as one of the Best Italian PhD theses in Artificial Intelligence. Since April 2004 she is a research assistant at the University of Bari - Computer Science Department and she is investigating on the analysis and the application of Machine Learning (ML) methods to the Semantic Web (SW) domain. The results of the research activities have been applied in several regional, national and European research projects. Claudia d’Amato also collaborated/collaborates with international universities and research organizations. During January-June 2006, February-May 2007, February-April 2008, Claudia d’Amato was visiting researcher at the University of Koblenz- Landau (Germany). In June 2011, Claudia d’Amato was invited researcher at the University of Poznan (Poland). In March-April 2012 was invited researcher at the Fondazione Bruno Kessler, Trento (Italy).

The research activity of Claudia d’Amato has been disseminated in 13 journal articles, 8 book chapters, 37 articles in international collections, 18 articles in international workshop collections and 12 articles in national conferences and workshops collections. Claudia d’Amato has been also editor of 12 books/collections and 2 journal special issues. She has served the editorial board of international journals in the field such as the Semantic Web Journal and she has also served the program committee of more than 50 international conferences such as the International and the European Semantic Web Conference(ISWC, ESWC), the American, European and the International Conference on Artificial Intelligence (AAAI, ECAI, IJCAI), the International and the European Conference on ML (ICML, ECML). In 2008, Claudia d’Amato served as vice-Chair for ISWC and in 2012 as workshop and tutorial chair. She also served as ML track chair at ESWC 2012. Claudia d’Amato has also been organizer of the International Uncertainty Reasoning Workshop at ISWC (URSW 2011-10-09-08,-07) and the International Workshop on Inductive Reasoning and ML on the Semantic Web at ESWC (IRMLeS 2011,-10.-09). Her research activity also received the following credits: Best Paper at ACM SAC’10 - SWA Track for the paper “Recovering Uncertain Mappings through Structural Validation and Aggregation with the MoTo System” and Best best student paper at SEBD07 for the paper “Constraint Hardness for Modelling, Matching and Ranking Semantic Web services”. She has been also invited speaker at various international universities, seminars and conferences over the years.

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Editorial Advisory Board
  • Sven Abels, Ascora GmbH, Germany
  • Sören Auer, University of Leipzig, Germany
  • Nicola Fanizzi, Università degli studi di Bari "A. Moro," Italy
  • Chiara Ghidini, FBK-irst, Italy
  • Agnieszka Lawrynowicz, Institute of Computing Science, Poznan University of Technology, Poland
  • Jens Lehmann, University of Leipzig, Germany
  • Jochen Meyer, OFFIS - Institute for Information Technology, Germany
  • Kunal Patel, Ingenuity Systems, USA
  • Tassilo Pellegrini, University of Applied Sciences, Austria
  • Beatrix Perez-Valle, Universidad de La Rioja, Spain
  • Sebastian Rudolph, Institute of Applied Informatics and Formal Description Methods (AIFB), Germany
  • Thomas Scharrenbach, University of Zurich, Switzerland
  • Joannis Vlachakis, SOFD GmbH, Germany