A Case Study in Business Application Development Using Open Source and Semantic Web Technologies

2007 ◽  
pp. 721-724 ◽  
Author(s):  
I. Novicic ◽  
Z. Kokovic ◽  
N. Jakovljevic ◽  
V. Ljubicic ◽  
M. Bacetic ◽  
...  
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
Application Development ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Business Application

Weaving a Semantic Web Across OSS Repositories

2010 ◽  
Vol 2 (2) ◽  
pp. 29-40 ◽  
Author(s):  
Olivier Berger ◽  
Valentin Vlasceanu ◽  
Christian Bac ◽  
Quang Vu Dang ◽  
Stéphane Lauriere
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
Open Source Software ◽  
Software Projects ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Public Repositories ◽  
Libre Software ◽  
Research Initiatives ◽  
Open Source Communities

Several public repositories and archives of “facts” about libre software projects, maintained either by open source communities or by research communities, have been flourishing over the Web in recent years. These have enabled new analysis and support for new quality assurance tasks. This paper presents some complementary existing tools, projects and models proposed both by OSS actors or research initiatives that are likely to lead to useful future developments in terms of study of the FLOSS phenomenon, and also to the very practitioners in the FLOSS development projects. A goal of the research conducted within the HELIOS project is to address bugs traceability issues. In this regard, the authors investigate the potential of using Semantic Web technologies in navigating between many different bugtracker systems scattered all over the open source ecosystem. By using Semantic Web techniques, it is possible to interconnect the databases containing data about open-source software projects development, which enables OSS partakers to identify resources, annotate them, and further interlink those using dedicated properties and collectively designing a distributed semantic graph.

Mailing Lists and Social Semantic Web

2011 ◽  
pp. 1090-1104
Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Social Communities ◽  
Mailing Lists ◽  
Social Semantic Web ◽  
Open Source Communities

Electronic Mailing lists are a key part of the Internet. They have enabled the development of social communities who share and exchange knowledge in specialized and general domains. In this chapter the auhtors describe methods to capture some of that knowledge which will enable the development of new datasets using Semantic Web technologies. In particular, the authors present the SWAML project, which collects data from mailing lists. They also describe smushing techniques that normalize RDF datasets capturing different resources that identify the same one. They have applied those techniques to identify persons through the mailing lists of open source communities. These techniques have been tested using a dataset automatically extracted from several online open source communities.

Reconsidering Conventional Markup for Knowledge Representation

2009 ◽  
Author(s):  
David Dubin ◽  
David J. Birnbaum
Keyword(s):  
Semantic Web ◽  
Automated Reasoning ◽  
Description Logics ◽  
Manuscript Studies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Programming Tools ◽  
Textual Transmission ◽  
Main Attraction

The main attraction of semantic web technologies such as RDF and OWL over conventional markup is the support those tools provide for expressing precise semantics. Formal grounding for RDF-based languages (in, for example, description logics) and their integration with logic programming tools are guided and constrained by issues of decidability and the tractability of computations. Users of these technologies are invited to use less expressive representations, and thereby work within those constraints. Such compromises seem reasonable when considering the roles automated reasoning agents are expected to play by the semantic web community. But where expectations differ, it may be useful to reconsider using conventional markup and inferencing methods that have been applied with success despite their theoretical weaknesses. We illustrate these issues with a case study from manuscript studies and textual transmission.

scholarly journals Architecture of the Organic.Edunet Web Portal

2011 ◽  
pp. 759-773
Author(s):  
Nikos Manouselis ◽  
Kostas Kastrantas ◽  
Salvador Sanchez-Alonso ◽  
Jesús Cáceres ◽  
Hannes Ebner
Keyword(s):  
Semantic Web ◽  
Large Scale ◽  
Learning Resources ◽  
Web Portals ◽  
Web Portal ◽  
Semantic Web Technologies ◽  
Web Technologies

The use of Semantic Web technologies in educational Web portals has been reported to facilitate users’ search, access, and retrieval of learning resources. To achieve this, a number of different architectural components and services need to be harmonically combined and implemented. This article presents how this issue is dealt with in the context of a large-scale case study. More specifically, it describes the architecture behind the Organic.Edunet Web portal that aims to provide access to a federation of repositories with learning resources on agricultural topics. The various components of the architecture are presented and the supporting technologies are explained. In addition, the article focuses on how Semantic Web technologies are being adopted, specialized, and put in practice in order to facilitate ontology-aided sharing and reusing of learning resources.

scholarly journals A case study of data integration for aquatic resources using semantic web technologies

2015 ◽  
Author(s):  
Janice M. Gordon ◽  
Nina Chkhenkeli ◽  
David L. Govoni ◽  
Frances L. Lightsom ◽  
Andrea C. Ostroff ◽  
...  
Keyword(s):  
Semantic Web ◽  
Data Integration ◽  
Semantic Web Technologies ◽  
Aquatic Resources ◽  
Web Technologies

Mailing Lists and Social Semantic Web

2010 ◽  
pp. 335-349 ◽  
Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Social Communities ◽  
Mailing Lists ◽  
Social Semantic Web ◽  
Open Source Communities

Electronic Mailing lists are a key part of the Internet. They have enabled the development of social communities who share and exchange knowledge in specialized and general domains. In this chapter the auhtors describe methods to capture some of that knowledge which will enable the development of new datasets using Semantic Web technologies. In particular, the authors present the SWAML project, which collects data from mailing lists. They also describe smushing techniques that normalize RDF datasets capturing different resources that identify the same one. They have applied those techniques to identify persons through the mailing lists of open source communities. These techniques have been tested using a dataset automatically extracted from several online open source communities.

Mailing Lists and Social Semantic Web

2010 ◽  
pp. 42-56 ◽  
Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos
Keyword(s):  
Semantic Web ◽  
Open Source ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Social Communities ◽  
Mailing Lists ◽  
Social Semantic Web ◽  
Open Source Communities

Electronic Mailing lists are a key part of the Internet. They have enabled the development of social communities who share and exchange knowledge in specialized and general domains. In this chapter the authors describe methods to capture some of that knowledge which will enable the development of new datasets using Semantic Web technologies. In particular, the authors present the SWAML project, which collects data from mailing lists. The authors also describe smushing techniques that normalize RDF datasets capturing different resources that identify the same one. They have applied those techniques to identify persons through the mailing lists of open source communities. These techniques have been tested using a dataset automatically extracted from several online open source communities.

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