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

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.

2010 ◽  
pp. 335-349 ◽  
Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos

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.


Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos

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.


2010 ◽  
Vol 2 (2) ◽  
pp. 29-40 ◽  
Author(s):  
Olivier Berger ◽  
Valentin Vlasceanu ◽  
Christian Bac ◽  
Quang Vu Dang ◽  
Stéphane Lauriere

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.


Author(s):  
Leila Zemmouchi-Ghomari

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.


Author(s):  
Sharon Q. Yang ◽  
Amanda Xu

The main contributions of the chapter are 1) defining relevance challenge of CRM for U.S. academic libraries in the 21st century and applying social Semantic Web technologies to address the relevance challenge of CRM using 121 e-Agent framework in the Web as an infrastructure; 2) binding OLTP, OLAP, and Online Ontological Processing to social Semantic Web applications in CRM; 3) adding trust management to the linked data layer with a touch of tagging, categorizing, query log analysis, and social ranking as part of the underlying structure for distributed customer data filtering on the Web in CRM applications; 4) making the approach extensible to address relevance challenge of CRM in other fields.


2021 ◽  
Author(s):  
Gillian Byrne ◽  
Lisa Goddard

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure to determine whether semantic technologies are sufficiently mature for non–expert use, and to identify some of the obstacles to global Linked Data implementation.


Author(s):  
Ismail Nadim ◽  
Yassine El ghayam ◽  
Abdelalim Sadiq

<p class="western" style="margin-top: 0.21cm; margin-bottom: 0cm;" lang="en-US" align="justify"><span style="color: #000000;"><span style="font-size: small;">Information and communication technologies (ICT) know a significant development especially in terms of hardware miniaturization, cost reduction and energy consumption optimization. This advancement enables the interconnection of a large number of physical objects namely using the Internet, forming what is called the Internet of Things (IoT). The IoT provides the opportunity to interact with these objects through sensors, actuators and smart applications which may help users in several areas such as transport, logistics, health care, agriculture, etc. However, building the IoT requires a strong interoperability between thousands of heterogeneous devices and services. In this context, the SWoT (Semantic Web of Things) uses semantic Web technologies to enrich these devices and services with semantic annotations which enables the semantic interoperability. However, the development of SWOT-based systems on a large scale faces many challenges especially due to the large number of devices and services, their geographical distribution as well as their mobility. These challenges - which may affect the system performance as a whole - require innovative industry and research efforts. The current paper proposes a SWoT framework architecture that take into account the main SWoT challenges.</span></span></p>


Author(s):  
Torsten Priebe

The goal of this chapter is to show how Semantic Web technologies can help build integrative enterprise knowledge portals. Three main areas are identified: content management and metadata, global searching, and the integration of external content and applications. For these three areas the state-of-the-art as well as current research results are discussed. In particular, a metadata-based information retrieval and a context-based port let integration approach are presented. These have been implemented in a research prototype which is introduced in the Internet session at the end of the chapter.


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