Large-Scale Benchmarking of the OWL Interoperability of Semantic Web Technologies

2012 ◽

pp. 705-724

Author(s):

José Manuel Gómez-Pérez ◽

Víctor Méndez

Keyword(s):

Semantic Web ◽

Large Scale ◽

Formal Model ◽

Scale Transformation ◽

Pharmaceutical Sector ◽

Semantic Web Technologies ◽

Web Technologies ◽

Business Transactions ◽

Reference Implementation ◽

Semantic Hub

Since the use of electronic invoicing in business transactions was approved by the EU back in 2002, its application in Europe has grown considerably. However, despite the existence of standards like EDIFACT or UBL, widespread take up of electronic invoicing has been hindered by the enormous heterogeneity of proprietary solutions. In this chapter, the authors present an approach towards addressing the interoperability problem in electronic invoice exchange, based on ontologies and Semantic Web technologies. The authors propose methods and provide usable tools that leverage the knowledge of users of electronic invoicing systems by empowering them to define correspondences between sample electronic invoice data and a formal model of electronic invoicing represented as networked ontologies. The chapter follows a learn-by-example approach where, based on such correspondences, networked ontologies serve as a semantic hub for large-scale transformation of e-invoice data between heterogeneous e-invoicing formats and models. The approach has been evaluated through the development of a reference implementation and its deployment in the pharmaceutical sector.

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OpenCitations, an infrastructure organization for open scholarship

Quantitative Science Studies ◽

10.1162/qss_a_00023 ◽

2020 ◽

Vol 1 (1) ◽

pp. 428-444 ◽

Cited By ~ 11

Author(s):

Silvio Peroni ◽

David Shotton

Keyword(s):

Semantic Web ◽

Large Scale ◽

Open Data ◽

Data Sets ◽

Citation Data ◽

Semantic Web Technologies ◽

Web Technologies ◽

Creative Commons ◽

Citation Indexes ◽

Description Framework

OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies, thereby providing a disruptive alternative to traditional proprietary citation indexes. Open citation data are valuable for bibliometric analysis, increasing the reproducibility of large-scale analyses by enabling publication of the source data. Following brief introductions to the development and benefits of open scholarship and to Semantic Web technologies, this paper describes OpenCitations and its data sets, tools, services, and activities. These include the OpenCitations Data Model; the SPAR (Semantic Publishing and Referencing) Ontologies; OpenCitations’ open software of generic applicability for searching, browsing, and providing REST APIs over resource description framework (RDF) triplestores; Open Citation Identifiers (OCIs) and the OpenCitations OCI Resolution Service; the OpenCitations Corpus (OCC), a database of open downloadable bibliographic and citation data made available in RDF under a Creative Commons public domain dedication; and the OpenCitations Indexes of open citation data, of which the first and largest is COCI, the OpenCitations Index of Crossref Open DOI-to-DOI Citations, which currently contains over 624 million bibliographic citations and is receiving considerable usage by the scholarly community.

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Towards a semantic web of things framework

IAES International Journal of Artificial Intelligence (IJ-AI) ◽

10.11591/ijai.v8.i4.pp443-450 ◽

2019 ◽

Vol 8 (4) ◽

pp. 443

Author(s):

Ismail Nadim ◽

Yassine El ghayam ◽

Abdelalim Sadiq

Keyword(s):

Semantic Web ◽

Information And Communication Technologies ◽

Large Scale ◽

Communication Technologies ◽

The Internet ◽

Semantic Web Technologies ◽

Web Of Things ◽

Web Technologies ◽

Energy Consumption Optimization ◽

Information And Communication

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.

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Will Graph Data Management Techniques Contribute to the Successful Large-Scale Deployment of Semantic Web Technologies?

2012 IEEE 28th International Conference on Data Engineering Workshops ◽

10.1109/icdew.2012.76 ◽

2012 ◽

Author(s):

Philippe Cudre-Mauroux

Keyword(s):

Semantic Web ◽

Data Management ◽

Large Scale ◽

Semantic Web Technologies ◽

Graph Data ◽

Web Technologies ◽

Management Techniques ◽

Graph Data Management

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Architecture of the Organic.Edunet Web Portal

Web Technologies ◽

10.4018/978-1-60566-982-3.ch041 ◽

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.

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Architecture of the Organic.Edunet Web Portal

New Generation of Portal Software and Engineering ◽

10.4018/978-1-60960-571-1.ch005 ◽

2011 ◽

pp. 54-69

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.

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