scholarly journals Piveau: A Large-Scale Open Data Management Platform Based on Semantic Web Technologies

2020 ◽  
pp. 648-664
Author(s):  
Fabian Kirstein ◽  
Kyriakos Stefanidis ◽  
Benjamin Dittwald ◽  
Simon Dutkowski ◽  
Sebastian Urbanek ◽  
...  
Keyword(s):  
Semantic Web ◽  
Data Management ◽  
Large Scale ◽  
Open Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Management Platform ◽  
Data Management Platform

scholarly journals OpenCitations, an infrastructure organization for open scholarship

2020 ◽  
Vol 1 (1) ◽  
pp. 428-444 ◽  
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.

Enabling the Matchmaking of Organizations and Public Procurement Notices by Means of Linked Open Data

2013 ◽  
pp. 105-131 ◽  
Author(s):  
Jose María Alvarez Rodríguez ◽  
José Emilio Labra Gayo ◽  
Patricia Ordoñez de Pablos
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Public Procurement ◽  
Open Data ◽  
Specific Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Domain Specific ◽  
The Status ◽  
Financial Transactions

The aim of this chapter is to present a proposal and a case study to describe the information about organizations in a standard way using the Linked Data approach. Several models and ontologies have been provided in order to formalize the data, structure and behaviour of organizations. Nevertheless, these tries have not been fully accepted due to some factors: (1) missing pieces to define the status of the organization; (2) tangled parts to specify the structure (concepts and relations) between the elements of the organization; 3) lack of text properties, and other factors. These divergences imply a set of incomplete approaches to formalize data and information about organizations. Taking into account the current trends of applying semantic web technologies and linked data to formalize, aggregate, and share domain specific information, a new model for organizations taking advantage of these initiatives is required in order to overcome existing barriers and exploit the corporate information in a standard way. This work is especially relevant in some senses to: (1) unify existing models to provide a common specification; (2) apply semantic web technologies and the Linked Data approach; (3) provide access to the information via standard protocols, and (4) offer new services that can exploit this information to trace the evolution and behaviour of the organization over time. Finally, this work is interesting to improve the clarity and transparency of some scenarios in which organizations play a key role, like e-procurement, e-health, or financial transactions.

Towards Supporting Interoperability in e-Invoicing Based on 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.

scholarly journals Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search

2020 ◽  
Vol 39 (3) ◽  
pp. 595-602
Author(s):  
Aatif Ahmad Khan ◽  
Sanjay Kumar Malik
Keyword(s):  
Domain Knowledge ◽  
Large Scale ◽  
Open Data ◽  
Knowledge Bases ◽  
Semantic Search ◽  
Semantic Web Technologies ◽  
Data Format ◽  
Web Technologies ◽  
Cross Domain ◽  
Description Framework

Semantic Search refers to set of approaches dealing with usage of Semantic Web technologies for information retrieval in order to make the process machine understandable and fetch precise results. Knowledge Bases (KB) act as the backbone for semantic search approaches to provide machine interpretable information for query processing and retrieval of results. These KB include Resource Description Framework (RDF) datasets and populated ontologies. In this paper, an assessment of the largest cross-domain KB is presented that are exploited in large scale semantic search and are freely available on Linked Open Data Cloud. Analysis of these datasets is a prerequisite for modeling effective semantic search approaches because of their suitability for particular applications. Only the large scale, cross-domain datasets are considered, which are having sizes more than 10 million RDF triples. Survey of sizes of the datasets in triples count has been depicted along with triples data format(s) supported by them, which is quite significant to develop effective semantic search models.

Applications, Methodologies, and Technologies for Linked Open Data

2020 ◽  
Vol 16 (3) ◽  
pp. 53-69
Author(s):  
Cecilia Avila-Garzon
Keyword(s):  
Semantic Web ◽  
Open Data ◽  
Linked Open Data ◽  
Business Culture ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Wide Range ◽  
Research And Education ◽  
User Friendly ◽  
Culture Education

Advances in semantic web technologies have rocketed the volume of linked data published on the web. In this regard, linked open data (LOD) has long been a topic of great interest in a wide range of fields (e.g. open government, business, culture, education, etc.). This article reports the results of a systematic literature review on LOD. 250 articles were reviewed for providing a general overview of the current applications, technologies, and methodologies for LOD. The main findings include: i) most of the studies conducted so far focus on the use of semantic web technologies and tools applied to contexts such as biology, social sciences, libraries, research, and education; ii) there is a lack of research with regard to a standardized methodology for managing LOD; and iii) a plenty of tools can be used for managing LOD, but most of them lack of user-friendly interfaces for querying datasets.

Computational Chemistry Data Management Platform Based on the Semantic Web

2016 ◽  
Vol 121 (1) ◽  
pp. 298-307 ◽  
Author(s):  
Bing Wang ◽  
Paul A. Dobosh ◽  
Stuart Chalk ◽  
Mirek Sopek ◽  
Neil S. Ostlund
Keyword(s):  
Semantic Web ◽  
Data Management ◽  
Computational Chemistry ◽  
Management Platform ◽  
Chemistry Data ◽  
Data Management Platform
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