Proposal to represent the UNESCO thesaurus for the semantic web applying ISO-25964

This paper shows how has been applied ISO-25964 standard to represent the UNESCO thesaurus through semantic web technologies. Based on the works done by the UNESKOS project, has been analyzed the joint use of SKOS and ISO THES ontologies to represent thesauri according to the data model of the ISO-25964 standard. The result has been an RDF dataset, accessible as Linked Open Data, using SKOS and ISO-THES with the properties of a vocabulary developed in the context of UNESKOS project. The conclusions point, among other aspects, a review of SKOS and adoption of appropriate technologies that facilitate the development of future works and research lines focused on the alignment of vocabularies

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Applications, Methodologies, and Technologies for Linked Open Data

International Journal on Semantic Web and Information Systems ◽

10.4018/ijswis.2020070104 ◽

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.

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Application of Semantic Web Technologies for creating Linked Open Data in Information Retrieval

Library Herald ◽

10.5958/0976-2469.2018.00006.4 ◽

2018 ◽

Vol 56 (1) ◽

pp. 55

Author(s):

Nirupama R. Warrier ◽

J Shivarama

Keyword(s):

Information Retrieval ◽

Semantic Web ◽

Open Data ◽

Linked Open Data ◽

Semantic Web Technologies ◽

Web Technologies

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A Shape Expression approach for assessing the quality of Linked Open Data in libraries

Semantic Web ◽

10.3233/sw-210441 ◽

2021 ◽

pp. 1-21

Author(s):

Gustavo Candela ◽

Pilar Escobar ◽

María Dolores Sáez ◽

Manuel Marco-Such

Keyword(s):

Semantic Web ◽

Cultural Heritage ◽

Open Data ◽

Linked Open Data ◽

Use Cases ◽

Crucial Aspect ◽

Semantic Web Technologies ◽

Web Technologies

Cultural heritage institutions are exploring Semantic Web technologies to publish and enrich their catalogues. Several initiatives, such as Labs, are based on the creative and innovative reuse of the materials published by cultural heritage institutions. In this way, quality has become a crucial aspect to identify and reuse a dataset for research. In this article, we propose a methodology to create Shape Expressions definitions in order to validate LOD datasets published by libraries. The methodology was then applied to four use cases based on datasets published by relevant institutions. It intends to encourage institutions to use ShEx to validate LOD datasets as well as to promote the reuse of LOD, made openly available by libraries.

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

Cases on Open-Linked Data and Semantic Web Applications ◽

10.4018/978-1-4666-2827-4.ch006 ◽

2013 ◽

pp. 105-131 ◽

Cited By ~ 3

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.

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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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Improving Open Science Using Linked Open Data: CONICET Digital Use Case

Journal of Computer Science and Technology ◽

10.24215/16666038.19.e05 ◽

2019 ◽

Vol 19 (01) ◽

pp. e05

Author(s):

Marcos daniel Zarate ◽

Carlos Buckle ◽

Renato Mazzanti ◽

Gustavo Samec

Keyword(s):

Semantic Web ◽

Linked Data ◽

Open Data ◽

Scientific Publication ◽

Open Science ◽

Linked Open Data ◽

Scientific Publications ◽

Semantic Web Technologies ◽

Web Standards ◽

Methodological Guidelines

Scientific publication services are changing drastically, researchers demand intelligent search services to discover and relate scientific publications. Publishersneed to incorporate semantic information to better organize their digital assets and make publications more discoverable. In this paper, we present the on-going work to publish a subset of scientific publications of CONICET Digital as Linked Open Data. The objective of this work is to improve the recovery andreuse of data through Semantic Web technologies and Linked Data in the domain of scientific publications.To achieve these goals, Semantic Web standards and reference RDF schema’s have been taken into account (Dublin Core, FOAF, VoID, etc.). The conversion and publication process is guided by the methodological guidelines for publishing government linked data. We also outline how these data can be linked to other datasets DBLP, WIKIDATA and DBPEDIA on the web of data. Finally, we show some examples of queries that answer questions that initially CONICET Digital does not allow

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