scholarly journals Records in contexts: the road of archives to semantic interoperability

2017 ◽  
Vol 51 (4) ◽  
pp. 387-405 ◽  
Author(s):  
Dunia Llanes-Padrón ◽  
Juan-Antonio Pastor-Sánchez
Keyword(s):  
Semantic Web ◽  
Conceptual Model ◽  
Semantic Interoperability ◽  
Data Sets ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Web Technologies ◽  
The Road ◽  
Owl Ontology

Purpose The purpose of this paper is to examine the Records in Contexts proposal of a conceptual model (RiC-CM) from the International Council on Archives’ (ICA) archival description and to propose an OWL ontology for its implementation in the semantic web. Design/methodology/approach The various elements of the model are studied and are related to earlier norms in order to understand their structure and the modeling of the ontology. Findings The analysis reveals the integrating nature of RiC-CM and the possibilities it offers for greater interoperability of data from archival descriptions. Two versions of an OWL ontology were developed to represent the conceptual model. The first makes a direct transposition of the conceptual model; the second optimizes the properties and relations in order to simplify the use and maintenance of the ontology. Research limitations/implications The proposed ontology will follow the considerations of the final version of the ICA’s RiC-CM. Practical implications The analysis affords an understanding of the role of RiC-CM in publishing online archival data sets, while the ontology is an initial approach to the semantic web technologies involved. Originality/value This paper offers an overview of Records in Contexts with respect to the advantages in the field of semantic interoperability, and supposes the first proposal of an ontology based on the conceptual model.

Open Taiwan Government data recommendation platform using DBpedia and Semantic Web based on cloud computing

2019 ◽  
Vol 15 (2) ◽  
pp. 236-254
Author(s):  
I-Cheng Chen ◽  
I-Ching Hsu
Keyword(s):  
Cloud Computing ◽  
Semantic Web ◽  
Cluster Model ◽  
Data Sets ◽  
Query Interface ◽  
Semantic Web Technologies ◽  
Cloud Computing Environment ◽  
Content Type ◽  
Web Technologies ◽  
Government Data

Purpose In recent years, governments around the world are actively promoting the Open Government Data (OGD) to facilitate reusing open data and developing information applications. Currently, there are more than 35,000 data sets available on the Taiwan OGD website. However, the existing Taiwan OGD website only provides keyword queries and lacks a friendly query interface. This study aims to address these issues by defining a DBpedia cloud computing framework (DCCF) for integrating DBpedia with Semantic Web technologies into Spark cluster cloud computing environment. Design/methodology/approach The proposed DCCF is used to develop a Taiwan OGD recommendation platform (TOGDRP) that provides a friendly query interface to automatically filter out the relevant data sets and visualize relationships between these data sets. Findings To demonstrate the feasibility of TOGDRP, the experimental results illustrate the efficiency of the different cloud computing models, including Hadoop YARN cluster model, Spark standalone cluster model and Spark YARN cluster model. Originality/value The novel solution proposed in this study is a hybrid approach for integrating Semantic Web technologies into Hadoop and Spark cloud computing environment to provide OGD data sets recommendation.

Extraction, analysis and publication of bibliographical references within an institutional repository

2016 ◽  
Vol 34 (2) ◽  
pp. 259-267 ◽  
Author(s):  
Götz Hatop
Keyword(s):  
Semantic Web ◽  
Citation Analysis ◽  
Open Source Software ◽  
Linked Data ◽  
Software Components ◽  
Institutional Repository ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Web Technologies ◽  
Reference Information

Purpose – The academic tradition of adding a reference section with references to cited and otherwise related academic material to an article provides a natural starting point for finding links to other publications. These links can then be published as linked data. Natural language processing technologies are available today that can perform the task of bibliographical reference extraction from text. Publishing references by the means of semantic web technologies is a prerequisite for a broader study and analysis of citations and thus can help to improve academic communication in a general sense. The paper aims to discuss these issues. Design/methodology/approach – This paper examines the overall workflow required to extract, analyze and semantically publish bibliographical references within an Institutional Repository with the help of open source software components. Findings – A publication infrastructure where references are available for software agents would enable additional benefits like citation analysis, e.g. the collection of citations of a known paper and the investigation of citation sentiment.The publication of reference information as demonstrated in this article is possible with existing semantic web technologies based on established ontologies and open source software components. Research limitations/implications – Only a limited number of metadata extraction programs have been considered for performance evaluation and reference extraction was tested for journal articles only, whereas Institutional Repositories usually do contain a large number of other material like monographs. Also, citation analysis is in an experimental state and citation sentiment is currently not published at all. For future work, the problem of distributing reference information between repositories is an important problem that needs to be tackled. Originality/value – Publishing reference information as linked data are new within the academic publishing domain.

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.

Construction of XBRL Semantic Metamodel and Knowledge Base Based on Ontology

2014 ◽  
Vol 571-572 ◽  
pp. 1119-1128
Author(s):  
Wen Li Wang ◽  
Min Huang ◽  
Ying Wang
Keyword(s):  
Semantic Web ◽  
Knowledge Base ◽  
Financial Reporting ◽  
Semantic Information ◽  
Semantic Web Technologies ◽  
Semantic Level ◽  
Web Technologies ◽  
Translation Mechanism ◽  
Owl Ontology

In order to improve the interoperability of XBRL format financial reporting on the semantic level, a novel XBRL financial reporting metamodel and a fact data semantic metamodel are proposed, which uses the Semantic Web technologies and Ontology theory. Then, a XBRL knowledge base is constructed based on this metamodel .Using the metamodel-based translation mechanism from XBRL to OWL / RDF, all the semantic information in XBRL taxonomy and instance documents is translated into OWL ontology and RDF instance. Finally, a knowledge base covering the semantic information of financial reporting domain is constructed.

Utilizing Semantic Web and Software Agents in a Travel Support System

2009 ◽  
pp. 2466-2494 ◽  
Author(s):  
Maria Ganzha ◽  
Maciej Gawinecki ◽  
Marcin Paprzucki ◽  
Rafal Gasiorowski ◽  
Szymon Pisarek ◽  
...  
Keyword(s):  
Semantic Web ◽  
Support System ◽  
Software Agents ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Agent Based ◽  
Web Technologies ◽  
The Road ◽  
On The Road

The use of Semantic Web technologies in e-business is hampered by the lack of large, publiclyavailable sources of semantically-demarcated data. In this chapter, we present a number of intermediate steps on the road toward the Semantic Web. Specifically, we discuss how Semantic Web technologies can be adapted as the centerpiece of an agent-based travel support system. First, we present a complete description of the system under development. Second, we introduce ontologies developed for, and utilized in, our system. Finally, we discuss and illustrate through examples how ontologically demarcated data collected in our system is personalized for individual users. In particular, we show how the proposed ontologies can be used to create, manage, and deploy functional user profiles.

Utilizing Semantic Web and Software Agents in a Travel Support System

2007 ◽  
pp. 325-359 ◽  
Author(s):  
Maria Ganzha ◽  
Maciej Gawinecki ◽  
Marcin Paprzycki ◽  
Rafal Gasiorowski ◽  
Szymon Pisarek ◽  
...  
Keyword(s):  
Semantic Web ◽  
Support System ◽  
Software Agents ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Agent Based ◽  
Web Technologies ◽  
The Road ◽  
On The Road

The use of Semantic Web technologies in e-business is hampered by the lack of large, publicly-available sources of semantically-demarcated data. In this chapter, we present a number of intermediate steps on the road toward the Semantic Web. Specifically, we discuss how Semantic Web technologies can be adapted as the centerpiece of an agent-based travel support system. First, we present a complete description of the system under development. Second, we introduce ontologies developed for, and utilized in, our system. Finally, we discuss and illustrate through examples how ontologically demarcated data collected in our system is personalized for individual users. In particular, we show how the proposed ontologies can be used to create, manage, and deploy functional user profiles.

Semantic Web and ontology-based applications for digital libraries

2018 ◽  
Vol 36 (5) ◽  
pp. 826-841 ◽  
Author(s):  
Shakeel Ahmad Khan ◽  
Rubina Bhatti
Keyword(s):  
Semantic Web ◽  
Digital Library ◽  
Digital Libraries ◽  
Information Needs ◽  
Web Applications ◽  
Library Services ◽  
Semantic Web Technologies ◽  
Content Type ◽  
Web Technologies ◽  
Practical Implications

Purpose The purpose of this paper is to explore useful Semantic Web technologies and ontology-based applications for digital libraries. It also investigates the perceptions of university librarians and academicians in Pakistan about Semantic Web technologies and their use in digital libraries. Design/methodology/approach An exploratory research design based on Delphi research strategy was conducted to answer the research questions. Interviews were conducted with a purposive sample of 50 key informants including university librarians and academicians to explore their perceptions about Semantic Web technologies and their use in digital libraries. Thematic analysis of interview data was conducted to obtain results. Findings The results of this paper showed that DuraCloud, Semantic information mashup, OntoEdit and resource description framework (RDF) are the various Semantic Web applications which are useful for digital libraries to develop semantic relationships among digital contents and increase their accessibility in the web environment. Findings revealed that Semantic Web provides precise results and meets user information needs in an effective way. Results also showed that next-generation digital libraries use context-awareness technology, intelligent agent software and detecting sensors to analyze user information needs and provide dynamic information services. This paper recommended that librarians should embrace the use of emerging web technologies in libraries and offer library services through the medium of the web. Practical implications This paper envisaged the future of digital library services and Semantic Web applications that can be used to re-structure metadata of digital library. This paper has practical implications for librarians to consider the useful applications of Semantic Web for digital library and enhance the interoperability of metadata among heterogeneous information systems. Practically, results obtained from this paper are highly useful for library schools and LIS teachers to up-date their curriculum by incorporating new contents related to web languages and Semantic Web applications for digital libraries. Originality/value This paper identifies various Semantic Web applications which are useful for developing Semantic Digital Libraries.

Architecture of Enterprise Information Systems Based on the Semantic Web Technologies

2016 ◽  
Vol 685 ◽  
pp. 843-846 ◽  
Author(s):  
I.A. Zaikin ◽  
Anatoliy Tuzovskiy ◽  
V.Z. Yampolskiy
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Semantic Technologies ◽  
Design And Development ◽  
Enterprise Information ◽  
Semantic Web Technologies ◽  
Enterprise Information Systems ◽  
Web Technologies ◽  
Software Engineers

The role of systems based on Semantic Web technologies is rising. Today there is a big set of tools to use semantic technologies. However, to date there were no recommendations given about architecture of information systems based on ontologies and Semantic Web technologies. Such architecture is suggested in the article. This architecture is intended for software engineers interested in design and development of such information systems.

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