Proposed metrics for data accessibility in the context of linked open data

2016 ◽  
Vol 50 (2) ◽  
pp. 184-194
Author(s):  
Mahdi Zahedi Nooghabi ◽  
Akram Fathian Dastgerdi

Purpose – One of the most important categories in linked open data (LOD) quality models is “data accessibility.” The purpose of this paper is to propose some metrics and indicators for assessing data accessibility in LOD and the semantic web context. Design/methodology/approach – In this paper, at first the authors consider some data quality and LOD quality models to review proposed subcategories for data accessibility dimension in related texts. Then, based on goal question metric (GQM) approach, the authors specify the project goals, main issues and some questions. Finally, the authors propose some metrics for assessing the data accessibility in the context of the semantic web. Findings – Based on GQM approach, the authors determined three main issues for data accessibility, including data availability, data performance, and data security policy. Then the authors created four main questions related to these issues. As a conclusion, the authors proposed 27 metrics for measuring these questions. Originality/value – Nowadays, one of the main challenges regarding data quality is the lack of agreement on widespread quality metrics and practical instruments for evaluating quality. Accessibility is an important aspect of data quality. However, few researches have been done to provide metrics and indicators for assessing data accessibility in the context of the semantic web. So, in this research, the authors consider the data accessibility dimension and propose a comparatively comprehensive set of metrics.

2014 ◽  
Vol 32 (6) ◽  
pp. 834-851 ◽  
Author(s):  
Nikolaos Konstantinou ◽  
Dimitrios-Emmanuel Spanos ◽  
Nikos Houssos ◽  
Nikolaos Mitrou

Purpose – This paper aims to introduce a transformation engine which can be used to convert an existing institutional repository installation into a Linked Open Data repository. Design/methodology/approach – The authors describe how the data that exist in a DSpace repository can be semantically annotated to serve as a Semantic Web (meta)data repository. Findings – The authors present a non-intrusive, standards-compliant approach that can run alongside with current practices, while incorporating state-of-the art methodologies. Originality/value – Also, they propose a set of mappings between domain vocabularies that can be (re)used towards this goal, thus offering an approach that covers both the technical and semantic aspects of the procedure.


2018 ◽  
Vol 52 (7) ◽  
pp. 548-564
Author(s):  
Susanne Al-Eryani ◽  
Gudrun Bucher ◽  
Stefanie Rühle

Zusammenfassung Im Rahmen des DFG-geförderten Projekts „Entwicklung von interoperablen Standards für die Kontextualisierung heterogener Objekte am Beispiel der Provenienz Asch“ wurde ein Semantic Web und Linked Open Data fähiges Metadatenmodell entwickelt, das es ermöglicht, institutionsübergreifend Kulturerbe und dessen Provenienz zu kontextualisieren.


Knygotyra ◽  
2013 ◽  
Vol 61 ◽  
pp. 254-277
Author(s):  
MARIJANA TOMIĆ ◽  
MIRNA WILLER

Rankraščių rinkiniai – tai labai įvairaus pobūdžio rankraščiai, paprastai apibrėžiami kaip „ranka ant popieriaus arba pergamento užrašytas tekstas arba dokumentas“ (Peter Beal). Tai gali būti šeimos ar asmeniniai dokumentai, dienoraščiai, laiškai, archyvų rinkiniai ir kt. Viduramžių rankraščiai – kodeksai, žemėlapiai, muzikos kūriniai arba jų fragmentai – sudaro specialią rankraš­čių rūšį. Kaip ir inkunabulai, rankraščių rinkiniai yra vertingiausia bibliotekų paveldo dalis, dėl jų mus pasiekia itin daug informacijos apie viduramžių istoriją, kultūrą, literatūrą, socialinę istoriją, gyvenimo tendencijas. Be šių šaltinių informacija būtų dingusi. Senų ir retų rankraščių tyri­mai svarbūs tiek šalies, tiek visos Europos kultūros ir socialinei istorijai. Žvelgiant iš humanitarinių mokslų perspektyvos, būtina išskirti keletą veiksnių, kurie lėmė reikšmingus pokyčius tyrinėjant rankraščius ir pirmąsias spausdintines knygas. Pa­čiu svarbiausiu laikomas informacinių technologijų poveikis beveik visoms tyrimo sritims. Šie pokyčiai lėmė ir naujos disciplinos – skaitmeninių humanitarinių mokslų atsiradimą. Pasak Toby’o Burrowso, viduramžių tyrinėtojai yra „pažangiausi skaitmeninių technologi­jų taikymo humanitarinių mokslų tyrimuose atstovai“. Vis dėlto T. Burrowsas išskiria ir keletą keblumų, susijusių su interneto ir skaitmeninės bibliotekos paslaugomis. Jis nurodo „integracijos ir sąveikos tarp daugybės skirtingų interneto svetainių stygių“ bei terminolo­gijos nenuoseklumą taikant aprašomuosius standartus. Savo ruožtu tai sukelia probleminę situaciją, nes „tyrinėtojams visame pasaulyje kyla daug sunkumų rasti, naudotis ir dalytis žiniomis apie viduramžių rankraščių kolekcijas“. Visiškai pritariame T. Burrowso minčiai, kad šią problemą galima išspręsti sukuriant tarptautinę bendradarbiavimo infrastruktūrą, kuri leistų tvarkyti turinį ir tarpusavyje susijusias žinias. Mūsų nuomone, ši infrastuktūra gali būti įgyvendinta technologinėje semantinio žiniatinklio ir sujungtų atvirų duomenų (angl. Semantic Web and Linked Open Data) terpėje. Straipsnyje aptariami viduramžių rankraščių ir inkunabulų bei jų fragmentų tyrimai ir šių šal­tinių aprašymas kaip skaitmeninių humanitarinių mokslų projekto dalis, taikant šią naują tech­nologiją. Nagrinėjamas šios srities Kroatijos Zadaro universiteto Informacijos mokslų fakulteto vykdomas mokslinių tyrimų projektas. Projekto tikslas – atrinkti duomenų elementus, reikalingus tiksliam minėtų šaltinių aprašymui ir jų standartizavimui, naudojant senų ir retų knygų tyrinėtojų parengtas bibliografijos, kodikologijos, paleografijos bei tipografijos ontologijas.Straipsnyje pateikiamas ir trumpas technologinės semantinio tinklo infrastruktūros bei jo standartų įvadas. Detaliai aprašoma metodika, padedanti paskelbti pasirinktą žodyną kaip vieną iš metaduomenų registro paslaugų. Pateikiamas sujungtų atvirų duomenų paskelbimo pavyzdys – pri­statatomas grafikas, vaizduojantis iš dalies rekonstruoto rankraščio fragmento aprašymą. Kadangi visos minėtos disciplinos naudoja savo žodynus ir ontologijas, straipsnio autorės siūlo orientuotis ne į vieno bendro žodyno naudojimą, o į atitinkamų terminų sąsajų projektavimą vadovaujantis SKOS taisyklėmis. Taip būtų kuriami būsimos tarptautinės bendradarbiavimo struktūros pagrindai.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hsin-Chang Yang ◽  
Chung-Hong Lee ◽  
Wen-Sheng Liao

PurposeMeasuring the similarity between two resources is considered difficult due to a lack of reliable information and a wide variety of available information regarding the resources. Many approaches have been devised to tackle such difficulty. Although content-based approaches, which adopted resource-related data in comparing resources, played a major role in similarity measurement methodology, the lack of semantic insight on the data may leave these approaches imperfect. The purpose of this paper is to incorporate data semantics into the measuring process.Design/methodology/approachThe emerged linked open data (LOD) provide a practical solution to tackle such difficulty. Common methodologies consuming LOD mainly focused on using link attributes that provide some sort of semantic relations between data. In this work, methods for measuring semantic distances between resources using information gathered from LOD were proposed. Such distances were then applied to music recommendation, focusing on the effect of various weight and level settings.FindingsThis work conducted experiments using the MusicBrainz dataset and evaluated the proposed schemes for the plausibility of LOD on music recommendation. The experimental result shows that the proposed methods electively improved classic approaches for both linked data semantic distance (LDSD) and PathSim methods by 47 and 9.7%, respectively.Originality/valueThe main contribution of this work is to develop novel schemes for incorporating knowledge from LOD. Two types of knowledge, namely attribute and path, were derived and incorporated into similarity measurements. Such knowledge may reflect the relationships between resources in a semantic manner since the links in LOD carry much semantic information regarding connecting resources.


2017 ◽  
Vol 35 (1) ◽  
pp. 159-178
Author(s):  
Timothy W. Cole ◽  
Myung-Ja K. Han ◽  
Maria Janina Sarol ◽  
Monika Biel ◽  
David Maus

Purpose Early Modern emblem books are primary sources for scholars studying the European Renaissance. Linked Open Data (LOD) is an approach for organizing and modeling information in a data-centric manner compatible with the emerging Semantic Web. The purpose of this paper is to examine ways in which LOD methods can be applied to facilitate emblem resource discovery, better reveal the structure and connectedness of digitized emblem resources, and enhance scholar interactions with digitized emblem resources. Design/methodology/approach This research encompasses an analysis of the existing XML-based Spine (emblem-specific) metadata schema; the design of a new, domain-specific, Resource Description Framework compatible ontology; the mapping and transformation of metadata from Spine to both the new ontology and (separately) to the pre-existing Schema.org ontology; and the (experimental) modification of the Emblematica Online portal as a proof of concept to illustrate enhancements supported by LOD. Findings LOD is viable as an approach for facilitating discovery and enhancing the value to scholars of digitized emblem books; however, metadata must first be enriched with additional uniform resource identifiers and the workflow upgrades required to normalize and transform existing emblem metadata are substantial and still to be fully worked out. Practical implications The research described demonstrates the feasibility of transforming existing, special collections metadata to LOD. Although considerable work and further study will be required, preliminary findings suggest potential benefits of LOD for both users and libraries. Originality/value This research is unique in the context of emblem studies and adds to the emerging body of work examining the application of LOD best practices to library special collections.


2014 ◽  
Vol 48 (1) ◽  
pp. 16-40 ◽  
Author(s):  
Nelson Piedra ◽  
Edmundo Tovar ◽  
Ricardo Colomo-Palacios ◽  
Jorge Lopez-Vargas ◽  
Janneth Alexandra Chicaiza

Purpose – The aim of this paper is to present an initiative to apply the principles of Linked Data to enhance the search and discovery of OpenCourseWare (OCW) contents created and shared by the universities. Design/methodology/approach – This paper is a case study of how linked data technologies can be applied for the enhancement of open learning contents. Findings – Results presented under the umbrella of OCW-Universia consortium, as the integration and access to content from different repositories OCW and the development of a query method to access these data, reveal that linked data would offer a solution to filter and select semantically those open educational contents, and automatically are linked to the linked open data cloud. Originality/value – The new OCW-Universia integration with linked data adds new features to the initial framework including improved query mechanisms and interoperability.


2020 ◽  
Vol 6 (1) ◽  
pp. 312-423
Author(s):  
Fabian Würtz

Eine Kernaufgabe der Archive ist die Erschliessung des Archivguts. Bisher wurden Archivbestände meist als hierarchische und isolierte Einheiten verzeichnet. Die zunehmende Digitalisierung, neue Fachbereiche wie die Digital Humanities oder Entwicklungen wie das Semantic Web bzw. Linked Open Data haben jedoch neue Ideen in die Archivwelt getragen. Einer der deutlichsten Vorboten dieser neuen Welt ist Records in Context (RiC). Der neue Verzeichnungsstandard des wichtigen International Council on Archives (ICA) ist konzeptionell auf Linked Open Data und das Semantic Web ausgerichtet. Doch was bedeutet es für die Archive, wenn aus den bisher isolierten Beständen verlinkte und maschinenlesbare Netzwerke entstehen sollen? Wie sollen archivalische Metadaten und Datenmodelle in Linked Open Data aussehen und an welche Qualitätsansprüche sollen diese neu berücksichtigen?Um diese Fragen zu beantworten hat die Arbeit das Konzept und die Technologien die Linked Open Data zugrunde liegen vorgestellt. Danach wurden Qualitätsmerkmale für Linked Open Data zusammengetragen und der momentane Stand von Linked Open Data im Archivbereich beleuchtet. Dabei wurde unter anderem bereits existierende Ansätze und Anwendungen aus dem Archivbereich vorgestellt und mit den Qualitätsmerkmalen verglichen. Die Überprüfung der Praxistauglichkeit der Qualitätsmerkmale erfolgte am Fallbeispiel der Metadaten des Schweizerischen Sozialarchivs.Auf Basis der erarbeitenden Resultate spricht die Arbeit eine Reihe von Empfehlungen aus. Diese richten sich an Archive, die sich mit dem Thema Linked Open Data beschäftigen oder eine Anwendung in diesem Bereich planen.


2019 ◽  
Vol 19 (01) ◽  
pp. e05
Author(s):  
Marcos daniel Zarate ◽  
Carlos Buckle ◽  
Renato Mazzanti ◽  
Gustavo Samec

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


Author(s):  
Cecilia Avila-Garzon

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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