413,627 research outputs found
An Approach to Publish Scientific Data of Open-Access Journals Using Linked Data Technologies
Semantic Web encourages digital libraries, including open access journals, to collect, link and share their data across the Web in order to ease its processing by machines and humans to get better queries and results. Linked Data technologies enable connecting related data across the Web using the principles and recommendations set out by Tim Berners-Lee in 2006. Several universities develop knowledge through scholarship and research with open access policies for the generated knowledge, using several ways to disseminate information. Open access journals collect, preserve and publish scientific information in digital form related to a particular academic discipline in a peer review process having a big potential for exchanging and spreading their data linked to external resources using Linked Data technologies. Linked Data can increase those benefits with better queries about the resources and their relationships. This paper reports a process for publishing scientific data on the Web using Linked Data technologies. Furthermore, methodological guidelines are presented with related activities. The proposed process was applied extracting data from a university Open Journal System and publishing in a SPARQL endpoint using the open source edition of OpenLink Virtuoso. In this process, the use of open standards facilitates the creation, development and exploitation of knowledge.This research has been partially supported by the Prometeo project by SENESCYT, Ecuadorian Government and by CEDIA (Consorcio Ecuatoriano para el Desarrollo de Internet Avanzado) supporting the project: “Platform for publishing library bibliographic resources using Linked Data technologies”
Collaborative Open Data versioning: a pragmatic approach using Linked Data
Most Open Government Data initiatives are centralised and unidirectional (i.e., they release data dumps in CSV or PDF format). Hence for non trivial applications reusers make copies of the government datasets to curate their local data copy. This situation is not optimal as it leads to duplication of efforts and reduces the possibility of sharing improvements. To improve the usefulness of publishing open data, several authors recommeded to use standard formats and data versioning. Here we focus on publishing versioned open linked data (i.e., in RDF format) because they allow one party to annotate data released independently by another party thus reducing the need to duplicate entire datasets. After describing a pipeline to open up legacy-databases data in RDF format, we argue that RDF is suitable to implement a scalable feedback channel, and we investigate what steps are needed to implement a distributed RDFversioning system in production
An Approach to Publish Statistics from Open-Access Journals Using Linked Data Technologies
Semantic Web encourages digital libraries which include open access journals, to collect, link and share their data across the web in order to ease its processing by machines and humans to get better queries and results. Linked Data technologies enable connecting structured data across the web using the principles and recommendations set out by Tim Berners-Lee in 2006. Several universities develop knowledge, through scholarship and research, under open access policies and use several ways to disseminate information. Open access journals collect, preserve and publish scientific information in digital form using a peer review process. The evaluation of the usage of this kind of publications needs to be expressed in statistics and linked to external resources to give better information about the resources and their relationships. The statistics expressed in a data mart facilitate queries about the history of journals usage by several criteria. This data linked to another datasets gives more information such as: the topics in the research, the origin of the authors, the relation to the national plans, and the relations about the study curriculums. This paper reports a process for publishing an open access journal data mart on the Web using Linked Data technologies in such a way that it can be linked to related datasets. Furthermore, methodological guidelines are presented with related activities. The proposed process was applied extracting statistical data from a university open journal system and publishing it in a SPARQL endpoint using the open source edition of the software OpenLink Virtuoso. In this process the use of open standards facilitates the creation, development and exploitation of knowledge. The RDF Data Cube vocabulary has been used as a model for publishing the multidimensional data on the Web. The visualization was made using CubeViz a faceted browser filtering observations to be presented interactively in charts. The proposed process help to publish statistical datasets in an easy way.This work has been partially supported by the Prometeo Project by SENESCYT, Ecuadorian Government
Why Geospatial Linked Open Data for Smart Mobility?
While the concept of Smart Cities is gaining momentum around the world and government data are increasingly available and accessible on the World Wide Web, key issues remain about Open Data and data standards for smart cities. A better integration and interoperabilty of data through the World Wide Web is only possible when everyone agrees on the standards for data representation and sharing. Linked Open Data positions itself as a solution for such standardization, being a method of publishing structured data using standard Web technologies. This facilitates the interlinking between datasets, makes them readable by computers, and easily accesible on the World Wide Web. We illustrate this through the example of an evolution from a traditional Content Management System with a geoportal, to a semantic based aproach. The Traffic Safety Monitor was developed in the period of 2012-2015 to monitor the road safety and to support policy development on road safety in Flanders (the northern part of Belgium). The system is built as a Content Management System (CMS), with publication tools to present geospatial indicators on road safety (e.g. the number of accidents with cars and the number of positive alcohol tests) as Web maps using stardardized Open Geospatial Consortium Webservices. The Traffic Safety Monitor is currently further developed towards a Mobility Monitor. Here, the focus is on the development of a business process model for the semantic exchange and publication of spatial data using Linked Open Data principles targeting indicators of sustainable and smart mobility. In the future, the usability of cycling Infrastructure for vehicles such as mobility scooters, bicycle trailers etc. can be assessed using Linked Open Data. The data and metadata is published in Linked open data format, opening the door for their reuse by a wide range of (smart) applications
Transforming Library Catalogs into Linked Data
Traditionally, in most digital library environments, the discovery of resources takes place mostly through the harvesting and indexing of the metadata content. Such search and retrieval services provide very effective ways for persons to find items of interest but lacks the ability to lead users looking for potential related resources or to make more complex queries. In contrast, modern web information management techniques related to Semantic Web, a new form of the Web, encourages institutions, including libraries, to collect, link and share their data across the web in order to ease its processing by machines and humans offering better queries and results increasing the visibility and interoperability of the data. Linked Data technologies enable connecting related data across the Web using the principles and recommendations set out by Tim Berners-Lee in 2006, resulting on the use of URIs (Uniform Resource Identifier) as identifiers for objects, and the use of RDF (Resource Description Framework) for links representation. Today, libraries are giving increasing importance to the Semantic Web in a variety of ways like creating metadata models and publishing Linked Data from authority files, bibliographic catalogs, digital projects information or crowdsourced information from another projects like Wikipedia. This paper reports a process for publishing library metadata on the Web using Linked Data technologies. The proposed process was applied for extracting metadata from a university library, representing them in RDF format and publishing them using a Sparql endpoint (an interface to a knowledge database). The library metadata from a subject were linked to external sources such us another libraries and then related to the bibliography from syllabus of the courses in order to discover missing subjects and new or out of date bibliography. In this process, the use of open standards facilitates the exploitation of knowledge from libraries.This research has been partially supported by the Prometeo project by SENESCYT, Ecuadorian Government, by CEDIA (Consorcio Ecuatoriano para el Desarrollo de Internet Avanzado) supporting the project: “Platform for publishing library bibliographic resources using Linked Data technologies” and by the project GEODAS-BI (TIN2012-37493-C03-03) supported by the Ministry of Economy and Competitiveness of Spain (MINECO)
Does Learning Organization Lead to a Better Performance?: A Study of a GLC in Malaysia
The Government-linked Companies (GLCs) transformation program is aimed to ensure its competency and competitiveness in achieving the nation’s Vision 2020. One of the factors that lead to higher performance is through the development of learning organization which provides continuous learning and improvement, directly linked to competitive advantage. Data collected from 150 employees of a telecommunication GLC in Malaysia revealed that three of learning organization dimensions namely; systems connection, strategic leadership and team learningwere positively related to organizational performance. This study is significant to GLCs top management and the Malaysian government in ensuring superior performance in a knowledge-driven economy.© 2016. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia..Keywords: learning organization, organizational performance
Mejorando la Ciencia Abierta Usando Datos Abiertos Enlazados: Caso de Uso CONICET Digital
Los servicios de publicaciĂłn cientĂfica están cambiando drásticamente, los investigadores demandan servicios de bĂşsqueda inteligentes para descubrir y relacionar publicaciones cientĂficas. Los editores deben incorporar informaciĂłn semántica para organizar mejor sus activos digitales y hacer que las publicaciones sean más visibles. En este documento, presentamos el trabajo en curso para publicar un subconjunto de publicaciones cientĂficas de CONICET Digital como datos abiertos enlazados. El objetivo de este trabajo es mejorar la recuperaciĂłn y la reutilizaciĂłn de datos a travĂ©s de tecnologĂas de Web Semántica y Datos Enlazados en el dominio de las publicaciones cientĂficas. Para lograr estos objetivos, se han tenido en cuenta los estándares de la Web Semántica y los esquemas RDF (DublĂn Core, FOAF, VoID, etc.). El proceso de conversiĂłn y publicaciĂłn se basa en las pautas metodolĂłgicas para publicar datos vinculados de gobierno. TambiĂ©n describimos como estos datos se pueden vincular a otros conjuntos de datos como DBLP, Wikidata y DBPedia. Finalmente, mostramos algunos ejemplos de consultas que responden a preguntas que inicialmente no permite CONICET Digital.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 allowFil: Zárate, Marcos Daniel. Consejo Nacional de Investigaciones CientĂficas y TĂ©cnicas. Centro CientĂfico TecnolĂłgico Conicet - Centro Nacional PatagĂłnico. Centro para el Estudio de Sistemas Marinos; ArgentinaFil: Carlos Buckle. Universidad Nacional de la Patagonia "San Juan Bosco"; ArgentinaFil: Mazzanti, Renato. Universidad Nacional de la Patagonia "San Juan Bosco"; ArgentinaFil: Samec, Gustavo Daniel. Universidad Nacional de la Patagonia "San Juan Bosco"; Argentin
Propelling the Potential of Enterprise Linked Data in Austria. Roadmap and Report
In times of digital transformation and considering the potential of the data-driven
economy, it is crucial that data is not only made available, data sources can be trusted,
but also data integrity can be guaranteed, necessary privacy and security mechanisms
are in place, and data and access comply with policies and legislation. In many cases,
complex and interdisciplinary questions cannot be answered by a single dataset and
thus it is necessary to combine data from multiple disparate sources. However, because
most data today is locked up in isolated silos, data cannot be used to its fullest
potential.
The core challenge for most organisations and enterprises in regards to data exchange
and integration is to be able to combine data from internal and external data sources
in a manner that supports both day to day operations and innovation. Linked Data is a
promising data publishing and integration paradigm that builds upon standard web
technologies. It supports the publishing of structured data in a semantically explicit
and interlinked manner such that it can be easily connected, and consequently becomes
more interoperable and useful.
The PROPEL project - Propelling the Potential of Enterprise Linked Data in Austria - surveyed technological challenges, entrepreneurial opportunities, and open research
questions on the use of Linked Data in a business context and developed a roadmap and a set of recommendations for policy makers, industry, and the research community.
Shifting away from a predominantly academic perspective and an exclusive focus on open data, the project looked at Linked Data as an emerging disruptive technology
that enables efficient enterprise data management in the rising data economy. Current market forces provide many opportunities, but also present several data and
information management challenges. Given that Linked Data enables advanced analytics and decision-making, it is particularly suitable for addressing today's data and
information management challenges. In our research, we identified a variety of highly promising use cases for Linked Data in an enterprise context. Examples of promising
application domains include "customization and customer relationship management", "automatic and dynamic content production, adaption and display", "data search, information
retrieval and knowledge discovery", as well as "data and information exchange and integration". The analysis also revealed broad potential across a large spectrum of
industries whose structural and technological characteristics align well with Linked
Data characteristics and principles: energy, retail, finance and insurance, government, health, transport and logistics, telecommunications, media, tourism, engineering, and research and development rank among the most promising industries for the adoption of Linked Data principles.
In addition to approaching the subject from an industry perspective, we also examined the topics and trends emerging from the research community in the field of Linked Data and the Semantic Web. Although our analysis revolved around a vibrant and active community composed of academia and leading companies involved in semantic technologies, we found that industry needs and research discussions are
somewhat misaligned. Whereas some foundation technologies such as knowledge representation and data creation/publishing/sharing, data management and system
engineering are highly represented in scientific papers, specific topics such as recommendations, or cross-topics such as machine learning or privacy and security are marginally
present. Topics such as big/large data and the internet of things are (still) on an
upward trajectory in terms of attention. In contrast, topics that are very relevant for
industry such as application oriented topics or those that relate to security, privacy
and robustness are not attracting much attention. When it comes to standardisation
efforts, we identified a clear need for a more in-depth analysis into the effectiveness of
existing standards, the degree of coverage they provide with respect the foundations
they belong to, and the suitability of alternative standards that do not fall under the
core Semantic Web umbrella.
Taking into consideration market forces, sector analysis of Linked Data potential, demand
side analysis and the current technological status it is clear that Linked Data
has a lot of potential for enterprises and can act as a key driver of technological, organizational,
and economic change. However, in order to ensure a solid foundation
for Enterprise Linked Data include there is a need for: greater awareness surrounding
the potential of Linked Data in enterprises, lowering of entrance barriers via education
and training, better alignment between industry demands and research activities,
greater support for technology transfer from universities to companies.
The PROPEL roadmap recommends concrete measures in order to propel the adoption
of Linked Data in Austrian enterprises. These measures are structured around five
fields of activities: "awareness and education", "technological innovation, research gaps,
standardisation", "policy and legal", and "funding". Key short-term recommendations include the clustering of existing activities in order to raise visibility on an international level, the funding of key topics that are under represented by the community, and the setup of joint projects. In the medium term, we recommend the strengthening
of existing academic and private education efforts via certification and to establish flagship projects that are based on national use cases that can serve as blueprints for transnational initiatives. This requires not only financial support, but also infrastructure support, such as data and services to build solutions on top. In the long term, we
recommend cooperation with international funding schemes to establish and foster a European level agenda, and the setup of centres of excellence
A Pre- and Post- MCCG 2012 Evaluation on the Impacts of Corporate Governance and Intellectual Capital with Firm Performance
This paper aims to examine and compare the impact of corporate governance (CG) and intellectual capital (IC) on firm performance (FP) between pre- Malaysia Code of Corporate Governance (MCCG) 2012 and post- MCCG 2012 of GLCs. Panel data analysis was used. The data were collected from the annual report of the 32 GLCs from 2005 to 2012 (pre- MCCG 2012) and from 2013 to 2020 (post- MCCG 2012). There was a total of 512 firm-year observations. The CG of post- MCCG 2012 has a greater impact on earnings per share (EPS) compared to pre- MCCG 2012. The IC of pre- MCCG 2012 has a greater impact on return on equity (ROE), Tobin’s Q and EPS.
Keywords: Corporate Governance; Intellectual Capital; MCCG 2012; Government-Linked Companies
eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians), and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v7iSI8.390
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