PO-1543: Public radiomics data collections in an open access Semantic Web (SPARQL) endpoint

2020 ◽  
Vol 152 ◽  
pp. S834-S835
Author(s):  
P. Kalendralis ◽  
Z. Shi ◽  
C. Zhang ◽  
A. Choudhury ◽  
A. Traverso ◽  
...  
Keyword(s):  
Open Access ◽  
Semantic Web ◽  
Sparql Endpoint ◽  
Data Collections

scholarly journals R2D2: A Dbpedia Chatbot Using Triple-Pattern Like Queries

Algorithms ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 217
Author(s):  
Haridimos Kondylakis ◽  
Dimitrios Tsirigotakis ◽  
Giorgos Fragkiadakis ◽  
Emmanouela Panteri ◽  
Alexandros Papadakis ◽  
...  
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Semantic Web Technologies ◽  
User Input ◽  
Web Technologies ◽  
Structured Input ◽  
Controlled Natural Language ◽  
Sparql Endpoint ◽  
Natural Language Interface ◽  
Available Information

Chatbots, also known as conversation agents, are programs that are able to simulate and reproduce an intelligent conversation with humans. Although this type of program is not new, the explosion of the available information and the rapid increase of the users seeking this information have renewed the interest in their development. In this paper, we present R2D2, an intelligent chatbot relying on semantic web technologies and offering an intelligent controlled natural language interface for accessing the information available in DBpedia. The chatbot accepts structured input, allowing users to enter triple-pattern like queries, which are answered by the underlying engine. While typing, an auto-complete service guides users on creating the triple patterns, suggesting resources available in the DBpedia. Based on user input (in the form of triple-pattern like queries), the corresponding SPARQL queries are automatically formulated. The queries are submitted to the corresponding DBpedia SPARQL endpoint, and then the result is received by R2D2 and augmented with maps and visuals and eventually presented to the user. The usability evaluation performed shows the advantages of our solution and its usefulness.

scholarly journals An open-access stress magnitude database for Germany and adjacent regions

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Sophia Morawietz ◽  
Oliver Heidbach ◽  
Karsten Reiter ◽  
Moritz Ziegler ◽  
Mojtaba Rajabi ◽  
...  
Keyword(s):  
Stress State ◽  
Open Access ◽  
Local Data ◽  
Ranking Scheme ◽  
The World ◽  
Continuous Description ◽  
Stress Orientations ◽  
Data Collections ◽  
Quality Ranking ◽  
First Time

Abstract Knowledge of the crustal stress state is important for the assessment of subsurface stability. In particular, stress magnitudes are essential for the calibration of geomechanical models that estimate a continuous description of the 3-D stress field from pointwise and incomplete stress data. Well established is the World Stress Map Project, a global and publicly available database for stress orientations, but for stress magnitude data only local data collections are available. Herein, we present the first comprehensive and open-access stress magnitude database for Germany and adjacent regions, consisting of 568 data records. In addition, we introduce a quality ranking scheme for stress magnitude data for the first time.

scholarly journals Publishing Scholarly Editions

2021 ◽  
Author(s):  
Christopher Ohge
Keyword(s):  
Nineteenth Century ◽  
Data Analysis ◽  
Open Access ◽  
Publishing Industry ◽  
Data Modelling ◽  
Open Access Data ◽  
Billy Budd ◽  
Data Collections ◽  
Conclusion Section ◽  
Access Data

Publishing Scholarly Editions offers new intellectual tools for publishing digital editions that bring readers closer to the experimental practices of literature, editing, and reading. After the Introduction (Section 1), Sections 2 and 3 frame intentionality and data analysis as intersubjective, interrelated, and illustrative of experience-as-experimentation. These ideas are demonstrated in two editorial exhibitions of nineteenth-century works: Herman Melville's Billy Budd, Sailor, and the anti-slavery anthology The Bow in the Cloud, edited by Mary Anne Rawson. Section 4 uses pragmatism to rethink editorial principles and data modelling, arguing for a broader conception of the edition rooted in data collections and multimedia experience. The Conclusion (Section 5) draws attention to the challenges of publishing digital editions, and why digital editions have failed to be supported by the publishing industry. If publications are conceived as pragmatic inventions based on reliable, open-access data collections, then editing can embrace the critical, aesthetic, and experimental affordances of editions of experience.

scholarly journals Creating RESTful APIs over SPARQL endpoints using RAMOSE

Semantic Web ◽  
2021 ◽  
pp. 1-19
Author(s):  
Marilena Daquino ◽  
Ivan Heibi ◽  
Silvio Peroni ◽  
David Shotton
Keyword(s):  
Semantic Web ◽  
Service Providers ◽  
Query Language ◽  
Sparql Query ◽  
Direct Access ◽  
Technical Solution ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Sparql Endpoint ◽  
Rdf Data

Semantic Web technologies are widely used for storing RDF data and making them available on the Web through SPARQL endpoints, queryable using the SPARQL query language. While the use of SPARQL endpoints is strongly supported by Semantic Web experts, it hinders broader use of RDF data by common Web users, engineers and developers unfamiliar with Semantic Web technologies, who normally rely on Web RESTful APIs for querying Web-available data and creating applications over them. To solve this problem, we have developed RAMOSE, a generic tool developed in Python to create REST APIs over SPARQL endpoints. Through the creation of source-specific textual configuration files, RAMOSE enables the querying of SPARQL endpoints via simple Web RESTful API calls that return either JSON or CSV-formatted data, thus hiding all the intrinsic complexities of SPARQL and RDF from common Web users. We provide evidence that the use of RAMOSE to provide REST API access to RDF data within OpenCitations triplestores is beneficial in terms of the number of queries made by external users of such RDF data using the RAMOSE API, compared with the direct access via the SPARQL endpoint. Our findings show the importance for suppliers of RDF data of having an alternative API access service, which enables its use by those with no (or little) experience in Semantic Web technologies and the SPARQL query language. RAMOSE can be used both to query any SPARQL endpoint and to query any other Web API, and thus it represents an easy generic technical solution for service providers who wish to create an API service to access Linked Data stored as RDF in a triplestore.

scholarly journals Gold-level open access at the Semantic Web journal

Semantic Web ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 1-2
Author(s):  
Krzysztof Janowicz ◽  
Pascal Hitzler
Keyword(s):  
Open Access ◽  
Semantic Web

scholarly journals Starting with the archive: principles for prospective collaborative research

2021 ◽  
pp. 146879412110230
Author(s):  
Rachel Thomson ◽  
Liam Berriman
Keyword(s):  
Open Access ◽  
Collaborative Research ◽  
Longitudinal Research ◽  
Multimedia Data ◽  
Secondary Use ◽  
Short Films ◽  
The Everyday ◽  
The Future ◽  
Data Collections ◽  
A Site

What are participants and researchers agreeing to when they consent to having data archived and what do they imagine the future life of their data to be? In this paper, we reflect on a project that deliberately started rather than ended with the archive. The Everyday Childhoods project invited children and their families to take part in the creation of an open access public archive documenting everyday childhoods using a range of multimedia data. Families and researchers were invited into the archive, encouraged to imagine different kinds of secondary use and to speak directly to future user of their data through short films and postcards. This paper raises questions concerning the place of the archive in different disciplinary traditions; the roles of researcher and archivist in safekeeping, gatekeeping and caring for data collections; and the place of qualitative longitudinal research as a site of innovation within a new data landscape.

scholarly journals Visualisasi Pemain Sepak Bola Indonesia pada DBPedia dengan menggunakan Node2Vec dan Closeness Centrality

2020 ◽  
Vol 11 (2) ◽  
pp. 103
Author(s):  
Ardha Perwiradewa ◽  
Ahmad Naufal Rofiif ◽  
Nur Aini Rakhmawati
Keyword(s):  
Semantic Web ◽  
Soccer Player ◽  
Sparql Query ◽  
Closeness Centrality ◽  
The Internet ◽  
Football Players ◽  
Web Data ◽  
Large Graph ◽  
Sparql Endpoint ◽  
Centrality Score

Abstract. Visualization of Indonesian Football Players on DBpedia through Node2Vec and Closeness Centrality Implementation. Through Semantic Web, data available on the internet are connected in a large graph. Those data are still raw so that they need to be processed to be an information that can help humans. This research aims to process and analyze the Indonesian soccer player graph by implementing node2vec and closeness centrality algorithm. The graph is modeled through a dataset obtained from the DBpedia by performing a SPARQL query on the SPARQL endpoint. The results of the Node2vec algorithm and closeness centrality are visualized for further analysis. Visualization of node2vec shows that the defenders are distributed over the players. Meanwhile, the result of closeness centrality shows that the strikers have the highest centrality score compared to other positions.Keywords: visualization, node2vec, closeness centralityAbstrak. Dengan adanya web semantik, data yang tersebar di internet dapat saling terhubung dan membentuk suatu graf. Data yang ada pada graf tersebut masih berupa data mentah sehingga perlu dilakukan pengolahan agar data mentah tersebut dapat menjadi informasi yang dapat membantu manusia. Penelitian ini bertujuan untuk melakukan pengolahan dan analisis terhadap graf pemain sepak bola Indonesia dengan mengimplementasikan algoritma node2vec dan closeness centrality. Graf dimodelkan melalui dataset yang didapat dari website DBpedia dengan cara melakukan query SPARQL pada SPARQL endpoint. Hasil dari algoritma node2vec dan closeness centrality divisualisasikan untuk dianalisis. Visualisasi dari node2vec menunjukkan pemain defender tersebar. Hasil closeness centrality menunjukkan bahwa pemain striker memiliki nilai tertinggi daripada posisi lainnya.Kata Kunci: visualisasi, node2vec, closeness centrality

scholarly journals Behavioural Issues Causative to Corruption

2018 ◽  
Vol 3 (11) ◽  
pp. 1
Author(s):  
Rumaizah Mohd Nordin ◽  
Roshana Takim ◽  
Abdul Hadi Nawawi
Keyword(s):  
Open Access ◽  
Peer Review ◽  
Construction Industry ◽  
Publishing House ◽  
Deviant Behaviour ◽  
Public Role ◽  
International Publishing ◽  
Behavioural Factors ◽  
Data Collections ◽  
Open Access Article

Construction industry is fragmented, involves various stakeholders with a complex contractual structure, and variety of psychological human behaviours that expose to corrupt activities. Corruption is a deviant behaviour which deviates from normal duties of a public role, pecuniary, and violates official ethics of public services. The objective of this paper is to investigate the behavioural factors that lead to corruption in construction based on the ‘Model of Corrupt Action’. Three methods of data collections (i.e., interviews, workshop and questionnaire) are employed to derive to the solutions. The results showed that ‘desire’ and ‘intentions’ are the significant behavioural factors to corrupt actions.Keywords: Behaviour, corruption, construction environment eISSN 2398-4295 © 2018. 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 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. http://dx.doi.org/10.21834/ajbes.v3i11.96

Interoperable Performance Research: Promises and Perils of the Semantic Web

2016 ◽  
Vol 60 (3) ◽  
pp. 136-147 ◽  
Author(s):  
Miguel Escobar Varela
Keyword(s):  
Open Access ◽  
Semantic Web ◽  
Performance Data ◽  
Institutional Changes ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Internet Connection ◽  
And Performance ◽  
Access Policies ◽  
Performance Research

The semantic web is a family of web technologies that allow users to tag and retrieve resources (such as images, videos, and texts) in complex ways. Could theatre and performance research become more “international” if performance data (i.e., academic articles and multimedia corpora) could be freely accessed and combined by anyone with an internet connection? Open access policies and semantic web technologies could allow any resource to be tagged and linked together from a multiplicity of perspectives, requiring complex institutional changes that are probably neither feasible nor desirable.

scholarly journals Determinants of women´s health in Europe: using large open data collections to unveil the hidden part of the iceberg

2017 ◽  
pp. 72-82
Author(s):  
Lourdes Cantarero-Arévalo
Keyword(s):  
Open Access ◽  
Women’S Health ◽  
Women's Health ◽  
Open Data ◽  
World Health ◽  
Economic Policies ◽  
Online Data ◽  
Health Care Policies ◽  
Health Organization ◽  
Data Collections

Open data collections can be powerful, providing democratic tools to illustrate women’s health across Europe. This article discusses the benefits offered by the large volume of open-access data in comparison with access-restrictive big data, and provides an overview of the main databases publically available which gather sex-disaggregated data information, as well as of their strengths and limitations (The World Health Organization European Health for All database, EUROSTAT, Institute for Health Metrics and Evaluation – Global Burden of Disease data and OECD data). Examples are provided to illustrate the outcomes that can be obtained from the different databases, with special emphasis on the socioeconomic determinants of women’s health (education, income and wealth, employment and place of residence) in the European Region. Open online data collections accessible to all can be used as tools to argue in favour of not only the implementation of health-care policies, but also social and economic policies aimed at improving women’s health in Europe. However, open-access online data collections have certain drawbacks worth considering such as the need for continuous monitoring and updating, ensuring the reliability of data provided by all countries, and guaranteeing that individuals cannot be identified through links between clinical and socioeconomic data.

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