Reactome and ORCID—fine-grained credit attribution for community curation

SPedia

Information Retrieval and Management ◽

10.4018/978-1-5225-5191-1.ch071 ◽

2018 ◽

pp. 1576-1596

Author(s):

Muhammad Ahtisham Aslam ◽

Naif Radi Aljohani

Keyword(s):

Knowledge Base ◽

Open Data ◽

Data Publishing ◽

High Quality ◽

Scientific Publications ◽

Sparql Endpoint ◽

Web Of Data ◽

Intelligent Searching ◽

The Web

Producing the Linked Open Data (LOD) is getting potential to publish high-quality interlinked data. Publishing such data facilitates intelligent searching from the Web of data. In the context of scientific publications, data about millions of scientific documents published by hundreds and thousands of publishers is in silence as it is not published as open data and ultimately is not linked to other datasets. In this paper the authors present SPedia: a semantically enriched knowledge base of data about scientific documents. SPedia knowledge base provides information on more than nine million scientific documents, consisting of more than three hundred million RDF triples. These extracted datasets, allow users to put sophisticated queries by employing semantic Web techniques instead of relying on keyword-based searches. This paper also shows the quality of extracted data by performing sample queries through SPedia SPARQL Endpoint and analyzing results. Finally, the authors describe that how SPedia can serve as central hub for the cloud of LOD of scientific publications.

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Plataformas de datos abiertos: disponibilidad de mercado

Revista Científica y Tecnológica UPSE ◽

10.26423/rctu.v3i3.206 ◽

2016 ◽

Vol 3 (3) ◽

pp. 137-142

Author(s):

Viena Muirragui Irrazábal ◽

Fernando Pacheco Olea ◽

Edwin León Plúas ◽

Fabricio Guevara Viejó

Keyword(s):

Open Source ◽

Open Source Software ◽

Open Data ◽

Review Article ◽

Major Consideration ◽

The Web ◽

Datos Abiertos ◽

Initial Base

El documento presenta las oportunidades que dentro del contexto de disponibilidad de mercado existen para el uso de las plataformas open data, ya que no todas las organizaciones tienen recursos propios que sean suficientes para implantar sus plataformas desde una base inicial, siendo por lo tanto necesario requerir aquellas que han sido desarrolladas por empresas expertas en ello; si se considera tomar ésta opción tendrían a resolver el proceso, sin embargo podría constituirse en una pérdida de capacidad de llegar a personalizar y adecuar integralmente la plataforma a las necesidades especificas de la organización que las requiera. Tomando en consideración lo expuesto, en este artículo de revisión se detallan características con las que cuentan algunas de las plataformas consideradas principales por su aplicabilidad que están disponibles en el mercado, sea a través de un modelo de software gratuito o libre y, también, con licencia comercial, en otros casos. Los datos que han sido considerados para este análisis se los referencia con respecto a la información que los propios proveedores han proporcionado por medio de documentación que se encuentra publicada por ellos en la web, como también se ha considerado la experiencia con versiones trial y ejemplos utilizables de manera abierta. Abstract The paper presents the opportunities within the context of market availability exist for the use of open data platforms, since not all organizations have their own resources which are sufficient to implement their platforms from an initial base, being therefore necessary to require those that have been developed by expert companies in it; considering taking this option would solve the process, however it could become a loss of ability to reach fully customize and adapt the platform to the specific needs of the organization that requires them. Considering the above, in this review article features are detailed with that feature some of the platforms major consideration for its applicability that are available in the market, either through a model of free and open source software and also licensed trade in other cases. The data that have been considered for this analysis is the reference regarding the information that the suppliers have provided through documentation that is published by them on the web, as has also been considered the experience with trial versions and examples used openly.

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Advancing an Open Ethos with Open Peer Review

College & Research Libraries ◽

10.5860/crl.78.4.406 ◽

2017 ◽

Vol 78 (4) ◽

pp. 406

Author(s):

Emily Ford

Keyword(s):

Open Access ◽

Open Source ◽

Source Code ◽

Open Data ◽

Open Educational Resources ◽

Free Software ◽

Open Government ◽

Label Free ◽

Web Browser ◽

The Web

Open source. Open access. Open data. Open notebooks. Open government. Open educational resources. Open access workflows. To be open is to have a disposition favoring transparent and collaborative efforts.Open is everywhere. Since the late 90’s when developers in Silicon Valley adopted the term ‘open source’ (suggested by Christine Peterson), the open movement has grown by leaps and bounds. The developers, who met after the web browser company Netscape made its source code open, articulated that ‘open’ “…illustrated a valuable way to engage with potential software users and developers, and convince them to create and improve source code by participating in an engaged community.”1 It also separated ‘open source’ “…from the philosophically- and politically-focused label ‘free software.’”2

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SPedia

International Journal on Semantic Web and Information Systems ◽

10.4018/ijswis.2017010108 ◽

2017 ◽

Vol 13 (1) ◽

pp. 128-147 ◽

Cited By ~ 2

Author(s):

Muhammad Ahtisham Aslam ◽

Naif Radi Aljohani

Keyword(s):

Knowledge Base ◽

Open Data ◽

Data Publishing ◽

High Quality ◽

Scientific Publications ◽

Sparql Endpoint ◽

Web Of Data ◽

Intelligent Searching ◽

The Web

Producing the Linked Open Data (LOD) is getting potential to publish high-quality interlinked data. Publishing such data facilitates intelligent searching from the Web of data. In the context of scientific publications, data about millions of scientific documents published by hundreds and thousands of publishers is in silence as it is not published as open data and ultimately is not linked to other datasets. In this paper the authors present SPedia: a semantically enriched knowledge base of data about scientific documents. SPedia knowledge base provides information on more than nine million scientific documents, consisting of more than three hundred million RDF triples. These extracted datasets, allow users to put sophisticated queries by employing semantic Web techniques instead of relying on keyword-based searches. This paper also shows the quality of extracted data by performing sample queries through SPedia SPARQL Endpoint and analyzing results. Finally, the authors describe that how SPedia can serve as central hub for the cloud of LOD of scientific publications.

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ARALD: Arabic Annotation Using Linked Data

Ingénierie des systèmes d information ◽

10.18280/isi.260201 ◽

2021 ◽

Vol 26 (2) ◽

pp. 143-149

Author(s):

Abdelghani Bouziane ◽

Djelloul Bouchiha ◽

Redha Rebhi ◽

Giulio Lorenzini ◽

Noureddine Doumi ◽

...

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Knowledge Base ◽

Language Processing ◽

Linked Data ◽

Open Data ◽

Arabic Language ◽

Linked Open Data ◽

Main Challenge ◽

The Web

The evolution of the traditional Web into the semantic Web makes the machine a first-class citizen on the Web and increases the discovery and accessibility of unstructured Web-based data. This development makes it possible to use Linked Data technology as the background knowledge base for unstructured data, especially texts, now available in massive quantities on the Web. Given any text, the main challenge is determining DBpedia's most relevant information with minimal effort and time. Although, DBpedia annotation tools, such as DBpedia spotlight, mainly targeted English and Latin DBpedia versions. The current situation of the Arabic language is less bright; the Web content of the Arabic language does not reflect the importance of this language. Thus, we have developed an approach to annotate Arabic texts with Linked Open Data, particularly DBpedia. This approach uses natural language processing and machine learning techniques for interlinking Arabic text with Linked Open Data. Despite the high complexity of the independent domain knowledge base and the reduced resources in Arabic natural language processing, the evaluation results of our approach were encouraging.

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Using Open Source Software in Developing a Web-accessible Database of Sweetpotato Germplasm Collections in Kenya

HortTechnology ◽

10.21273/horttech.17.4.567 ◽

2007 ◽

Vol 17 (4) ◽

pp. 567-570

Author(s):

Arthur Villordon ◽

Wambui Njuguna ◽

Simon Gichuki ◽

Philip Ndolo ◽

Don Labonte

Keyword(s):

Open Source ◽

Open Source Software ◽

Ipomoea Batatas ◽

Eastern Africa ◽

Web Interface ◽

Software Applications ◽

Germplasm Collections ◽

Commercial Applications ◽

Conservation And Management ◽

The Web

Web-accessible germplasm databases allow stakeholders to interactively search and locate information in real time. These databases can also be configured to permit designated users to remotely add, delete, or update information. These resources assist in decision-making activities that are related to germplasm documentation, conservation, and management. We report the development of a web-accessible database of Kenyan sweetpotato (Ipomoea batatas) varieties using open source software. Kenya is located in eastern Africa, a region that is considered one of the centers of diversity for sweetpotato. We describe the software applications used in developing the germplasm database as well as the web interface for displaying and interactively searching records. This report demonstrates that open source software can be used in developing a web-enabled database with management features similar to those found in proprietary or commercial applications.

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Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic

Yearbook of Medical Informatics ◽

10.1055/s-0041-1726488 ◽

2021 ◽

Author(s):

Shinji Kobayashi ◽

Luis Falcón ◽

Hamish Fraser ◽

Jørn Braa ◽

Pamod Amarakoon ◽

...

Keyword(s):

Open Source ◽

Medical Informatics ◽

Open Source Software ◽

Collective Intelligence ◽

Collaborative Work ◽

Open Data ◽

Theme Issue ◽

Health Organizations ◽

The World ◽

Civic Technology

Objectives: The emerging COVID-19 pandemic has caused one of the world’s worst health disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address the COVID-19 pandemic and infodemic. Methods: In response to the call for participation in the 2020 International Medical Informatics Association (IMIA) Yearbook theme issue on Medical Informatics and the Pandemic, the IMIA Open Source Working Group surveyed recent works related to the use of Free/Libre/Open Source Software (FLOSS) for this pandemic. Results: FLOSS health care projects including GNU Health, OpenMRS, DHIS2, and others, have responded from the early phase of this pandemic. Data related to COVID-19 have been published from health organizations all over the world. Civic Technology, and the collaborative work of FLOSS and open data groups were considered to support collective intelligence on approaches to managing the pandemic. Conclusion: FLOSS and open data have been effectively used to contribute to managing the COVID-19 pandemic, and open approaches to collaboration can improve trust in data.

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A Web Interface for Analyzing Hate Speech

Future Internet ◽

10.3390/fi13030080 ◽

2021 ◽

Vol 13 (3) ◽

pp. 80

Author(s):

Lazaros Vrysis ◽

Nikolaos Vryzas ◽

Rigas Kotsakis ◽

Theodora Saridou ◽

Maria Matsiola ◽

...

Keyword(s):

Machine Learning ◽

Social Media ◽

Graphical User Interface ◽

Hate Speech ◽

Web Interface ◽

Learning Models ◽

Speech Detection ◽

Media Services ◽

The Web ◽

Machine Learning Models

Social media services make it possible for an increasing number of people to express their opinion publicly. In this context, large amounts of hateful comments are published daily. The PHARM project aims at monitoring and modeling hate speech against refugees and migrants in Greece, Italy, and Spain. In this direction, a web interface for the creation and the query of a multi-source database containing hate speech-related content is implemented and evaluated. The selected sources include Twitter, YouTube, and Facebook comments and posts, as well as comments and articles from a selected list of websites. The interface allows users to search in the existing database, scrape social media using keywords, annotate records through a dedicated platform and contribute new content to the database. Furthermore, the functionality for hate speech detection and sentiment analysis of texts is provided, making use of novel methods and machine learning models. The interface can be accessed online with a graphical user interface compatible with modern internet browsers. For the evaluation of the interface, a multifactor questionnaire was formulated, targeting to record the users’ opinions about the web interface and the corresponding functionality.

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Learning Open Science by doing Open Science. A reflection of a qualitative research project-based seminar

Education for Information ◽

10.3233/efi-190308 ◽

2020 ◽

Vol 36 (3) ◽

pp. 263-279

Author(s):

Isabel Steinhardt

Keyword(s):

Qualitative Research ◽

Open Source ◽

Knowledge Society ◽

Open Data ◽

Open Science ◽

Research Project ◽

Science Practices ◽

Bachelor's Degrees ◽

Participatory Technologies ◽

Digital Knowledge

Openness in science and education is increasing in importance within the digital knowledge society. So far, less attention has been paid to teaching Open Science in bachelor’s degrees or in qualitative methods. Therefore, the aim of this article is to use a seminar example to explore what Open Science practices can be taught in qualitative research and how digital tools can be involved. The seminar focused on the following practices: Open data practices, the practice of using the free and open source tool “Collaborative online Interpretation, the practice of participating, cooperating, collaborating and contributing through participatory technologies and in social (based) networks. To learn Open Science practices, the students were involved in a qualitative research project about “Use of digital technologies for the study and habitus of students”. The study shows the practices of Open Data are easy to teach, whereas the use of free and open source tools and participatory technologies for collaboration, participation, cooperation and contribution is more difficult. In addition, a cultural shift would have to take place within German universities to promote Open Science practices in general.

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