The SPAR Ontologies have drawn the attention of the Semantic Publishing community as a reference point for standardising entity descriptions and fostering interoperability between services. As a demonstration of their adoption, in this page we list all the projects that use any of the SPAR Ontologies and all the scholarly documents that explicitly cite them.
Since both the lists of projects and publications could be not exhaustive, we kindly invite to write us an email for pointing out additional projects and publications and for requesting an update of the description of any of the listed projects. We will be honoured to add them in this page.
In this section we list all the projects that use SPAR Ontologies for modelling parts of their domain. The following list of projects (sorted in alphabetic order) was compiled by considering personal communications and by googling about SPAR Ontologies adoption.
The *ALIGNED project* is developing new ways to combine software and data engineering to speed the development of web-based data intensive systems. Within ALIGNED, the [Seshat Global History Databank use case](http://seshatdatabank.info/) is investigating automated SPAR support for creation of bibliographic references for historical, archaeological and social sciences data-sets.
The *Biotea project* comprises and makes available a set of RDF files generated from the open-access subset of PMC and enriched with semantic annotations, a Web Services API for querying the RDF dataset, a SPARQL Protocol and RDF Query Language (SPARQL) endpoint containing a subset of the RDF files as a proof of concept, an article-centric prototype that acts as an interface to the WoD, and an implemented transformation process from our RDF files to Bio2RDF.
*CiteULike* CiteULike is a web service which allows people, such as researchers, to store and share citations to academic papers.
This ontology models cultural institutes or sites and other contextual information, such as the agents that play a specific role on cultural institutes or sites, the sites themselves, the contact points, all multimedia files which describe the cultural institute or site and any other information useful to the public in order to access the institute or site. It reuses (via alignement) several entities defined in external ontologies, including SPAR Ontologies such as [PRO](/ontologies/pro).
The DBpedia DataID vocabulary is a meta-data system for detailed descriptions of datasets and their different manifestations, as well as relations to agents like persons or organizations, in regard to their rights and responsibilities. It is strongly based on the DataCite Ontology.
The *Data on the Web Best Practices: Dataset Usage Vocabulary* is a W3C Working Draft (28 January 2016) which aims at filling a niche that helps standardize the way Web published dataset usage be conveyed and shared.
The *data.open.ac.uk* portal is the home of Open Linked Data from [The Open University](http://open.ac.uk). They interlink and expose data available in various institutional repositories of the University and make it available openly for reuse.
*DataCite* is an international not-for-profit organization which aims at making data more accessible and more useful, by developing and supporting methods to locate, identify, cite and [describe in RDF](https://doi.org/10.6084/m9.figshare.2075356) data and other research objects.
*Dokieli* is a general purpose client-side application for [document authoring, publication and interaction](http://csarven.ca/dokieli-rww), which allows users to enable its capabilities according to their needs and technical resources. The editor is built on open Web standards and the documents are compliant with Linked Data best practices.
The *Europeana Network* is a community created to shape and promote good practice in the world of digital cultural heritage. Europeana provides a platform that allows people to explore great achievements from the past to achieve great things in the future. They bring together the organisations that have heritage to share with the people and sectors who want to view, share and build with that heritage.
The FAIR* Reviews ontology aims at describing scientific reviews as relevant resources produced during the research publication workflow. Reviews are modelled as textual content containing a throughful evaluation of a given scientific contribution, and are written by a reviewer usually in the context of a venue (e.g. a conference, a journal).
*Linked Chemistry* is a website that hosts linked chemical data, where with "linked" they refers to using dereferenceable IRIs and the Resource Description Framework (RDF).
*Linked Education* aims at sharing resources and information related to educational Linked Data. In particular, it aims at facilitating and promoting the Web-scale sharing of educational data and resources based on state-of-the-art Linked Data principles.
The *Linked Open Vocabularies Dataset* (*LOV*) describes the growing ecosystem of linked open vocabularies (RDFS or OWL ontologies) used in the Linked Data Cloud.
The *Media type as Linked Open Data* is a Web space reserved for providing a description in RDF of all the media types available at the official [IANA webpage](http://www.iana.org/assignments/media-types/media-types.xml). The RDF representation of each media type is accessible by concatenating the URL https://w3id.org/spar/mediatype/ with the identifier of the media type of interest (e.g., https://w3id.org/spar/mediatype/text/turtle).
The *Nature.com Ontologies* portal describes the approach adopted in [Springer Nature](http://www.springernature.com/) for using Linked Data technologies to manage the publishing of [nature.com](http://www.nature.com) titles.
The *OpenCitations Corpus* (*OCC*) is a new open repository of scholarly citation data. Its objective is to provide accurate bibliographic citation data that others may freely build upon, enhance and reuse for any purpose. It does this by making the citation data available under a Creative Commons CC0 1.0 public domain dedication, without restriction under copyright or database law.
*PDFX* is a rule-based system for analysing scientific publications in PDF form and recovering their fine-grained logical and rhetorical structures . Its analysis result is stored in an XML format that describes the document's organisation into logical units, and also links it to geometrical typesetting markers in the original PDF, such as column or page break.
It is a package for [Pandoc](https://pandoc.org/) which allows one to create beautiful, semantically enriched articles. It uses CiTO for providing the semantic annotation to citations in a scholarly article.
*PubChemRDF* is an RDF triplestore which includes a number of semantic relationships, such as those between compounds and substances, the chemical descriptors associated with compounds and substances, the relationships between compounds, the provenance and attribution metadata of substances, and the concise bioactivity data view of substances.
The *RASH Framework* is a set of specifications and writing/conversion/extraction tools for writing academic articles in [RASH](https://rawgit.com/essepuntato/rash/master/documentation/index.html), i.e., a markup language defined as a subset of HTML+RDF for writing scientific articles.
ScholarMarkdown is a framework for writing scholarly articles in the easy-to-use Markdown syntax, where articles can be compiled live to HTML and PDF. Articles are automatically annotated with RDFa using several SPAR ontologies, such as CiTO.
ScholarlyData dataset is a refactoring of the Semantic Web Dog Food (SWDF), in an effort to keep the dataset growing in good health. They use a novel data model, the Conference Ontology (http://www.scholarlydata.org/ontology) which is strongly aligned to the SPAR Ontologies, in particular to FaBiO, DoCO, PRO, and SCoRO.
The tools proposed by *science.ai* aims at simplifying the publishing process of scientific articles by means of Web technologies and conversion strategies from well-known document formats. One of its output is the [Scholarly Article Ontology](http://ns.science.ai/), which is used to describe, semantically, document components.
The *Semantic Lancet Project* is focused on building a Linked Open Dataset on scholarly publications. The current dataset contains metadata about all papers published in the [Journal of Web Semantics](http://www.journals.elsevier.com/journal-of-web-semantics/) by Elsevier.
*Semantic Science* is a new community portal to support the development of Semantic Web technologies (guides/presentations, RDF/OWL ontologies, knowledge systems) to facilitate the management, integration and discovery of scientific knowledge.
The Global Change Information System (GCIS) is part of the US Global Change Research Program (USGCRP), and has been created to coordinate and integrate the use of federal information products on changes in the global environment and the implications of those changes for society.
The United Nations System Document Ontology (UNDO) provides a framework for the formal description of all entities and the relations that can exist among them in UN Documents. The idea behind the development of this model is to have a mechanism for sharing data about documents and their content in RDF format and, eventually, extended by the various agencies of the United Nations to meet their own domain specific requirements.
*Utopia Documents* is a PDF-reader designed to improve the user's experience of reading scholarly papers (particularly in the domain of the Life Sciences) by linking the article and its contents to online resources.
*VIVO* is an open source Semantic Web application that enables the discovery of research and scholarship across disciplines at that institution and beyond. VIVO supports browsing and a search function which returns faceted results for rapid retrieval of desired information.
Wikidata is a free and open knowledge base that can be read and edited by both humans and machines which acts as central storage for the structured data of its Wikimedia sister projects. Several items in Wikidata [have been aligned](https://query.wikidata.org/embed.html#SELECT%20%3Fitem%20%3FitemLabel%20%3Ftype%20%3Fmatch%20WHERE%20%7B%0A%20%20%7B%20BIND%20%28%22%3D%22%20AS%20%3Ftype%29%20%3Fitem%20wdt%3AP1709%20%3Fmatch%20%7D%0A%20%20UNION%0A%20%20%7B%20BIND%20%28%22%3D%22%20AS%20%3Ftype%29%20%3Fitem%20wdt%3AP2888%20%3Fmatch%20%7D%0A%20%20UNION%0A%20%20%7B%20BIND%20%28%22%3E%22%20AS%20%3Ftype%29%20%3Fitem%20wdt%3AP3950%20%3Fmatch%20%7D%0A%20%20FILTER%20%28STRSTARTS%28STR%28%3Fmatch%29%2C%20%22http%3A%2F%2Fpurl.org%2Fspar%2F%22%29%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%7D%0A) with classes included in the SPAR Ontologies.
The Zeri&LODE project released the Zeri Photo Archive Linked Open Data dataset, which describes about 19,000 artworks of Renaissance Art (15th-16th centuries) and more than 30,000 photographs depicting such works are accurately described by means of like 11 million of RDF statements. The datamodel used for describing these data is strongly based on the SPAR Ontologies, in particular FaBiO, PRO, and CiTO.
In this section we list all the publications citing any of the SPAR Ontologies. In particular, we consider all the scholarly works retrieved by using Google Scholar. For creating the list, we did not consider any self citation and we took into consideration only the papers that comply with one of the following criteria:
http://www.sparontologies.netor any other SPAR-related URL starting with either
Last update: March 20, 2018.