ImageSnippets is an archival and curation tool. The goal of ImageSnippets is to build a persistent resource that establishes provenance and preserves the historical content and context of images. The application uses RDF syntax to ensure that the data entered will be readable in the future. RDF has become a standard, like HTML, and will likely be read by semantically aware devices for years to come. Additionally, the application saves data in a way that cannot be easily manipulated.

How much does it cost to join?

Right now it is free, because it is still in beta and we want to gain experience with its use and get feedback from early adopters. In the future we plan to add features such as privacy options and enterprise portals, for which we will charge a fee from commercial users. Researchers and curators working for nonprofits will always have free access to the basic ImageSnippets system.


LOV stands for Linked Open Vocabularies. This name is derived from LOD, standing for Linked Open Data. Let’s assume that the reader is somehow familiar with the latter concept, otherwise a visit to or will help to figure it before further reading.

Data on the Web use properties (aka predicates) and classes (aka types) to describe people, places, products, events, and any kind of things whatsoever. In the data “Mary is a person, her family name is Watson, she lives is the city of San Francisco”, “Person” is the class of Mary, “City” is the class of San Francisco, “family name” and “lives is” are properties used to describe a person, the latter acting also as a link between a person and a place.

A vocabulary in LOV gathers definitions of a set of classes and properties (together simply called terms of the vocabulary), useful to describe specific types of things, or things in a given domain or industry, or things at large but for a specific usage.

Terms of vocabularies also provide the links in linked data, in the above case between a Person and a City. The definitions of terms provided by the vocabularies bring clear semantics to descriptions and links, thanks to the formal language they use (some dialect of RDF such as RDFS or OWL). In short, vocabularies provide the semantic glue enabling Data to become meaningful Data.


OpenCitations is a scholarly infrastructure organization dedicated to open scholarship and the publication of open bibliographic and citation data by the use of Semantic Web (Linked Data) technologies, and engaged in advocacy for semantic publishing and open citations.

It provides the OpenCitations Data Model and the SPAR (Semantic Publishing and Referencing) Ontologies for encoding scholarly bibliographic and citation data in RDF, and open software of generic applicability for searching, browsing and providing APIs over RDF triplestores. It has developed the OpenCitations Corpus (OCC) of open downloadable bibliographic and citation data recorded in RDF, and a system and resolution service for Open Citation Identifiers (OCIs), and it is currently developing a number of Open Citation Indexes using the data openly available in third-party bibliographic databases.