Web 3.0 / Open Data

Web 3.0

The Semantic Web (also named Web 3.0) is a network of data that enables machines to understand the semantics (i.e. meaning) of information published on the Web. It extends the network of human-readable Web pages (e.g. published in HTML) by inserting machine-readable metadata about that published information and how it relates to the content in other pages, thereby enabling automated agents to access the Web more intelligently and perform tasks on behalf of users.

Irosoft has developed a unique value proposition around the Semantic Web and can help organizations manage their content and expect quick return on investments using these standards, technologies and approaches:

  • Linked Data
  • RDF, RDFS, RDFa, Dublin Core, SKOS, OWL, DAML, etc.
  • Microformats
  • Controlled vocabularies (e.g. classification schemes, taxonomies, thesauri, ontologies)
  • Text mining and content analytics
  • SOAP, UDDI, WSDL, REST, etc.

Open Data

The move towards open government data currently helps create more democratic spaces and more transparent government services. Not only does this move enable governments to reach certain good governance goals, but it is also an important vehicle for the convergence of information. For a group of data to be considered “open," it must meet certain minimal criteria, including completeness (all relevant data must be published), accessibility (as much of the data as possible must be accessible), structure (the data must easily be usable by software), relevance, security, confidentiality, etc.

Irosoft has developed a specialized service offering in open data management that includes four simple steps:

  1. Identifying data that needs to be "opened" – What is the available data? Is it already public? Is it subject to security or privacy restrictions? Is its publication relevant and why? Etc.
  2. Structuring this data– Is the raw data usable as is? In which format will it be published? Which conversions are needed? Does the data need to be cleaned? Etc.
  3. Interconnecting with other data– What connections do you need to establish with other open data? How to create these connections? Etc.
  4. Publishing the data– Are the Semantic Web publishing standards required? What is the best way to publicize the availability if this newly opened data? What kind of technological infrastructure must be set up? How must maintenance and updating be accomplished? Etc.

The objective of publishing open data is cooperation without coordination, that is to say, to make data accessible without having to determine when, how, where and by whom it will ultimately be used, and that’s precisely the aim of this service offering.


Our document and records management system, Docuthèque Entreprise, and legislative information management system, LIMS, are both semantic web and open data friendly.