Posts Tagged ‘OWL’
Here are some final thoughts from our panel of semantic web experts on what to expect to see as the New Year rings in:
Broader deployment of the schema.org terms is likely. In the study by Muehlisen and Bizer in July this year, we saw Open Graph Protocol, DC, FOAF, RSS, SIOC and Creative Commons still topping the ranks of top semantic vocabularies being used. In 2013 and beyond, I expect to see schema.org jump to the top of that list.
Christine Connors, Chief Ontologist, Knowledgent:
I think we will see an uptick in the job market for semantic technologists in the enterprise; primarily in the Fortune 2000. I expect to see some M&A activity as well from systems providers and integrators who recognize the desire to have a semantic component in their product suite. (No, I have no direct knowledge; it is my hunch!)
We will see increased competition from data analytics vendors who try to add RDF, OWL or graphstores to their existing platforms. I anticipate saying, at the end of 2013, that many of these immature deployments will leave some project teams disappointed. The mature vendors will need to put resources into sales and business development, with the right partners for consulting and systems integration, to be ready to respond to calls for proposals and assistance.
SKOS, which stands for Simple Knowledge Organization System, is a W3C standard, based on other Semantic Web standards (RDF and OWL), that provides a way to represent controlled vocabularies, taxonomies and thesauri. Specifically, SKOS itself is an OWL ontology and it can be written out in any RDF syntax.
Before we dive into SKOS, what is the difference between Controlled Vocabulary, Taxonomy and Thesaurus?
A controlled vocabulary is a list of terms which a community or organization has agreed upon. For example: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday are the days of the week.
A taxonomy is a controlled vocabulary organized in a hierarchy. For example, we can have the terms Computer, Tablet and Laptop and the concepts Tablet and Laptop are subclasses of Computer because a Tablet and Laptop are types of Computers.
“The idea of the Big S Semantic Web seems to have fallen off by the wayside in publishing as people are just trying to structure their data,” says Barbara McGlamery, taxonomist at Martha Stewart Living Omnimedia.
McGlamery, who will be presenting a case study comparing her experiences in two publishing houses that took opposite approaches to the semantic web at the SemTech conference in NYC this month, says that the path most publishers are on now “hardly seems like the same beast” as the one she formerly knew. A few years back, the focus was on RDF, OWL, full-blown ontologies and inferencing engines, whereas today “it’s schema.org and we’re using microdata, not even RDFa.”
RDF has several syntaxes (Turtle, N3, etc) and XML is one of those (known as RDF/XML). Actually, RDF/XML is the only W3C standard syntax for RDF (Currently, there is Last Call on Turtle, a new W3C standard syntax for RDF). Therefore, comparing XML and RDF is like comparing apples with oranges. What can be compared is their data models. The RDF data model is a graph while the XML data model is a tree.
Comparing RDF with XML
Joshua Tauberer has an excellent comparison between RDF and XML, which I recommend. Two advantages of RDF are highlighted: flexibility of the data model and use of URIs as global unique identifiers.
Querying semantic databases isn’t necessarily the most user-friendly thing to do on the planet. Consultancy ABComputing is trying to change that, with its EQL (Entity Query Language) technology.
“We wanted to where possible have it so the syntax was more closely mirrored with SQL than with SPARQL because people understand SQL,” says Martin Bradford, primary developer at the company. “If you build on that knowledge, that helps matters.”
EQL came about from the company’s work on a potential contract that involved semantic technology. Exposure to the world of semantic web technologies and SPARQL in particular led Antonia Bradford, who started the firm a couple of decades ago, to conclude that there had to be a better way of working with RDF data without sacrificing the power inherent in the semantic web.
SPARQL 101: “SPARQL (pronounced “sparkle”) is the query language for the Semantic Web. Along with RDF and OWL, it is one of the three core technologies of the Semantic Web. This lesson introduces the SPARQL query language, starting with simple queries. Future lessons will build on this material with more advanced SPARQL concepts.” Read more
Attend the upcoming SemTech session that’s dubbed Using Semantic Technologies to Deliver Industrial Strength Healthcare Benefits Administration, and you’ll hear about how semantics- and model-driven computing is the future – and how it’s a future that’s already gotten underway at The Central Administrative Agency of the Netherlands (CAK).
First, a little bit about the bigger picture. “What can happen when you go all the way to semantic, model-driven, knowledge computing [is that] … it changes the game for development,” says Mills Davis, managing director of Project 10X and one of the session’s presenters. “It enables new categories of capabilities and levels of user experience (think SIRI for the rest of us). It brings about quantum changes in all stages of lifecycle value. It enables cost-effective strategy-driven approaches to enterprise transformation. This last sentence is worth some reflection.”
Back in March, The Semantic Web Blog wrote an article about FIBO, the Financial Industry Business Ontology that’s on its way to being an Object Management Group series of standards. There, we explored its value as an open semantic standard that can be used by financial institutions and industry regulators, both to support conformance to federal regulatory reporting requirements and for internal business processes and risk analysis.
To continue the discussion about the operational value of FIBO, we recently spoke with key participants developing the standard: David Newman, Strategic Planning Manager, Vice President, Enterprise Architecture, Wells Fargo Bank, who is lead of the industry team collaborating on semantics OTC (over-the-counter) derivatives proof-of-concept, and Mike Atkin, managing director at the Enterprise Data Management (EDM) Council, where FIBO was born and is included as content of EDM’s Semantics Repository.