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Ontology/Ontologies

Spanish DBpedia Launched

A new article reports, “After months of gratuitous hard work and cooperation by higher education students and experts, the Spanish version of DBpedia, also known as the Spanish Semantic Wikipedia, has finally come into being. The Spanish DBpedia contains 70 million data that account for 80% of the information in the Spanish Wikipedia and now rivals other languages like English or French… DBpedia is a project for extracting Wikipedia data and building a semantic version of this Internet encyclopaedia. It is a community effort for extracting structured information from the Wikipedia and making it accessible on the Web.” Read more

SemTechBiz is Less Than 3 Weeks Away

The Semantic Tech & Business Conference (SemTechBiz) is coming to San Francisco on June 3-7! Join us for case studies, innovative panels, tutorials, and keynotes that will provide you with practical advice, hands-on guidance, and breakthrough approaches to solving business problems with semantic technology. Passes go up $200 at the door. Sign up now and save !

The Semantic Link on Financial Services with Guest, Lee Feigenbaum – May, 2012

Paul Miller, Bernadette Hyland, Ivan Herman, Eric Hoffer, Andraz Tori, Peter Brown, Christine Connors, Eric Franzon

On Friday, May 11, a group of Semantic Technology thought leaders from around the globe met with their host and colleague, Paul Miller, for the latest installment of the Semantic Link, a monthly podcast covering the world of Semantic Technologies. This episode includes a discussion about Semantics in the Financial Services Industry, and “the Linkers” were joined by special guest, Lee Feigenbaum, VP Marketing & Technology at Cambridge Semantics. Lee shared insights gained over many years working in the semantic technology field and with numerous customers in the financial services industry.
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Schema.org Now Supports External Lists

The schema.org official blog has announced support for enumerated lists. Adding this support allows developers using schema.org to use selected externally maintained vocabularies in their schema.org markup. According to the W3C-hosted schema.org WebSchemas wiki, “This is in addition to the existing extension mechanisms we support, and the general ability to include whatever markup you like in your pages. The focus here is on external vocabularies which can be thought of as ‘supported’ (or anticipated) in some sense by schema.org.”

In other words, “Schema.org markup uses links into well-known authority lists to clarify which particular instance of a schema.org type (eg. Country) is being mentioned.”

For example, consider a list of countries of the world. A developer could use this URI from Wikipedia to reference the USA or this one from the UN FAO, or this one from GeoNames.

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The Flexibility of Semantic Technology

Rob Gonzalez of Cambridge Semantics recently commented on a LinkedIn thread started by Michael Uschold. Uschold asked the question, “How is semantic technology more flexible than relational technology?” One commenter stated, “If you ‘mess up’ your choice of initial vocabulary, then semantic systems have similar sorts of problems to relational systems, in that you may have to restructure the vocabulary at a later date (just like you have to restructure relational schemas), and hence restructure the data. My experience suggests that such restructuring happens (far?) less often with semantic systems than with relational systems, and that the restructuring is easier, since you can always treat your data as one big list of triples.” Read more

At The Tribune Company, The Semantic Tech Evolution Is Cultural, Too

While much of the publishing industry still is getting up to speed on what semantic technology can do for business, it’s already deep within the DNA of The Tribune Company – to the point where Keith DeWeese, Director, Information and Semantics Management, can comfortably use the word “ontology” in discussions with non-tech employees, and enjoy the fact that they’re equally comfortable using it themselves.

DeWeese has been with the company since 2007, putting in place a sophisticated semantic system for auto-tagging and indexing content using natural language processing and controlled vocabularies, and leveraging its taxonomy for projects such as providing advanced search functionality. Thanks to building a collaborative communication channel with Tribune executives, producers, and editors, “now I actually am in meetings with executives who say how exciting it is that we now can be part of a community of people applying semantic technologies to content,” he says. “The other day I was at a meeting where a top executive used the word ontology all the time. I kept smiling and later I thanked her.”

Closely engaging with his business customers also is helping make it possible to push the semantic vision further at the company.

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Furthering Life Sciences with Ontologies

Janna Hastings recently reported that ontologies have become an essential component of life science research. She writes, “Ontology has become the method of choice throughout most of biology and biomedicine for constructing and maintaining standardisations of the terminology used in database annotations.  This was the primary motivation for the development of the Gene Ontology, and remains until today a pressing and urgent requirement throughout computer-assisted science in many different fields.  This is thus the first application of bio-ontology in data-driven science.” Read more

Q-Sensei Enterprise 2.0 Offers Big Data Search

Q-Sensei Corporation has announced version 2.0 of Q-Sensei Enterprise, the company’s enterprise search platform. According to the company, the new version is “designed to rapidly and flexibly develop tailored search-based applications (SBAs) tapping the wealth of data from enterprise Intranets, social media, third parties and the Internet. The new platform features ontology-based data processing and configuration, and a new API to increase time-to-market, flexibility, scalability and efficiency in handling Big Data.” Read more

Financial Services Industry Sees Operational Value in FIBO

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.

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4 LOD Papers Featured at Museums and the Web

Jon Voss reports, “I’m excited to say that this year’s Museums and the Web features four published papers on Linked Open Data as well as a workshop for getting your hands dirty with data. My paper, Radically Open Cultural Heritage Data on the Web is kind of a wrap-up of the year’s work promoting LODLAM, examining our goals (which included making Linked Open Data a topic of conversation at global conferences–win!) and methodologies, as well as the road ahead.” Read more

30 Open Data Resources

Romy Misra has posted a list of thirty places to find open data on the web. Misra notes, “Finding an interesting data set and a story it tells can be the most difficult part of producing an infographic or data visualization. Data visualization is the end artifact, but it involves multiple steps – finding reliable data, getting the data in the right format, cleaning it up (an often underestimated step in the amount of time it takes!) and then finding the story you will eventually visualize. Following is a list useful resources for finding data. Your needs will vary from one project to another, but this list is a great place to start — and bookmark.” Read more

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