According to a new article, “Expert System, the semantic software company, today announced the full integration of its Cogito semantic platform with the Apache Solr™ open source enterprise search platform. Through the integration with Cogito, organizations using Solr will be able to enhance their technology investment by delivering faster, more precise access to big data and enterprise content. Cogito exceeds the limits of traditional search and provides a deep understanding of words by fully understanding their meaning in context. Backed by a powerful semantic network enhanced by vertical knowledge for the most important sectors (finance, security, oil and gas, etc.), Cogito ensures higher precision and recall than traditional systems.” Read more

Anthony Myers of CMS Wire reports, “Semantic search provider Smartlogic is ready to integrate its Semaphore platform into Microsoft SharePoint 2013 and Office 2013, and upgrades include more ontology related Web parts and better multi-farm support for large-scale deployments. Semaphore already integrates with SharePoint Server 2007 and SharePoint 2010, and now that the 2013 version is here, Smartlogic has added customer requests like automating classifications to its enterprise search capabilities. ‘We’ve simplified certain key information management processes, such that manual effort is no longer needed,’ Matthieu Jonglez, Smartlogic chief technology officer said in a statement.” Read more

Callimachus is getting an update. It’s been quiet for a few months over at the framework for data-driven applications based on Linked Data principles, but with good reason, says David Wood, CTO of Callimachus project sponsor 3 Round Stones. 3 Round Stones also offers Callimachus Enterprise, winner of this year’s Startup Competition at the Semantic Technology and Business Conference in San Francisco.

Big things were on the menu for this release, which should emerge from beta today. To date, all the RDF that Callimachus has dealt with has been local to it, Wood explains. “People have been saying for ages, ‘But I don’t want to copy the LOD cloud into Callimachus to deal with it. I want to deal with a lot of data out there in the world, in enterprise systems, an Oracle server, or the LOD cloud,” he says.

The new release takes on the challenge of dealing with data that’s external to Callimachus.

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Thanks everyone for participating in the #SemWebRox Community Challenge!

Looking at the results (which have been pasted at the end of this article for convenience), I’m struck once again by the diversity of points of view in the Semantic Web community on what the key value of its technology really is. Over at Semantic University we summarized what we believe to be the two dominant camps (summary: AI-centric and flexible data management-centric) in the Semantic Web world, and the results of this exercise illustrate clearly that there are many nuances within those camps.

I’ll go into some highlights, but I think the why is still missing in many cases.  It’s the classic features-not-value predicament that plagues technologists and frustrates technology marketers.  We’re doing better, but we can and must do better still.

Data Flexibility: Data Integration

In terms of data flexibility, there are a number of themes that kept popping up.  Aaron Bradley first called out “cheaper enterprise data integration, and Lee Feigenbaum concurred by stating, “The Semantic Web is the only scalable approach for integrating diverse data.”  Another one I liked about data integration was from Abir: “Semantic Web technologies can make it possible to have true bottom-up web-scale automatic information integration.”

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Last week The Semantic Web Blog covered the launch of the SindiceTech Assisted SPARQL Editor as an open source project, noting that SparQLed also is part of SindiceTech’s commercial suite for large enterprises building private linked data clouds. This week, we’ll dive a little deeper into SindiceTech and its progress since the founders of the Sindice web of data search engine turned their attention to focusing on the commercial application of its technology as a real-time semantic warehousing infrastructure, which leverages cloud computing for integrating and normalizing the massive amounts of data the enterprise must deal with.

As SindiceTech founder and CEO Giovanni Tummarello explains, companies actually approached his team to help them make a reality of their visions to use RDF and SPARQL, as the best knowledge representation and querying technologies available, by providing the missing scalability and stability. Sindice.com was evidence that the technology the team had developed could answer these enterprises’ needs; currently there are about 700 million semantically marked-up web pages indexed in the Sindice.com search engine, with a live updated index of some 80 billion triples daily. Its database is over 5 terabytes.

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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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Derrick Harris reports that PureDiscovery, a Big Data startup that we have covered before, thinks that it “has the answer to outdated enterprise search technology, and it’s called BrainSpace. The company claims BrainSpace can learn just about everything about how pieces of content are related to one another. That means users will become less dependent on searching for information because the platform will feed them what they want to know as they interact with other content.” Read more

The latest version of the StreamGlider iPad news reader app for providing consumers with topic-oriented streams of information debuted this week. It brought with it the capability to limit hashtag or keyword searches in a Twitter, YouTube, or Flickr frame to a local area and turn on geo-awareness at the user’s request. But the bigger and more semantic event will be StreamGlider’s upcoming move to the enterprise, with the consumer app serving as a showcase to those potential customers.

StreamGlider CEO Bill McDaniel – also CEO of SemantiStar, which developed the application that The Semantic Web Blog first covered here and here – says to expect in the enterprise edition a very interesting semantic search/semantic relations engine in the background for correlating up to three data sets of semi-structured, unstructured and structured data. The company already is working with one client on a specific application of the generic technology for its custom needs, and talking to a second customer about a pilot around the idea.

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The upcoming SemTechBiz DC will feature numerous sessions about current and future uses of Semantic Technology in Enterprise systems. The conference will take place November 29-December 1, 2011 at the Kellogg Conference Hotel. The highly anticipated Enterprise Data track will include presentations from Revelytix, Franz, Recognos, and Spry, among many others.

Featured Sessions:

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Digimind has released Digimind 9, “the new updated Digimind software release designed to accompany forward-thinking organizations throughout their intelligence workflows. Digimind 9 comes in response to a growing demand from companies willing to complement their CI apparatus with such features included as advanced semantic analysis, social media monitoring, and intelligence profile management. Indeed, beyond the conventional intelligence workflows, more intelligence requirements surface nowadays to leverage on social networks, unstructured data, and related analysis.” Read more