Posts Tagged ‘semantic database’

Stardog 2.1 Hits Scalability Breakthrough

Stardog LogoWashington, DC – January 21, 2014 – The new release (2.1) of Stardog, a leading RDF database, hits new scalability heights with a 50-fold increase over previous versions. Using commodity server hardware at the $10,000 price point, Stardog can manage, query, search, and reason over datasets as large as 50B RDF triples.

The new scalability increases put Stardog into contention for the largest semantic technology, linked data, and other graph data enterprise projects. Stardog’s unique feature set, including reasoning and integrity constraint validation, at large scale means it will increasingly serve as the basis for complex software projects.

“We’re really happy about the new scalability of Stardog,” says Mike Grove, Clark & Parsia’s Chief Software Architect, “which makes us competitive with a handful of top graph database systems. And our feature set is unmatched by any of them.”

The new scalability work required software engineering to remove garbage collection pauses during query evaluation, which the 2.1 release also accomplishes. Along with a new hot backup capability, Stardog is more mature and production-capable than ever before.

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It’s Time To Take On Temporal Data Management For Semantic Data

Mankind has been trying to understand the nature of time since, well, since forever. How time works is a big question, with many different facets being explored by scientists, philosophers, even social-psychologists. Semantic technologists, however, are focusing a little more strategically, considering temporal data management for semantic data.

At the Semantic Technology and Business Conference in NYC, coming up in early October, Dean Allemang, principal consultant at Working Ontologist LLC will be hosting a panel on the topic of managing time in Linked Data. Relational database systems long have been tuned into dealing with bi-temporal data, which changes over two dimensions of time independently – that is, valid (real world) and transactional (database) time. Not so with RDF databases. But many institutions, in fields ranging from finance to health care, have no desire to go back.

“They’ll lose all the RDF powers they’re familiar with, all the semantic linkages,” says Allemang. “And if you want that kind of distributed data understood in your enterprise, a relational solution isn’t going to help.”

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Search Engines Focus on Mobile Devices, Get Local

Laurie Sullivan of SearchBlog reports, “Local search continues to be the focus of engines looking to capture market share. Blekko and Yandex launched mobile browsing features Tuesday that serve up information on nearby businesses. Blekko released izik (pronounced Isaac) for smartphones, bringing search to iOS and Android users. The company’s first app for smartphones features a new ‘What’s Nearby’ option to serve up information on gas stations, restaurants, movie theaters and other places of interest.” Read more

CWI & OpenLink Software Partner to Improve Semantic Databases

CWI reports, “Centrum Wiskunde & Informatica has cooperated with OpenLink Software, to help apply advanced database methods developed at CWI in the Virtuoso database product of OpenLink. The cooperation between CWI and OpenLink Software, was established in the European research project LOD2 (, that aims at strengthening the tools and technology for semantic data management. As a result of this cooperation, techniques pioneered at CWI like vector execution and column compression have now been included into the Virtuoso product by OpenLink, leading to breakthrough improvements in database performance.” Read more

NoSQL Database Platform Vendor MarkLogic Gets $25 Million, Promises To Go Deep On Semantics

Enterprise NoSQL database platform provider MarkLogic has come into some cash: a $25 million round of growth capital from investors including Sequoia Capital, Tenaya Capital, Northgate Capital, CEO Gary Bloom and other corporate executives. Yesterday, at the company’s MarkLogic World 2013 conference, Bloom also prepared the audience to hear more today from company executives about MarkLogic’s next steps in semantics for its MarkLogic Server technology that ingests, manages and searches structured, semi-structured, and unstructured data.

“The way to think about this is that when we look at semantics, we didn’t … say we just want to check a box on semantics,” Bloom said, by working with partners on some low-hanging fruit – although it will be collaborating with them on various semantic enrichment capabilities. “We think semantics is critical technology, and more interesting I believe is that it is a critical technology that is both a search technology as well as a database technology.” Others in the marketplace will focus on changing their search engines to do semantics, but optimum results won’t come if all that’s being done is layering in semantics at the search level, he said.

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EQL: What Happens When SPARQL Meets SQL

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.

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Getting a Semantic Database Off the Ground

Linda Tucci of Search CIO recently interviewed State Street Corporation Chief Scientist David Saul regarding “the challenges and tradeoffs of getting a semantic database off the ground, and how semantic technology could produce really big benefits for many companies, thanks to his and others’ efforts now under way to develop standards.”

Saul commented, “The first challenge I had [leveraging a semantic database] — and it is one that I actually enjoy and is part of my job — was just going around and talking to people about what is this semantic technology. Is it real? Is it something that can actually be exploited? Read more