Posts Tagged ‘SindiceTech’

Is A Knowledge Graph-Related Acquisition In Yahoo’s Future?

sdtechIs SindiceTech about to be acquired by Yahoo? Just last month The Semantic Web Blog reported on the formal relaunch of the company’s activities following the finalization of its separation from its university incubation setting at the former DERI institute in Ireland. Now, according to the Sunday Independent, Yahoo – which the article says had originally planned on buying the company late last year but saw negotiations collapse – may resume talks on the matter.

Yahoo, the article says, “refused to comment on the Sindice-Tech deal, calling it as ‘rumour and speculation.’” SindiceTech CEO Giovanni Tummarello also says that he cannot comment on this. He did note, however, that media, search and advertising are prime sectors for employing Knowledge Graphs. “In scenarios where there is much more (semi-structured) information than one knows how to leverage right away, Big Data graph-like knowledge management and moving from search to relational and entity search is a common theme these days,” he wrote in an email to The Semantic Web Blog.

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SindiceTech Relaunch Features SIREn Search System, PivotBrowser Relational Faceted Browser

sindiceLast week news came from SindiceTech about the availability of its SindiceTech Freebase Distribution for the cloud (see our story here). SindiceTech has finalized its separation from the university setting in which it incubated, the former DERI institute, now a part of the Insight Center for Data Analytics, and now is re-launching its activities, with more new solutions and capabilities on the way.

“The first thing was to launch the Knowledge Graph distribution in the cloud,” says CEO Giovanni Tummarello. “The Freebase distribution showcases how it is possible to quickly have a really large Knowledge Graph in one’s own private cloud space.” The distribution comes instrumented with some of the tools SindiceTech has developed to help users both understand and make use of the data, he says, noting that “the idea of the Knowledge Graph is to have a data integration space that makes it very simple to add new information, but all that power is at risk of being lost without the tools to understand what is in the Knowledge Graph.”

Included in the first round of the distribution’s tools for composing queries and understanding the data as a whole are the Data Types Explorer (in both tabular and graph versions), and the Assisted SPARQL Query Editor. The next releases will increase the number of tools and provide updated data. “Among the tools expected is an advanced Knowledge Graph entity search system based on our newly released SIREn search system,” he says.

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SindiceTech Announces Freebase Distribution in the Cloud (Video)

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With the support of Google Developers, SindiceTech has announced the availability of its Freebase Distribution for the cloud. According to SindiceTech, “Freebase is an amazing data resource at the core of Google’s ‘Knowledge Graph’. Freebase data is available for full download but today, using it ‘as a whole’ is all but simple. The SindiceTech Freebase distribution solves that by providing all the Freebase knowledge preloaded in an RDF specific database (also called triplestore) and equipped with a set of tools that make it much easier to compose queries and understand the data as a whole.”

Your Own Private Freebase

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Universities Put Cash Towards Helping HomeGrown Tech Startups Along

Image Photo Courtesy Flickr/401(K) 2012

Universities play an important role in advancing the technology ecosystem, semantic technology included. Look for starters at work done at The Tetherless World Constellation at Rensselaer Polytechnic Institute, Wright State University’s Kno.e.sis Ohio Center of Excellence in Knowledge-enabled Computing, MIT, and the Digital Enterprise Research Institute located at the National University of Ireland, Galway.

In addition to driving technology ever forward, institutions like these and others also provide a home for incubating good ideas that could become good businesses. Music discovery service Seevl and the enterprise-focused SindiceTech are two examples of semantic spin-outs from DERI, for instance, while MIT Media Lab gave birth to commercial properties with semantic underpinnings including music intelligence platform The Echo Nest. The Kno.e.sis Center points work it’s doing in the commercial direction, too: Its LinkedIn profile description notes that its “work is predominantly multidisciplinary, and multi-institutional, often involving industry collaborations and significant systems developing, with an eye towards real-world impact, technology licensing, and commercialization.”

Given the projects with commercial prospects underway within their own houses, it would seem there’s opportunity for universities themselves to look for even more ways to contribute to that success. And that’s just what the University of Minnesota is doing: This week it said that it’s launching a $20 million seed fund over a ten-year timeframe to support the innovative ideas to which its campus plays host.

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SindiceTech Helps Enterprises Build Private Linked Data Clouds

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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SindiceTech Releases SparQLed As Open Source Project To Simplify Writing SPARQL Queries

(Editor’s Note, June 29: The SparQLed project URL now is available here.)

SindiceTech today released SparQLed, the SindiceTech Assisted SPARQL Editor, as an open source project. SindiceTech, a spinoff company from the DERI Institute, commercializes large-scale, Big Data infrastructures for enterprises dealing with semantic data. It has roots in the semantic web index Sindice, which lets users collect, search, and query semantically marked-up web data (see our story here).

SparQLed also is one of the components of the commercial Sindice Suite for helping large enterprises build private linked data clouds. It is designed to give users all the help they need to write SPARQL queries to extract information from interconnected datasets.

“SPARQL is exciting but it’s difficult to develop and work with,” says Giovanni Tummarello, who led the efforts around the Sindice search and analysis engine and is founder and CEO of SindiceTech.

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SindiceTech Offers Semantic Solutions for Data Management

Philip Connolly of the Daily Business Post recently profiled Galway-based semantic start up, SindiceTech. According to Connolly, “While many people never look underneath the bonnet of the internet, web technology never stands still. Many people see the semantic web as the next step, a technology that allows machines to understand the meaning of information on the web. Most of us online will probably not notice semantic web technologies running in the background, the technologies could lead to an improvement in the relevance of the data returned through search engines for both individuals and enterprises using large amounts of data.” Read more