Posts Tagged ‘graph data’

GraphLab Raises $6.75M to Build ‘Hadoop for Graphs’

Robin Wauters of The Next Web reports, “Seattle startup GraphLab claims it is building the ‘fastest machine-learning analytics engine for graph datasets’, based on the popular open-source distributed graph computation framework with the same name, and it has just raised capital to come through on its promise. Founded by scientists from the University of Washington, Carnegie Mellon and UC Berkeley, GraphLab today announced that it has secured $6.75 million in a financing round led by Madrona and NEA.” Read more

GRUFF – Graph Search Browser extends Visual Query Building Capabilities

Gruff v5 and AllegroGraph Power Graph Search for Banking, Pharma Discovery, Health Care and Security Applications

OAKLAND, Calif. — April 23, 2013 – Franz Inc., the leading supplier of Graph Database technology for the Semantic Web, today announced Gruff v5.0, the industry’s leading RDF browser to view graph data, explore connections within data, and visually build queries without writing code.

The free-form nature of Graph style data offers a lot of flexibility for connecting data, but that freedom can also make it more challenging to find interesting patterns or simply navigate through your data. It has become typical for RDF data sets to contain thousands of classes and relationship types, making it hard to even formulate the analytics and queries you want to perform.

Gruff, a visual analytics and discovery tool, was developed by Franz to specifically address these Graph data challenges in large data sets. Gruff lets you intelligently explore graphs in multiple views:

  • Graphical View – See the shape and density of your graph data
  • Tabular view – Understand objects as a whole
  • Outline view – Explore the often hierarchical nature of graphs
  • Query view – Write Prolog or SPARQL queries
  • Graphical Query Builder – Create queries visually via drag and drop

Read more

Convergence of Semantic Tech, Cloud, Hadoop, & NoSQL Spurring Big Data

Rutrell Yasin recently wrote that a convergence of growing technologies, including semantic web technologies, will spur exciting Big Data projects in 2013. Yasin writes, “The maturity and convergence of four technologies will help government decision-makers derive more value from their big data projects in 2013, predicts Chris Biow, public sector CTO at MarkLogic, a developer of databases for big data applications. ‘Cloud computing, Hadoop and NoSQL databases are the three game-changing technologies that are being applied to big data,’ Biow said. ‘I think this is the year that government agencies get their hands around what each of them can and cannot do.’ Semantic technology is the fourth discipline to add to the equation, which can be used to extract facts from structured and unstructured data as well as handle relationships between data in a more flexible way than traditional relational databases, Biow said during an interview with GCN.” Read more

Thinking Differently with Graph Databases

Emil Eifrem, CEO of Neo Technology recently opined that graphs offer a new way of thinking. He explains, “Faced with the need to generate ever-greater insight and end-user value, some of the world’s most innovative companies — Google, Facebook, Twitter, Adobe and American Express among them — have turned to graph technologies to tackle the complexity at the heart of their data. To understand how graphs address data complexity, we need first to understand the nature of the complexity itself. In practical terms, data gets more complex as it gets bigger, more semi-structured, and more densely connected.” Read more

Video: ISWC’s Big Graph Data Panel

The recent International Semantic Web Conference produced a number of excellent sessions, including a very popular Big Graph Data Panel, captured on video by the folks at VideoLectures. The panel was moderated by Frank van Harmelen (Department of Computer Science, Faculty of Sciences, VU University Amsterdam), with panelists Tim Berners-Lee (W3C), John Giannandrea (Google), Mike Stonebraker (Massachusetts Institute of Technology, MIT), and Bryan Thompson (SYSTAP).

According to the description of the video, “The Semantic Web / Linked Data has grown immensely over the past years. When the Semantic Web community started working over a decade ago the main question was where to get the data from. By now the question of how to process ever increasing amount of semantic/linked data has come to people’s utmost attention. The goal of this panel is to shed light on the various approaches/options for Big Graph Data processing.” Read more

Franz Announces Gruff V4

Franz has announced Gruff version 4, “the industry’s leading RDF browser to view graph data, explore connections within data, and visually build queries without writing code. In addition, Gruff allows users to easily visualize the RDFa embedded metadata on websites and combine with open or proprietary data to infer new facts.”

The article goes on, “The free-form nature of Graph style data offers a lot of flexibility for constructing databases, but that freedom can also make it less obvious how to find arbitrary data for retrieval, error checking, or general browsing. Gruff is a graphical Resource Description Framework (RDF) database browser which makes data retrieval more pleasant and powerful by providing a variety of tools for laying out cyclical graphs, displaying tables of properties, managing queries, and building SPARQL and Prolog queries as visual diagrams.” Read more

Cray spin-off YarcData betting $100,000 on the power of graph data

Early in 2011, I wrote a piece here on SemanticWeb.com which explored the relationship between Semantic Technologies and super-computing’s venerable rock star, Cray. Then, earlier this year, Cray spun out a new division to focus upon exploring massive graph databases; something which should resonate with the semantic technology community. The new division — YarcData — differentiates itself quite clearly from its parent, leading with a data-led proposition and typically operating at quite a different pricepoint to its eye-wateringly expensive parent.

I sat down with YarcData President Arvind Parthasarathi during the Semantic Technology & Business Conference in San Francisco, to get an update on YarcData and to hear why the company is investing $100,000 in prizes for a new ‘Big Data Graph Analytics Challenge.’ Read more