OpenLink Software (GB)

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OpenLink Software is a United Kingdom SME founded in 1992. It operates a business development and sales subsidiary in the United States. Most product development takes place within the EU, across the UK, Netherlands and Bulgaria. The company is a leading provider of high-performance, scalable, and secure technology covering: data access drivers, data virtualization middleware; native database management (RDBMS or RDF based Graph Store), and enterprise collaboration.

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Project Collaboration

OntoWiki.eu

Aim of the project is to advance and apply adaptive database and knowledge base techniques as well as user interface techniques to enable large-scale, end-user-driven semantic collaboration in the three application domains Enterprise Knowledge Management, E-Learning and E-Tourism. Read more about OntoWiki.eu

SAGE

Data integration is one of the main barriers to harnessing the full power of data in companies. Business-relevant data can be distributed across thousands of data silos in different formats in large companies. For companies driven by geospatial data (e.g., disaster management, automobile), the knowledge to be managed accounts for billions of rapidly changing facts (Big Data). Developing dedicated solutions for managing such large amounts of geospatial data is of central importance to improve the efficiency and effectiveness of data delivery for business-critical applications. However, dealing with geospatial data demands specific solutions for dealing with their intrinsic complexity (up to 5 dimensions) and the rapid changes in the data.

SAGE addresses exactly this challenge by aiming to develop dedicated algorithms for the management of big geospatial data. We will develop time-efficient storage and querying strategies for geospatial data by extending the GeoSPARQL standard so as to deal with continuous queries. A time-efficient knowledge extraction framework dedicated to recognizing geospatial entities will also be developed. In addition, we will focus on developing scalable link discovery approaches for streams of RDF data that will interplay with the storage solution while running on distributed solutions such as FLINK.

SAGE’s main result will be a set of interoperable solutions that implement time-efficient geospatial analytics that can be integrated into a high-performance solutions. These procedures will enable the fast deployment of SAGE-driven solutions such as triple store geospatial benchmarking, geographic based marketing, disaster management and the continuous delivery of big interlinked geospatial data. Using SAGE in data-driven companies promises to increase the reuse of company internal knowledge, the productivity of employees, the reduction of parallel development and a better use of company-internal resources.

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Data integration is one of the main barriers to harnessing the full power of data in companies. Business-relevant data can be distributed across thousands of data silos in different formats in large companies. For companies driven by geospatial data (e.g., disaster management, automobile), the knowledge to be managed accounts for billions of rapidly changing facts (Big Data). Developing dedicated solutions for managing such large amounts of geospatial data is of central importance to improve the efficiency and effectiveness of data delivery for business-critical applications. However, dealing with geospatial data demands specific solutions for dealing with their intrinsic complexity (up to 5 dimensions) and the rapid changes in the data.

SAGE addresses exactly this challenge by aiming to develop dedicated algorithms for the management of big geospatial data. We will develop time-efficient storage and querying strategies for geospatial data by extending the GeoSPARQL standard so as to deal with continuous queries. A time-efficient knowledge extraction framework dedicated to recognizing geospatial entities will also be developed. In addition, we will focus on developing scalable link discovery approaches for streams of RDF data that will interplay with the storage solution while running on distributed solutions such as FLINK.

SAGE’s main result will be a set of interoperable solutions that implement time-efficient geospatial analytics that can be integrated into a high-performance solutions. These procedures will enable the fast deployment of SAGE-driven solutions such as triple store geospatial benchmarking, geographic based marketing, disaster management and the continuous delivery of big interlinked geospatial data. Using SAGE in data-driven companies promises to increase the reuse of company internal knowledge, the productivity of employees, the reduction of parallel development and a better use of company-internal resources.

Read more about SAGE

News

DBpedia Day @ SEMANTiCS 2018 ( 2018-07-20T14:37:25+02:00 by Johannes Frey)

2018-07-20T14:37:25+02:00 by Johannes Frey

Don’t miss the 12th edition of the DBpedia Community Meeting in Vienna, the city with the highest quality of life in the world. Read more about "DBpedia Day @ SEMANTiCS 2018"

SANSA 0.4 (Semantic Analytics Stack) Released ( 2018-06-26T18:33:38+02:00 by Prof. Dr. Jens Lehmann)

2018-06-26T18:33:38+02:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.4 – the fourth release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.4 (Semantic Analytics Stack) Released"

AKSW is organizing the 6th Leipzig Semantic Web Day (LSWT2018) ( 2018-04-17T14:14:17+02:00 by Natanael Arndt)

2018-04-17T14:14:17+02:00 by Natanael Arndt

On June 18th 2018 we will have the 6th Leipzig Semantic Web Day (LSWT2018). A platform for regional actors to get in touch with each other regarding Semantic Web topics. Read more about "AKSW is organizing the 6th Leipzig Semantic Web Day (LSWT2018)"

SANSA 0.3 (Semantic Analytics Stack) Released ( 2017-12-18T11:15:38+01:00 by Simon Bin)

2017-12-18T11:15:38+01:00 by Simon Bin

Dear all, We are happy to announce SANSA 0.3 – the third release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.3 (Semantic Analytics Stack) Released"

DBpedia @ SEMANTiCS 2017 ( 2017-09-04T15:25:14+02:00 by Sandra Bartsch)

2017-09-04T15:25:14+02:00 by Sandra Bartsch

We are happy to invite you to the 10th DBpedia Community Meeting which will be held in Amsterdam. During the SEMANTiCS 2017, Sep 11-14, the DBpedia Community will get together on the 14th of September for the DBpdia Day. Read more about "DBpedia @ SEMANTiCS 2017"