Smart Data Web: Creation of an industry knowledge base for the German industry.

The Smart Data Web project has to goal to create an industry knowledge base for the German industry.

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Smart Data Web is a BMWi funded project. The central goal of the Smart Data Web project is to leverage state-of-the-art data extraction and enrichment technologies as well as Linked Data to create value-added systems for the German industry. Knowledge which is relevant to decision-making processes will be extracted from government and industry data, official web pages and social media. Then the data will be analyzed using natural language processing frameworks and then it will be integrated into knowledge graphs. These knowledge graphs will be accessible via dashboards and APIs, as well as via Linked Data. Special concern will be given to legal questions, such as data licensing as well as data security and privacy.

AKSW, which is representing the University of Leipzig in this project, will develop the Knowledge Graph, which is the central aggregation and integration interface of Smart Data Web. Unlike most current Linked Data knowledge bases, the German Knowledge Graph will focus on industry-relevant data. The graph will be developed in an iterative extraction, integration and interlinking process, building on proven technologies of the Linked Data Stack. Data quality and persistence are a special priority of the German Knowledge Graph since consistency has to be guaranteed at all times. RDFUnit is our tool of choice to accomplish this task.

Smart Data Web will contribute significantly to overcome the barriers that hinder the integration of Semantic Web technologies, Web 2.0 data and data analysis for commercial applications.

Publications

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News

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"

13th DBpedia community meeting in Leipzig ( 2019-02-22T12:22:07+01:00 by Julia Holze)

2019-02-22T12:22:07+01:00 by Julia Holze

We are happy to invite you to join the 13th edition of the DBpedia Community Meeting, which will be held in Leipzig. Read more about "13th DBpedia community meeting in Leipzig"

SANSA 0.5 (Semantic Analytics Stack) Released ( 2018-12-13T09:25:34+01:00 by Prof. Dr. Jens Lehmann)

2018-12-13T09:25:34+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.5 – the fifth release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.5 (Semantic Analytics Stack) Released"

AKSW at web.br in São Paulo ( 2018-10-22T09:37:49+02:00 by Natanael Arndt)

2018-10-22T09:37:49+02:00 by Natanael Arndt

From October 1st until 6th a delegation from AKSW Group, Leipzig University of Applied Sciences (HTWK), eccenca GmbH, and Max Planck Institute for Human Cognitive and Brain Sciences went to São Paulo, Brazil to meet people from the Web Technologies … Continue reading → Read more about "AKSW at web.br in São Paulo"

AskNow 0.1 Released ( 2018-09-13T15:35:04+02:00 by Prof. Dr. Jens Lehmann)

2018-09-13T15:35:04+02:00 by Prof. Dr. Jens Lehmann

Dear all, we are very happy to announce AskNow 0.1 – the initial release of Question Answering Components and Tools over RDF Knowledge Graphs. Website: http://asknow.sda.tech/ Demo: http://asknowdemo.sda.tech GitHub: https://github. Read more about "AskNow 0.1 Released"