Category Archives: Data Science

A Ruby Gem for the European Patent Office API (OPS)

One of the biggest sources of open data is the patent literature. The patent related data reveals a significant body of information related to the innovation activities worldwide. The European Patent Office (EPO) is responsible for all patenting activities with pan-European scope and its databases integrate a significant body of patenting related information worldwide. For accessing this data the EPO provides an API to this data which is called Open Patent Services (OPS). We developed and released as Open Source a Ruby Gems which allows you to conveniently access the EPO API in all your Ruby applications.

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How much renewable energy capacity is already installed in your region?

Have you ever wondered how much renewable energy sources are already installed in your region? And how much it is compared to the still existing nuclear and fossil power plants?

If yes, our ELMEX tool will give you an answer. The National Regulatory Authority (“Bundesnetzagentur”) does regularly publish a list of all running power plants in Germany, including the information on capacity and dominant energy source. We took this nice open data and fed our book of competitors framework with it. As a result we have now fact sheets for each power plant in Germany in our new system, which we call ELMEX (ELectricity Markets and EXchange Database). The figure shows the fact sheet look for a gas-fired plant in Leipzig. Continue reading How much renewable energy capacity is already installed in your region?

Open Data Drives Competitive Intelligence for Patent Law Firms

Patent information is a wealth of open data. It is used for a lot of applications in innovation intelligence, like patent landscaping or expert extraction. We wanted to add a new competitive intelligence  application into this list.

Each patent does not only disclose the technology itselfs, but also who the inventor (a natural person) and the applicant (usually a company behind the inventor) is. (An example EPO record for a patent is here). The patent does also disclose which patent attorney has worked on it. Connecting these dots allows to mine customer relationships between the technology companies (which act as applicants) and the patent law firms (which act as agent).

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OROPO – Open Data initiative on patent ownership starts to take-off

Launched in June 2015 ORoPO claims to be a global database of patent owners verified by companies committed to openness and transparency.

We need more smart data in the field of technology markets. Therefore we appreciate initiatives like ORoPO very much. As soon as open data on patent ownership is available, we will try to integrate it into our IP Industry Base. Follow here our regular updates on ORoPO.

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The long history of patenting companies and the new kids on the block

Recently we stumbled again across the GeoTemCo project from our esteemed colleagues at the image and signal processing department at the University of Leipzig. GeoTempCo is described as a web-based application which can easily be utilized to visualize data under geospatial, temporal and topical aspects. The main use case of GeoTemCo is the comparative analysis of several datasets. The tool is open-source and easy to set-up, hence we decided to play a bit with our data about the IP service industry.

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Where are the hot spots of the global IP Service Industry?

End of January 2014 the IP Industry Base covered more than 1,590 different providers in the global market on IP-related services. For these companies our database contained 3,202 offices in 837 different cities. This makes it a perfect showcase for the heatmap.js toolkit authored by Patrick Wied. The heatmap below shows how the offices of the IP Service Industry are spread globally.

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