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The Knowledge Graph is a model of a knowledge domain created by subject-matter experts with the help of intelligent machine learning algorithms. It provides a structure and common interface for innovation data and enables the creation of smart multilateral relations throughout patent and IP data. Structured as an additional virtual data layer, the Knowledge Graph lies on top of our databases or data sets to link all data together at scale – be it structured or unstructured.
The following knowledge graph shows the top 10 technological topics the company is operating in, ranked by patent strength (based on OECD's recommended Patent Quality Composite Index). This provides a good overview of the innovative profile.
Knowing who your competitors are, and what they are offering, can help you to make your products, services and marketing stand out. It will enable you to set your prices competitively and help you to respond to rival marketing campaigns with your own initiatives. You can use this knowledge to create marketing strategies that take advantage of your competitors' weaknesses, and improve your own business performance. You can also assess any threats posed by both new entrants to your market and current competitors. This knowledge will help you to be realistic about how successful you can be.
This section displays the cluster structure of patents in the citation space. A two-dimensional representation of the corporation, its applicants, its strongest technological topics, its patents, patents citing them and applicants owning these citing patents. Sizes of the nodes represent the different patent strengths (based on OECD ratings). Data is clustered by the strongest fields and relationships between them can be recognized by the naked eye. The resulting visual clusters show the dependencies between them, whereas local densities and gravity is used to structure the graph.
Historical patent filing activity over time.
A word cloud is a popular visualization of words typically associated with Internet keywords and text data. They are most commonly used to highlight popular or trending terms based on frequency of use and prominence. A word cloud is a beautiful, informative image that communicates much in a single glance. In this case, a word cloud has been created utilizing the words found in the strongest patent filings of the company in the period over the last 5 years. This shows the currently most important terms of their technology.
The strongest patents. Patent quality indicators try to capture both the technological and the economic value of innovations, and are typically based on patent citations, claims, patent renewals and patent family size. They are considered meaningful measures of research productivity and are found to be correlated with the social and private value of the patented inventions. The difference in average patent quality across firms is generally associated with the market evaluation of firms. The patent quality indicator is a composite indicator based on four to six dimensions of patents’ underlying quality: forward citations; patent family size; number of claims; generality index; plus backward citations and grant lag. It builds on Lanjouw and Shankerman (2004) and incorporates the generality measure, and a measure accounting for the length of the examination process (i.e. the grant lag index). All components are normalised according to patent cohorts stratified by year and technological field and are given equal importance (no weights).
This patent quality measures aim to facilitate analysis both at the level of the individual patent and at the aggregate patent portfolio level. They are intended to help addressing a number of policy- relevant questions, for example, related to: firms innovation strategies and performance; enterprise dynamics, including the drivers of enterprise creation and of mergers and acquisitions; the determinants of productivity; the financing of innovative enterprises; the output of R&D activities and the returns to R&D investments; the depreciation of R&D; the output of universities and of public research organisations.
Number of forward citations (up to 5 years after publication); patent family size; number of claims; the patent generality index; number of backward citations; and the grant lag index. Only granted patents are covered by the index. Patent Quality Index(high) contains all stocks in the top 75% percentile.
The most recent patents associated with this organisation:
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