TIM Energy Info

TIM Energy has been built using the technologies and R&D priorities identified in the SET-plan of the European Commission. It contains many technologies and concepts related to energy but is by far not exhaustive. Please see the user guide and the description of the visualisations below to discover all the functionalities of TIM Energy.

User guide (PDF) Quick start

Entity Matching

TIM Energy puts together data from different sources. A cleaning process based on entity matching is applied on the raw data. This is necessary to clean the data by removing duplicates, getting rid of wrong entity names and attribute a unique identifier to organisations. The trade off in cleaning the data is a recall of entities from the raw data which does not reach a 100% (so far between 70% and 80%). The TIM team is working towards improving this process. If you really need to visualise the maps with raw data, please contact us.

Visualisation

Each network graphs is composed of nodes and edges: nodes represent bundles of document having metadata in common (for example all the patents from Germany); an edge exists between two nodes when they contain one or more documents in common. Both nodes and edges vary in size with the number of data items. In addition, TIM clusters nodes into communities by calculating their modularity, which is a measure of the connectedness between the nodes. Communities of nodes are defined as groups of densely interconnected nodes that only sparsely connect with the rest of the network. These communities of different colours help the user to visually perceive the structure of the network and the interactions between nodes and communities.

These are the network graphs and visualisations that are currently available in TIM Energy :

Technology

Shows the technologies in each thematic of TIM Edge, their relative importance (in terms of number of documents) and their interactions.

Patent Classes

Allows to visualise the patents in the dataset according to their classification in the Cooperative Patent Classification (CPC) system.

Organization

Displays the data by organisation and the collaborations between these (e.g. co-patenting and/or co-publishing and/or co-beneficiaries of the same EU grant).

Author Keywords

Allows to navigate through the keywords chosen by authors of scientific papers to describe the topic(s) of their paper.

Cities

Displays the data according to the cities where the organisations are located.

Automatic keywords

Allows to navigate through keywords generated by language processing algorithms applied on the dataset (technology) to characterise each document.

Countries

Displays the data according to the countries where the organisations are based.

News

Links and computes the number of the latest news related to the topic of the dataset.

World

Displays the data according to the countries where the organisations are based, with all Member States of the EU aggregated into one node.

Documents

Lists the documents in the dataset with the links to access them.

EU

Displays the data according to countries in Europe where the organisations are based.

Histogram

Shows the number of patents, conference proceedings, book chapters, and others per year.

Regions

Displays the data according to the regions (NUTS2 and NUTS 3 codes) where organisations are based.

Technology Trends

Presents some indicators relating to the development of the technologies.

Map projection

Locates relevant organisations on a world map.

Year

Sorts the data items by year of publications, year of priority date for patent or year of grant for EU projects.

Journal Categories

Allows to visualise the subject categories associated to the journals in which the scientific papers are published.