Posts Tagged ‘Key concepts and areas in TDM explained’

Ron Daniel

Key concepts and areas in TDM explained – Part 5: Knowledge Discovery

Ron DanielKnowledge discovery is the process of discovering new information. In text and data mining this happens for example by finding new connections or trends in a large amount of text and data. Ron Daniel is director at the Elsevier Labs. He explains  Knowledge Discovery and  Knowledge Representation in three short videos. 

Key concepts and areas in TDM explained – Part 4: Semantic Search

In the old days, if you would do a search in a search engine, you would get a lot of irrelevant hits that for some reason contained the keyword you used. Nowadays search engines give you much better results, because they put the keyword into context. This new way of searching is called ‘Semantic Search‘. Waleed Ammar of the Allen Intitute for Artificial Ingelligence explains semantic search, the challenges and the state-of-the-art in a few short video clips. 

Key concepts and areas in TDM explained – part 1

What are the benefits of text and data mining (TDM) and how can its practices be applied in science? We asked recognised experts in the field to introduce key areas and concepts in short videos. The videos will be released during the following weeks in a series of blogposts. Today we start with day 1: introduction to text and data mining. The videos will also be part of the TDM Knowledge Base .