Computing Atlas

How Computing Was Built
Sign In
Text size
100%
Theme
Pioneer

Sophia Ananiadou

Computing Methodologies

Sophia Ananiadou is a Greek British computer scientist and computational linguist born in Athens in 1957, a professor of computer science at the University of Manchester and director of the National Centre for Text Mining in the United Kingdom. Her research addresses natural language processing and text mining, particularly the mining of biomedical literature for knowledge discovery and semantic search, building on degrees from the University of Athens and the University of Paris VII and Paris IV before a doctorate in computational linguistics from the University of Manchester Institute of Science and Technology in 1988. Her honors include the Daiwa Adrian Prize, multiple IBM UIMA Innovation Awards, an honorary doctorate from the University of the Aegean, a fellowship at the Alan Turing Institute, and fellowship of the ELLIS Society.

Facts
Birth Year
1957 1
Birth Date
1957-12-31 1
Award
Daiwa Adrian Prize 1
Connections

In Field

Source Sophia Ananiadou (Wikipedia)
In the Other Atlases

Nationality

Also in Geography Atlas: the nationality of this subject.

Also in Geography Atlas: the nationality of this subject.

Sources
1. Wikidata: Sofia Ananiadou
  • Wikidata Q30318445, resolved via en.wikipedia pageprops (wave rule R-L)
  • Wikidata Q30318445 P569 (date of birth)
View the Source
Sophia Ananiadou (Wikipedia)
In Field: Natural Language Processing, Lead
Quote, In Field: Natural Language Processing, Lead
Her research focusses on biomedical text mining and natural language processing and has fed into the development of numerous applications that, for example, facilitate the discovery of new knowledge, enable exploration of historical archives, allow semantic search of biomedical literature, reduce human effort in screening search hits for production of systematic reviews, enable enrichment of metabolic pathway models with evidence from the literature, allow discovery of risk in the construction industry from health and safety incident reports and enable interoperability of components in text mining workflows.
View the Source
Comments (0)
No comments yet. Be the first to share a thought.
Reader Challenges (0)
No disputes yet. Spotted an error or a better source? Open the first one.