TY - GEN
T1 - KDTA
T2 - Automated knowledge-driven text annotation
AU - Papantoniou, Katerina
AU - Tsatsaronis, George
AU - Paliouras, Georgios
PY - 2010
Y1 - 2010
N2 - In this paper we demonstrate a system that automatically annotates text documents with a given domain ontology's concepts. The annotation process utilizes lexical and Web resources to analyze the semantic similarity of text components with any of the ontology concepts, and outputs a list with the proposed annotations, accompanied with appropriate confidence values. The demonstrated system is available online and free to use, and it constitutes one of the main components of the KDTA (Knowledge-Driven Text Analysis) module of the CASAM European research project.
AB - In this paper we demonstrate a system that automatically annotates text documents with a given domain ontology's concepts. The annotation process utilizes lexical and Web resources to analyze the semantic similarity of text components with any of the ontology concepts, and outputs a list with the proposed annotations, accompanied with appropriate confidence values. The demonstrated system is available online and free to use, and it constitutes one of the main components of the KDTA (Knowledge-Driven Text Analysis) module of the CASAM European research project.
UR - https://www.scopus.com/pages/publications/77958064624
U2 - 10.1007/978-3-642-15939-8_45
DO - 10.1007/978-3-642-15939-8_45
M3 - Contribución a la conferencia
AN - SCOPUS:77958064624
SN - 3642159389
SN - 9783642159381
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 611
EP - 614
BT - Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2010, Proceedings
PB - Springer Verlag
ER -