A knowledge-driven approach to biomedical document conceptualization

• Published in: Artificial intelligence in medicine Vol. 49; no. 2; pp. 67 - 78
• Main Authors: Zheng, Hai-Tao, Borchert, Charles, Jiang, Yong
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.06.2010
• Subjects: Algorithms; Artificial Intelligence; Cluster Analysis; Computer Graphics; Conceptualization; Data Mining; Database Management Systems; Databases, Genetic; Gene ontology; Internal Medicine; Knowledge-driven approach; Latent semantic analysis; Medical Subject Heading; Medical Subject Headings; Natural Language Processing; Ontology; Other; Pattern Recognition, Automated; Semantics; User-Computer Interface; Vocabulary, Controlled; Medical Subject Heading; Gene ontology; Conceptualization; Knowledge-driven approach; Ontology; Latent semantic analysis

Biomedical document conceptualization is the process of clustering biomedical documents based on ontology-represented domain knowledge. The result of this process is the representation of the biomedical documents by a set of key concepts and their relationships. Most of clustering methods cluster do...