An incremental approach for discovering medical knowledge from texts

An ontology, intelligent agent-based framework for the provision of semantic web services

“…KAText is the language analyzer that has been used in this work. It is based on the methodology presented in Valencia-García, Ruiz-Sánchez, Vivancos-Vicente, Fernández-Breis, and Martínez-Béjar (2004) to get knowledge from text. This methodology, which makes use of both approaches ontology learning and incremental knowledge acquisition, is based on the idea that relationships between concepts are usually associated to verbs in natural language.…”

Mining protein–protein interaction information on the internet

“…For example, the MEDLINE database contains over 12 million citations dating back to the mid-1960s. Therefore, it has become an important issue for mining valuable biomedical information from the literature (Valencia-García, Ruiz-Sánchez, Vicente, Fernández-Breis, & Martínez-Béjar, 2004;Wang, Kuo, Chen, Hsiao, & Tsai, 2005), especially information on the Internet (Hong & Han, 2002). Expert systems and data mining techniques have been used for years in medical diagnosis domain (Alonso, Caraça-Valente, González, & Montes, 2002;Chou, Lee, Shao, & Chen, 2004).…”

A knowledge acquisition methodology to ontology construction for information retrieval from medical documents

“…Nowadays, most techniques for learning domain ontologies from free natural language text have important drawbacks. Thus, they can extract concepts in such a way that only hierarchies (taxonomies) of concepts are generated and/or make use of a very reduced set of semantic relations (Maedche & Staab, 2001) despite the fact that other types of semantic relations exist, including chronological and topological, that are very important for modelling a domain (Valencia‐García et al , 2004).…”

“…3.1.3. Inference In natural language, relationships between concepts are usually associated with verbs (Valencia‐García et al , 2004). The inference component is formed by a relational knowledge base that contains linguistic expressions representing generic conceptual relationships, and by an MCRDR subsystem that infers the participants in these relationships.…”