Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Knowledge maps: An essential technique for conceptualisation
Data & Knowledge Engineering
Knowledge Processes and Ontologies
IEEE Intelligent Systems
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
The PROMPT suite: interactive tools for ontology merging and mapping
International Journal of Human-Computer Studies
Biomedical named entity recognition using two-phase model based on SVMs
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Effective adaptation of a Hidden Markov Model-based named entity recognizer for biomedical domain
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Bio-Ontology and text: bridging the modeling gap
Bioinformatics
Text Mining for Biology And Biomedicine
Text Mining for Biology And Biomedicine
Classifying semantic relations in bioscience texts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Bidirectional inference with the easiest-first strategy for tagging sequence data
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Extraction and use of linguistic patterns for modelling medical guidelines
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
Learning non-taxonomic relationships from web documents for domain ontology construction
Data & Knowledge Engineering
Information Sciences: an International Journal
An ontology-based business intelligence application in a financial knowledge management system
Expert Systems with Applications: An International Journal
How valuable is medical social media data? Content analysis of the medical web
Information Sciences: an International Journal
Semantic information integration and question answering based on pervasive agent ontology
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Biomedical named entity recognition using conditional random fields and rich feature sets
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Expert Systems with Applications: An International Journal
RelExt: a tool for relation extraction from text in ontology extension
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Text2Onto: a framework for ontology learning and data-driven change discovery
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
SocialBROKER: A collaborative social space for gathering semantically-enhanced financial information
Expert Systems with Applications: An International Journal
Computers & Education
Social knowledge-based recommender system. Application to the movies domain
Expert Systems with Applications: An International Journal
A semantic role labelling-based framework for learning ontologies from Spanish documents
Expert Systems with Applications: An International Journal
Creating a semantically-enhanced cloud services environment through ontology evolution
Future Generation Computer Systems
| Hi-index | 12.06 |
The generation of new knowledge is continuous in biomedical domains, thus biomedical literature is becoming harder to understand. Ontologies provide vocabulary standardization, so they can be helpful to facilitate the understanding of biomedical texts. In this work, a methodology for building biomedical ontologies from texts is presented. This approach relies on natural language processing and incremental knowledge acquisition techniques to obtain the relevant concepts and relations to be included in an OWL ontology. Additionally, we provide an algorithm to connect the isolated concepts regions in the ontology using UMLS. We also discuss in this paper the experiment carried out to validate our approach and its positive results in terms of performance and scalability.