Title
Enhanced semantic access to the protein engineering literature using ontologies populated by text mining.
Abstract
The biomedical literature is growing at an ever-increasing rate, which pronounces the need to support scientists with advanced, automated means of accessing knowledge. We investigate a novel approach employing description logics (DL)-based queries made to formal ontologies that have been created using the results of text mining full-text research papers. In this paradigm, an OWL-DL ontology becomes populated with instances detected through natural language processing (NLP). The generated ontology can be queried by biologists using DL reasoners or integrated into bioinformatics workflows for further automated analyses. We demonstrate the feasibility of this approach with a system targeting the protein mutation literature.
Year
DOI
Venue
2007
10.1504/IJBRA.2007.015009
IJBRA
Keywords
Field
DocType
protein mutations,protein mutation literature,description logics.,bioinformatics workflows,protein engineering literature,enhanced semantic access,automated mean,accessing knowledge,formal ontology,owl-dl ontology,querying owl-dl ontologies,semantic web,ontological nlp,au- tomated reasoning in bioinformatics,biomedical literature,dl reasoner,automated analysis,novel approach,text mining,description logic,protein engineering,automated reasoning,natural language processing,bioinformatics,information retrieval,description logics
Ontology (information science),Automated reasoning,Ontology,Text mining,Information retrieval,Computer science,Semantic Web,Description logic,Bioinformatics,Workflow
Journal
Volume
Issue
ISSN
3
3
1744-5485
Citations 
PageRank 
References 
9
0.79
29
Authors
3
Name
Order
Citations
PageRank
René Witte1234.45
Thomas Kappler2383.80
christopher j o baker332930.96