The fungalweb ontology: semantic web challenges in bioinformatics and genomics

Authors:
Arash Shaban-Nejad;Christopher J. O. Baker;Volker Haarslev;Greg Butler
Affiliations:
Dept. of Comp. Sci. and Software Eng., Concordia University, Montreal, Canada;Dept. of Comp. Sci. and Software Eng., Concordia University, Montreal, Canada;Dept. of Comp. Sci. and Software Eng., Concordia University, Montreal, Canada;Dept. of Comp. Sci. and Software Eng., Concordia University, Montreal, Canada
Venue:
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Year:
2005

Citing 2
Cited 5

TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources

ISMB '98 Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology
RACER System Description

IJCAR '01 Proceedings of the First International Joint Conference on Automated Reasoning

Semantic web infrastructure for fungal enzyme biotechnologists

Web Semantics: Science, Services and Agents on the World Wide Web
GrOWL: A tool for visualization and editing of OWL ontologies

Web Semantics: Science, Services and Agents on the World Wide Web
Enhanced semantic access to the protein engineering literature using ontologies populated by text mining

International Journal of Bioinformatics Research and Applications
Bio2RDF: Towards a mashup to build bioinformatics knowledge systems

Journal of Biomedical Informatics
Using Selectional Restrictions to Query an OWL Ontology

Proceedings of the 2006 conference on Formal Ontology in Information Systems: Proceedings of the Fourth International Conference (FOIS 2006)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bioinformatics and genomics cover a wide range of different data formats (i.e. annotations, pathways, structures, sequences) derived from experimental and in-silico biological analysis which are stored, used, and manipulated by scientists and machines. The volume of this data is huge and usually distributed in different locations, and often frequently being updated. FungalWeb is the first project of its kind in Canada to focus on bringing semantic web technology to genomics. It aimed to bring together available expertise in ontologies, multi-agent systems, machine learning and natural language processing to build a tailored knowledgebase and semantic systems of direct use to the scientific discovery process in the domain of fungal genomics [1].