Paper Info
Title
Flexibility and utility of the cell cycle ontology
Abstract
The Cell Cycle Ontology CCO has the aim to provide a 'one stop shop' for scientists interested in the biology of the cell cycle that would like to ask questions from a molecular and/or systems perspective: what are the genes, proteins, and so on involved in the regulation of cell division? How do they interact to produce the effects observed in the regulation of the cell cycle? To answer these questions, the CCO must integrate a large amount of knowledge from diverse sources; the irregularity and incompleteness of this information suggests an ontology can act as the means of this integration. The volatility and continued expansion of biological knowledge means the content and modelling of the CCO will have to be frequently changed and updated. The CCO is generated from the input data automatically once every two months. This makes it easy to change the representation to enable certain queries; incorporate new knowledge; and consistently apply design patterns across the CCO. The automatic process also allows the CCO to be delivered in a variety of representations that suit the needs of various CCO customers and the abilities of existing toolsets. In this paper we present the CCO and its characteristics of utility and flexibility, that, from our perspective, make it a beautiful ontology.
Year
DOI
Venue
2011
10.3233/AO-2011-0097
Applied Ontology
Keywords
Field
DocType
biological knowledge,various cco customer,cell division,knowledge management,systems perspective,owl,new knowledge,cell cycle ontology,bio-ontology,standardisation,utility,flexibility,beautiful ontology,cell cycle,obo,automatic process,certain query,knowledge,resource,biology,design patterns,semantic web,database,evolution,uniprot
Ontology,Data mining,Ask price,One stop shop,UniProt,Gene ontology,Computer science,Knowledge management,Software design pattern,Semantic Web
Journal
Volume
Issue
ISSN
6
3
1570-5838
Citations 
PageRank 
References 
2
0.43
20
Authors
7
Name
Order
Citations
PageRank
Vladimir Mironov117711.87
Erick Antezana233226.42
Mikel Egaña3864.49
Ward Blondé4745.30
Bernard De Baets52994300.39
Martin Kuiper652132.47
Robert Stevens75538499.01