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Bio-medical Ontologies Maintenance and Change Management

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2 The New Waves<br />

Towards <strong>Bio</strong>informatics Resourceomes 19<br />

Here we briefly summarize some recent innovations in Information Technology<br />

<strong>and</strong> their impact in bioinformatics.<br />

2.1 <strong>Ontologies</strong><br />

In philosophy, ontology is, since the ancient Greeks, the study of being or<br />

existence. In applied computer science recently we witnessed a massive diffusion<br />

of ontologies. They are now used to model, by mean of a ontology formal<br />

language, the knowledge concerning a particular domain. The concepts of the<br />

domain can be precisely defined as well as the relationships between those<br />

concepts. The actual objects of the domain are represented as instances of<br />

the concepts <strong>and</strong> it is possible to perform formal reasoning on them, automatically<br />

inferring new knowledge.<br />

<strong>Bio</strong>informatics <strong>and</strong> biomedicine undoubtedly contributed to (<strong>and</strong> benefited<br />

of) this generalized diffusion of ontologies (or ontology-like structures [35])<br />

in science. In order to provide some coordination to these efforts the Open<br />

<strong>Bio</strong><strong>medical</strong> <strong>Ontologies</strong> (OBO 10 ) consortium was established. The renewed<br />

OBO Foundry website lists today more than sixty ontologies, ranging from<br />

“Animal natural history” to “Zebrafish anatomy <strong>and</strong> development”. In particular<br />

in bioinformatics the role of ontologies has moved from a niche activity<br />

to a mainstream one [8]. According to Bodenreider <strong>and</strong> Stevens the Gene<br />

Ontology [20] has been phenomenally successfull. Starting from about 3500<br />

terms in 1998 now it covers around 20000 terms <strong>and</strong> its controlled vocabulary<br />

is adopted in more than 20 databases. Its success is due to the deep <strong>and</strong> continuous<br />

involvement of the molecular biology community in the development<br />

<strong>and</strong> maintenance of the ontology. Other important factors are its clear goals,<br />

limited scope <strong>and</strong> simple structure.<br />

The TAMBIS Ontology [2, 61], represents a remarkable attempt to semantically<br />

organize bioinformatics concepts, including resources. The aim of<br />

the TAMBIS project was that of providing transparent access to disparate<br />

biological databases <strong>and</strong> analysis tools enabling users to utilize a wide range<br />

of resources with the minimum effort. Proton [17] is a ontology prototype for<br />

the classification of databases <strong>and</strong> algorithms for proteomics.<br />

2.2 Web Services<br />

Web Services, represent one of the most used middleware in distributed<br />

programming. Thanks to the WSDL 11 descriptors (which characterize the<br />

interface of the service) <strong>and</strong> the SOAP 12 messages (which make the communication<br />

possible), Web Services are a great way to integrate distributed<br />

10 http://obofoundry.org/<br />

11 http://www.w3.org/TR/wsdl<br />

12 http://www.w3.org/TR/soap

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