What better mobility can one get if Sun offers Sunray clients in the long distance cabs, buses or limos. All we need is an internet connection for Sunray to operate. And ya! Lufthansa is going to provide internet connections in their cross continental flights. Shouldn t we talk to them
The currently preferred tool for uniform data presentation in systems biology, the syntactic and document orientated e Xtensible Markup Language ( XML cannot satisfy the requirements of highly dynamic and integrated bioinformatics applications. However, Semantic Web [1] provides a universal mechanism for information exchange by describing, in a machine-interpretable way, the content of resources on the Web. The growing need for integration of diverse and heterogeneous data sets from distinct communities of scientists in separate biological research fields has thus been the major driving force to migrate from traditional XML to Semantic Web [2]. Gene Ontology [3] ( GO, is by far the most widely used bio-ontology. As of August 2007, it contains approximately 23,700 terms, linked to a database of more than 16 million annotations of genes and gene products, originating from about 20 organisms. As a Semantic Web application domain, Gene Ontology Consortium provides a RDF- XML data file It is an export of the database, containing both the GO vocabulary and associations between GO terms and gene products. However, this file has drawbacks, making it unsuitable for providing complex semantic query and inference services. The first drawback is the lack of relationships between concepts among different GO subontologies, limiting the power of inference based on them. GO has three independent subontologies, Cellular Component, Biological Process and Molecular Function. The terms in the subontologies are structured as Directed Acyclic Graphs ( DAG and may have one or more parents with two types of relationships: 'is-a' is a simple class-subclass relationship, while 'part-of' represents a complex part-whole relationship. However, neither.
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