Web services in the life sciences

Accessing and Manipulating Life-Sciences Ontologies Using Web Services

In this technology position paper, we propose to provide ontology access and manipulation functions as Web Services called Ontology Web Services (OWSes), and to describe their semantics, using OWL-S as an example ontology. We present an application context that already uses Semantic Web techniques. We show that Ontology Web Services are a good solution for bringing together resources from sever...

A Semantic Approach for the Requirement-driven Discovery of Web Services in the Life Sciences

Research in the Life Sciences depends on the integration of large, distributed and heterogeneous data sources and web services. The discovery of which of these resources are the most appropriate to solve a given task is a complex research question, since there is a large amount of plausible candidates and there is little, mostly unstructured, metadata to be able to decide among them. We contrib...

Using Web services to integrate data and compose analytic tools in the life sciences

BioCatalogue: a universal catalogue of web services for the life sciences

The use of Web Services to enable programmatic access to on-line bioinformatics is becoming increasingly important in the Life Sciences. However, their number, distribution and the variable quality of their documentation can make their discovery and subsequent use difficult. A Web Services registry with information on available services will help to bring together service providers and their us...

Semantic Web technologies for the big data in life sciences.

The life sciences field is entering an era of big data with the breakthroughs of science and technology. More and more big data-related projects and activities are being performed in the world. Life sciences data generated by new technologies are continuing to grow in not only size but also variety and complexity, with great speed. To ensure that big data has a major influence in the life scien...