Semantic web applications to e-science in silico experiments

ABSTRACT

This paper explains our research and implementations of manual, automatic and deep annotations of provenance logs for e-Science insilico experiments. Compared to annotating general Web documents, annotations for scientific data require more sophisticated professional knowledge to recognize concepts from documents, and more complex text extraction and mapping mechanisms. A simple automatic annotation approach based on "lexicons" and a deep annotation implemented by semantically populating, translating and annotating provenance logs are introduced in this paper. We used COHSE (Conceptual Open Hypermedia Services Environment) to annotate and browse provenance logs from my Grid project, which are conceptually linked together as a hypertext Web of provenance logs and experiment resources, based on the associated conceptual metadata and reasoning over these metadata.

REFERENCES

• 1: S. Bechhofer, L. Carr, C. Goble, and W. Hall. Conceptual Open Hypermedia-The Semantic Web? In SemWeb2001, The Second International Workshop on the Semantic Web, Hong Kong, May 2001.
• 2: C. Wroe, R. Stevens, C. Goble, and M. Greenwood. A suite of DAML+OIL Ontologies to Describe Bioinformatics Web Services and Data. International Journal of Cooperative Information Systems, 12(2):197--224, 2003.

INDEX TERMS

Primary Classification:
  E. Data
  E.5 FILES

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.4 Hypertext/Hypermedia

General Terms:
Experimentation, Human Factors

Keywords:
annotation, e-science, integration, ontology, provenance, semantic web