Knowledge modeling and its application in life sciences: a tale of two ontologies
Proceedings of the 15th international conference on World Wide Web
Extraction and search of chemical formulae in text documents on the web
Proceedings of the 16th international conference on World Wide Web
Journal of Biomedical Informatics
oreChem ChemXSeer: a semantic digital library for chemistry
Proceedings of the 10th annual joint conference on Digital libraries
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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.