Home > Research > Publications & Outputs > Semantic web applications to e-science in silic...
View graph of relations

Semantic web applications to e-science in silico experiments

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Semantic web applications to e-science in silico experiments. / Zhao, Jun; Goble, Carole; Stevens, Robert.

WWW Alt. '04 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters. New York : ACM, 2004. p. 284-285.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Zhao, J, Goble, C & Stevens, R 2004, Semantic web applications to e-science in silico experiments. in WWW Alt. '04 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters. ACM, New York, pp. 284-285. https://doi.org/10.1145/1013367.1013437

APA

Zhao, J., Goble, C., & Stevens, R. (2004). Semantic web applications to e-science in silico experiments. In WWW Alt. '04 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters (pp. 284-285). ACM. https://doi.org/10.1145/1013367.1013437

Vancouver

Zhao J, Goble C, Stevens R. Semantic web applications to e-science in silico experiments. In WWW Alt. '04 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters. New York: ACM. 2004. p. 284-285 doi: 10.1145/1013367.1013437

Author

Zhao, Jun ; Goble, Carole ; Stevens, Robert. / Semantic web applications to e-science in silico experiments. WWW Alt. '04 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters. New York : ACM, 2004. pp. 284-285

Bibtex

@inproceedings{19f7359673a04799bb27d0df839b0452,
title = "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.",
author = "Jun Zhao and Carole Goble and Robert Stevens",
year = "2004",
doi = "10.1145/1013367.1013437",
language = "English",
isbn = "1581139128",
pages = "284--285",
booktitle = "WWW Alt. '04 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Semantic web applications to e-science in silico experiments

AU - Zhao, Jun

AU - Goble, Carole

AU - Stevens, Robert

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

U2 - 10.1145/1013367.1013437

DO - 10.1145/1013367.1013437

M3 - Conference contribution/Paper

SN - 1581139128

SP - 284

EP - 285

BT - WWW Alt. '04 Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters

PB - ACM

CY - New York

ER -