Szczegóły publikacji
Opis bibliograficzny
Provenance tracking in the ViroLab Virtual Laboratory / Bartosz BALIŚ, Marian BUBAK, Jakub Wach // W: Parallel Processing and Applied Mathematics : 7th international conference, PPAM 2007 : Gdańsk, Poland, September 9–12, 2007 : revised selected papers / eds. Roman Wyrzykowski, [et al.]. — Berlin ; Heidelberg : Springer-Verlag, cop. 2008. — ( Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 4967. Theoretical Computer Science and General Issues ; ISSN 0302-9743 ). — ISBN: 978-3-540-68105-2; ISBN: 3-540-68105-1; e-ISBN: 978-3-540-68111-3. — S. 381–390. — Bibliogr. s. 389–390, Abstr.
Autorzy (3)
- AGHBaliś Bartosz
- AGHBubak Marian
- Wach Jakub
Dane bibliometryczne
| ID BaDAP | 39680 |
|---|---|
| Data dodania do BaDAP | 2008-07-14 |
| DOI | 10.1007/978-3-540-68111-3_40 |
| Rok publikacji | 2008 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Czasopisma/serie | Lecture Notes in Computer Science, Theoretical Computer Science and General Issues |
Abstract
Provenance describes the process which led to the creation of a piece of data. Tracking provenance of experiment results is essential in modem environments which support conducting of in silico experiments. We present a provenance tracking approach developed as part of the virtual laboratory of the ViroLab project. The applied provenance solution is motivated by the Semantic Grid vision as an infrastructure for e-Science. Provenance data is represented in XML and modeled as ontologies described in the OWL knowledge representation language. The provenance tracking system, PROToS, has been designed and implemented to address important stages of the knowledge management lifecycle.
