Dokument: Collaborative Knowledge Management in the Life Sciences Network
| Titel: | Collaborative Knowledge Management in the Life Sciences Network | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=6805 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20080123-113151-2 | |||||||
| Kollektion: | Dissertationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Abschlussarbeiten » Dissertation | |||||||
| Medientyp: | Text | |||||||
| Autor: | Paulsen, Ingo [Autor] | |||||||
| Dateien: |
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| Beitragende: | Prof. Dr. Haeseler, Arndt von [Gutachter] Prof. Dr. Conrad, Stefan [Gutachter] | |||||||
| Stichwörter: | Knowledge Management, Life Sciences, Ontologies, Ontoverse, Semantic Web, Web 2.0, OWL | |||||||
| Dewey Dezimal-Klassifikation: | 000 Informatik, Informationswissenschaft, allgemeine Werke » 004 Datenverarbeitung; Informatik | |||||||
| Beschreibung: | This thesis is about two topics: building a database of homologous invertebrate genes named Invhogen, and the creation of an Internet platform, Ontoverse, for collaborative ontology development and maintenance.
The first part of the thesis investigates the use of sequence similarity to group sequence entries into gene families. All gene families are explored by means of different annotation aspects such as species distribution, sequence distribution, and descriptions of the entries to characterize them with emphasis on Gene Ontology annotations. Traditional annotations written by scientists in natural language are partially suitable for machine processing. Ontological annotations of sequence entries promise to additionally represent knowledge computationally amenable to support the sequence based approach by semantic components with ontologies. These results regarding ontological annotation quality, among other motivations, lead to the question how to bridge the two fields, database annotation and ontologies, for successful resource annotation of biological sequence data. For this purpose, an Internet-based application is created in the second part, that brings scientists (domain experts) together to offer them ways to communicate among each other or with ontology designers, which act as database curators in this special context. This collaborative approach should allow experts and engineers to improve database annotations by mutual understanding of the ontology’s inner structure or even by the use of completely new designed ontologies, if special ontologies are desired for annotating sequence entries. Furthermore, existing ontologies might be extended by experts’ knowledge to increase annotation qualitites. While the widest use of bio-ontologies is for conceptual annotations, they are also used in a large range of other life science application scenarios which are manageable via the Ontoverse platform. The main focus in the second part of the thesis is on the architecture to manage scientific user communities and the integration of information extraction results into ontologies (ontology population). | |||||||
| Lizenz: |  Urheberrechtsschutz | |||||||
| Fachbereich / Einrichtung: | Mathematisch- Naturwissenschaftliche Fakultät » WE Informatik » Bioinformatik | |||||||
| Dokument erstellt am: | 23.01.2008 | |||||||
| Dateien geändert am: | 23.01.2008 | |||||||
| Promotionsantrag am: | 31.10.2007 | |||||||
| Datum der Promotion: | 14.01.2008 |
