DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Kontakt | English
Schriftgröße: [-] Text [+]

Searching domain ontologies

Ciucu, Mariana und Datcu, Mihai (2004) Searching domain ontologies. ESA-EUSC Conference 2004: Theory and Applications of Knowledge driven Image Information Mining, with focus on Earth Observation, Madrid, Spain, 17-18 March 2004.

Dieses Archiv kann nicht den gesamten Text zur Verfügung stellen.

Offizielle URL: http://earth.esa.int/rtd/Events/ESA-EUSC_2004/


The interpretation of EO data requires not only data and/or information fusion for better understanding of Earth cover structures, but, at a higher level, needs the aggregation with existing bodies of knowledge specific to the application fields. Thus, from this perspective, the interpretation of EO data is a knowledge driven task. The knowledge consists in the ensemble of existing information, known causalities and other type of associations between information and concepts. During the interpretation process new information and causalities are discovered, thus we have a dual process of knowledge acquisition. To formalize the knowledge both in knowledge driven the interpretation and in the knowledge acquisition we need to define a hierarchy from the point of view of information categories. In the approach we propose now, it is possible to use the knowledge and semantic stored in KIM like systems, to provide to other EO interpretation tools information which is often omitted when humans operate such system because it is clearly an image content element. Thus the idea is to build intelligent interfaces, which explain each other, such to arrive at a compromise for a common understanding. The index system of image databases has a hierarchical structure: image, features, semantics, and domain ontology. The structure can be attached to a tree representation, which is like a union of sub-trees for domain ontology. When a user is training a new semantic label on a image, the system may try to identify the other semantic labels closest to it and give the user the possibility to choose an old one or to define a new one. An entropy measure has been introduced for searching similar subtrees, like Kulllback-Leibler divergence or relative entropy. The method is used for controlling the dynamic index of the archive and for knowledge discovery by searching similar domain ontologies.

Dokumentart:Konferenzbeitrag (Paper)
Zusätzliche Informationen: LIDO-Berichtsjahr=2004,
Titel:Searching domain ontologies
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID
In Open Access:Nein
In ISI Web of Science:Nein
Veranstaltungstitel:ESA-EUSC Conference 2004: Theory and Applications of Knowledge driven Image Information Mining, with focus on Earth Observation, Madrid, Spain, 17-18 March 2004
Veranstalter :ESA-EUSC
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):NICHT SPEZIFIZIERT
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung
Hinterlegt von: Roehl, Cornelia
Hinterlegt am:26 Jan 2006
Letzte Änderung:06 Jan 2010 22:35

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Hilfe & Kontakt
electronic library verwendet EPrints 3.3.12
Copyright © 2008-2013 Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.