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Applying Markov logics for controlling abox abduction
Citation Link: https://doi.org/10.15480/882.1146
Other Titles
Die Anwendung von Markov Logik zur Steuerung der Abox-Abduktion
Publikationstyp
Doctoral Thesis
Date Issued
2013
Sprache
English
Author(s)
Advisor
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2013-10-10
Institut
TORE-DOI
Manually annotating the multimedia documents is a time-consuming and cost-intensive task. In this work, we define a media interpretation agent for automatically generating annotations for multimedia documents. Observations of the agent are given as surface-level information extracted by state-of-the-art media analysis tools. Based on background knowledge the agent interprets observations by computing high-level explanations. Observations and their explanations constitute the annotations of a media document. For this purpose, we investigate an abduction algorithm which computes explanations using a logic-based knowledge representation formalism. Multiple explanations might be possible for certain media content. Since the agent's resources for computing explanations are limited, we need to control the abduction procedure in
terms of branching of the computation process and depth of computed results, while still producing acceptable annotations. To control the abduction procedure, we employ a first-order probabilistic formalism.
terms of branching of the computation process and depth of computed results, while still producing acceptable annotations. To control the abduction procedure, we employ a first-order probabilistic formalism.
Subjects
Markov Logik
Semantik Web
Abox-Abduktion
Beschreibungslogiken
Steuerung der Abox-Abduktion
Ontologien
Markov logic
semantic web
Abox abduction
description logics
controlling Abox abduction
ontologies
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