NDLI: Semantics Extraction in Visual Domain Based on WordNet

Content Provider	IEEE Xplore Digital Library
Author	Abu-Shareha, A.A. Mandava, R.
Copyright Year	2011
Abstract	Semantics extraction based on local context detection, for the instance's entities, out of a global context in what so called contextualization with reference to WordNet is presented. The entities of single visual content intend to express a single or few interrelated topics in a constrained domain. Thus, the context of the entities is detected and identified as the part of the global context that is the mostly shared among the underlying entities. The proposed method is based on Level-Based Overlapping (LBO). First, a tree is obtained by tracing the hypernymy paths of all the entities over WordNet up to the root node. Second, a balanced tree is generated by injecting virtual nodes into the original ones to facilitate level-based selection. Finally, a node selection at each level is implemented over the generated balanced tree, as such, a subset of nodes that represent the maximum overlap is selected at each level through optimization technique. The result of each level is propagated to the next level using filtering. The direct implementation of the proposed approach is utilized for automatic visual domain ontology extraction, which has been addressed previously as manual process. The proposed technique is also, implemented for image disambiguation. The results show the potential of the proposed method for the implemented semantic-based applications.
Starting Page	212
Ending Page	219
File Size	399077
Page Count	8
File Format	PDF
ISBN	9781457712289
DOI	10.1109/MUE.2011.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-28
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Visualization Overlapping Filtering Semantics Semantic Ontologies Cognition Image Context modeling
Content Type	Text
Resource Type	Article

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