REALIZATION OF SEMANTIC SEARCH USING CONCEPT LEARNING. AND DOCUMENT ANNOTATION AGENTS. Behrouz H. Far1. Cheng Zhong1. Zilan (Nancy) Yang1. Mohsen Afsharchi2. 1 ...
The method introduces a spiral search process and a layered structure of semantic interoperability. Agents, which conduct semantic search on behalf of users, ...
Behrouz H. Far, Cheng Zhong, Zilan (Nancy) Yang, Mohsen Afsharchi: Realization of Semantic Search Using Concept Learning and Document Annotation Agents.
Cheng Zhong's 3 research works with 9 citations, including: Realization of Semantic Search Using Concept Learning and Document Annotation Agents.
Semantic Annotation of Unstructured Documents Using Concepts Similarity
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Semantic annotation technique can help to retrieve and extract information in unstructured documents. We propose a semantic annotation strategy for unstructured ...
The paper describes a semantic-based image retrieval tool developed for the needs of concept cars designers from two renowned European companies.
Realization of Semantic Search Using Concept Learning and Document Annotation AgentsBehrouz H. Far, Cheng Zhong, Zilan (Nancy) Yang, Mohsen Afsharchi. 164 ...
In this paper we present (1) a method for semantic search supported by ontological concept learning; and (2) a prototype multiagent system that can handle ...
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Realization of Semantic Search Using Concept Learning and Document Annotation Agents · Object Classification by means of Multi-Feature Concept Learning in a ...
Some annotation proposals use natural language processing tools, ontologies to link document terms; others use the similarity of entities through the weight of ...