Ontology based text indexing and querying for the semantic web
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Ontology based document annotation: trends and open research problems
International Journal of Metadata, Semantics and Ontologies
Improving web-query processing through semantic knowledge
Data & Knowledge Engineering
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Web Semantics: Science, Services and Agents on the World Wide Web
Semantic approach to image retrieval using statistical models based on a lexical ontology
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
Semantically enhanced text stemmer (SETS) for cross-domain document clustering
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Enhanced cross-domain document clustering with a semantically enhanced text stemmer SETS
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 2 of 2
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The search for inspirational images is an important part of creative design. When identifying inspirational materials, designers search semantic domains that are different from the target domain and use semantic adjectives in combination with the traditionally used keywords. This paper describes research conducted within the TRENDS project, which aimed at developing a software tool for the needs of concept cars designers. The goal was to assist them with the process of collecting inspirational images from various sectors of influence. The paper describes the ontology tagging algorithm developed to index the images in the TRENDS database using concepts from two ontologies: a generic ontology called OntoRo , and a domain-specific ontology CTA developed for the needs of the project. The paper presents the evaluation of the developed algorithm and suggests areas for further research.