Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Understanding, building and using ontologies
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies
Extracting ontological concepts for tendering conceptual structures
Data & Knowledge Engineering
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
Knowledge Retrieval and the World Wide Web
IEEE Intelligent Systems
DAML+OIL: An Ontology Language for the Semantic Web
IEEE Intelligent Systems
Adopting ontology to facilitate knowledge sharing
Communications of the ACM - Bioinformatics
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
The Description Logic Handbook
The Description Logic Handbook
Emotion representation and physiology assignments in digital systems
Interacting with Computers
How emotion is made and measured
International Journal of Human-Computer Studies
Building an operational product ontology system
Electronic Commerce Research and Applications
Ontology-based curriculum content sequencing system with semantic rules
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
The Internet is the largest information repository. Most information retrieval systems are based on the premise that users know the keywords for searching subjects. However, identifying the appropriate keywords has become increasingly problematic for most users. This study proposes a comprehensive knowledge-based system that assists users in discovering keywords by comprehending human feelings toward a subject. A consumer-centric design approach is employed for ontology development. The following three tasks are performed: gathering and grouping consumer psychological cognitions; translating these semantics into design elements of concept models; and, annotating the features of each concept. The comprehensive knowledge-based system allows users to input sensory descriptions as a query to infer possible resemblances of guesses to the real subject. A case study regarding the identification of dog breeds is presented to demonstrate how users obtains a dog breed name by describing what they see and feel. Empirical results demonstrate that the new design help users with little domain knowledge obtain appropriate keywords.