OWL-based Algorithms for Identifying Ontology Misconceptions
📄 Project Abstract
The aim of the project is to produce OWL-based1 algorithms and a well-defined API for comparing two conceptualisations, one from the user's ontology, another from the system's ontology. The algorithms and API can be used in an elicitation tool for building conceptual models of users. Ontology misconceptions between user's own perspective and system's standardised perspective with predefined ontology are easy to be trivialised, if not neglected, by researchers, yet can be a bottleneck to the development of Semantic Web, which does emphasise people's participation. Thus we are going to create some general algorithms to identify ontology misconception. This will have contributions to user modelling for the Semantic Web, in particular, for dealing with the user's perception and expectations, and in proving the human-computer interaction. 1.2 Objectives The objectives of the project are to: 1. Review of Semantic Web and ontology. 2. Review of ontology misconceptions. 3. Review of OWL Reason...
🔍 Key Research Areas Covered
- ✅ Literature Review & Theoretical Framework
- ✅ Research Methodology & Data Collection
- ✅ Data Analysis & Statistical Methods
- ✅ Findings & Results Discussion
- ✅ Recommendations & Conclusions
- ✅ References & Bibliography
📚 Complete Project Structure
- Problem Statement & Objectives
- Theoretical Framework & Related Studies
- Data Collection & Analysis Methods
- Findings & Statistical Analysis
- Recommendations & Future Research
- Questionnaires, Data, References
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OWL-based Algorithms for Identifying Ontology Misconceptions
Full Citation:
Yongjian Huang. (). OWL-based Algorithms for Identifying Ontology Misconceptions. African and General Studies, 40, 14858.
Citation Formats:
APA
Yongjian Huang. (). OWL-based Algorithms for Identifying Ontology Misconceptions. African and General Studies, 40, 14858.
MLA
Yongjian Huang. "OWL-based Algorithms for Identifying Ontology Misconceptions." African and General Studies, vol. 40, , pp. 14858.
Chicago
Yongjian Huang. "OWL-based Algorithms for Identifying Ontology Misconceptions." African and General Studies 40 (): 14858.
Full Citation:
Yongjian Huang. (). OWL-based Algorithms for Identifying Ontology Misconceptions. African and General Studies, 40, 14858.
Citation Formats:
APA
Yongjian Huang. (). OWL-based Algorithms for Identifying Ontology Misconceptions. African and General Studies, 40, 14858.
MLA
Yongjian Huang. "OWL-based Algorithms for Identifying Ontology Misconceptions." African and General Studies, vol. 40, , pp. 14858.
Chicago
Yongjian Huang. "OWL-based Algorithms for Identifying Ontology Misconceptions." African and General Studies 40 (): 14858.
Document Details
| Author | Yongjian Huang |
|---|---|
| 📁 Field | Computer Science Project Topics |
| 🏷️ Type | Science project topics |
| Pages | 84 Pages |
| Words | 19474 words |
| 📘 Chapters | 1 to 5 Chapters |