Evidence theory based knowledge representation

Authors:
R. Mohamed;J. Watada
Affiliations:
University Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, Malaysia;Waseda University, Kitakyushu, Fukuoka, Japan
Venue:
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Year:
2011

Citing 10
Cited 0

A comparison of formal knowledge representation schemes as communication tools; predicate logic vs semantic network

International Journal of Man-Machine Studies
Designing metaschemas for the UMLS enriched semantic network

Journal of Biomedical Informatics - Special issue: Unified medical language system
Consistency across the hierarchies of the UMLS semantic network and metathesaurus

Journal of Biomedical Informatics - Special issue: Unified medical language system
Semantic Information Extraction of Video Based on Ontology and Inference

ICSC '07 Proceedings of the International Conference on Semantic Computing
Logical method for logical operations based on evidential reasoning

International Journal of Knowledge Engineering and Soft Data Paradigms
Proposed Text Mining Framework to Explore Issues from Text in a Certain Domain

ICCEA '10 Proceedings of the 2010 Second International Conference on Computer Engineering and Applications - Volume 01
Hy-SN: Hyper-graph based semantic network

Knowledge-Based Systems
Opinion Summarization in Bengali: A Theme Network Model

SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Financial volatility trading using a self-organising neural-fuzzy semantic network and option straddle-based approach

Expert Systems with Applications: An International Journal
Evaluation and application of a semantic network partition

IEEE Transactions on Information Technology in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

Knowledge is presented in various ways such as semantic network. Hierarchical representation is widely used as one of the well-known methods in knowledge representation. Knowledge representation plays a pivotal role in dealing with knowledge, facts, procedures and meanings for solving problems. The knowledge representation is a crucial task in handling problems, and it tends to fail if we do not understand well the problem or situation to model. The aim of this paper is to propose a logical hierarchical structure for knowledge representation in semantic network. We place stress on modeling knowledge from semantic network perspective during analysis phase. This method is known as evidence-based semantic network or ESN. "Scene labeling" is used as an example for the proposed method. The results show the proposed method is easier to understand than original semantic network.