Semantic spatial web services with case-based reasoning

Authors:
Taha Osman;Dhavalkumar Thakker;Yanwu Yang;Christophe Claramunt
Affiliations:
School of Computing and Informatics, Nottingham Trent University, Nottingham, UK;School of Computing and Informatics, Nottingham Trent University, Nottingham, UK;Naval Academy Research Institute, Brest, France;Naval Academy Research Institute, Brest, France
Venue:
W2GIS'06 Proceedings of the 6th international conference on Web and Wireless Geographical Information Systems
Year:
2006

Citing 8
Cited 1

Case-based reasoning: foundational issues, methodological variations, and system approaches

AI Communications
Applying case-based reasoning: techniques for enterprise systems

Applying case-based reasoning: techniques for enterprise systems
Artificial Intelligence

Artificial Intelligence
Defining Similarity Measures: Top-Down vs. Bottom-Up

ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Constraint Driven Web Service Composition in METEOR-S

SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Semantic-Driven Matchmaking of Web Services Using Case-Based Reasoning

ICWS '06 Proceedings of the IEEE International Conference on Web Services
Optimizing similarity assessment in case-based reasoning

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Bringing semantics to web services: the OWL-S approach

SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition

Case adaptation with qualitative algebras

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

With the rapid proliferation of spatial information on the web, the development of spatial web services represents a challenging issue. The research presented in this paper introduces a novel approach for the integration of spatial semantics within a case-based reasoning solution for the delivery of spatial information services on the Web. The framework integrates Web services in the decision making process and is adaptable to service requester constraints. The framework is based on OWL semantic descriptions for implementing both the components of the CBR engine and the matchmaking profile of the Web services. The framework and approach are illustrated with web-based travel planning, e.g. flight schedule arrangement according to user's requests, constraints, and preferences.