General multiple-objective decision functions and linguistically quantified statements
International Journal of Man-Machine Studies - Lecture notes in computer science Vol. 174
PREFER: a system for the efficient execution of multi-parametric ranked queries
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Proceedings of the 17th International Conference on Data Engineering
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Solving Qos-Driven Web Service Dynamic Composition as Fuzzy Constraint Satisfaction
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Automated semantic web service discovery with OWLS-MX
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
ECOWS '06 Proceedings of the European Conference on Web Services
How to detect semantic business process model variants?
Proceedings of the 2007 ACM symposium on Applied computing
Measuring similarity between semantic business process models
APCCM '07 Proceedings of the fourth Asia-Pacific conference on Comceptual modelling - Volume 67
Foundations of preferences in database systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
QoS-Aware Web Service Selection by a Synthetic Weight
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
Measuring Similarity between Business Process Models
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Semantic Web Service Selection Based on Business Offering
EMS '08 Proceedings of the 2008 Second UKSIM European Symposium on Computer Modeling and Simulation
Web Semantics: Science, Services and Agents on the World Wide Web
Bring QoS to P2P-based semantic service discovery for the Universal Network
Personal and Ubiquitous Computing
Graph Matching Algorithms for Business Process Model Similarity Search
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Ranking BPEL Processes for Service Discovery
IEEE Transactions on Services Computing
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
A framework for service discovery based on structural similarity and quality satisfaction
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Querying business process model repositories
World Wide Web
Hi-index | 0.00 |
Current approaches for service discovery are based on semantic knowledge, such as ontologies and service behavior (described as process model). However, these approaches still remain with a high selectivity rate, resulting in a large number of services offering similar functionalities and behavior. One way to improve the selectivity rate and to provide the best suited services is to cope with user preferences defined on quality attributes. In this paper, we propose and evaluate a novel approach for service retrieval that takes into account the service process model and relies both on preference satisfiability and structural similarity. User query and target process models are represented as annotated graphs, where user preferences on QoS attributes are modelled by means of fuzzy sets. A flexible evaluation strategy based on fuzzy linguistic quantifiers (such as almost all) is introduced. Then, two families of ranking methods are discussed. Finally, an extensive set of experiments based on real data sets is conducted, on one hand, to demonstrate the efficiency and the scalability of our approach, and on the other hand, to analyze the effectiveness and the accuracy of the proposed ranking methods compared to expert evaluation.