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Web Service Search and Composition

Seminar an der Universität des Saarlandes, Fachrichtung Informatik, LSF 113561

The topics for the seminar time slots are listed below in the order of their scheduling.

Currently assigned topics are marked in red; waiting list is maintained.  Please also check the topic assignment page for the currently assigned time slots of the topic presentations. Waiting list for topics is maintained.    

Selected background literature is indicated below; topic reference papers are available in the web or on request from seminar organizers.

Topic#

Topic

Web service discovery

Background:

  • M. Crasso, A. Zunino, M. Campo (2011): A Survey of Approaches to Web Service Discovery in Service-Oriented Architectures. Journal of Database Management, 22(1), IGI Global.
  • M. Klusch, P. Kapahnke, S. Schulte, F. Lecue, A. Bernstein (2016): Semantic Web Service Search: A Brief Survey. Kuenstliche Intelligenz (German Journal on AI), 2/16, Springer.

1

WSDL service selection and search

P. Plebani, B. Pernici (2009): URBE: Web Service Retrieval Based on Similarity Evaluation. IEEE Transactions on Knowledge and Data Engineering 21 (11), Springer.

L. Baresi, M. Miraz, P. Plebani (2016): A Distributed Architecture for Efficient Web Service Discovery. Journal of Service Oriented Computing and Applications, 10(1), Springer.

2

Adaptive SAWSDL and hREST service selection

S. Schulte et al. (2010): LOG4SWS.KOM: Self-Adapting Semantic Web Service Discovery for SAWSDL. Proceedings of IEEE 4th International Workshop of Software Engineering for Adaptive Service-Oriented Systems, IEEE.

U. Lampe et al. (2010): Adaptive matchmaking for RESTful services based on hRESTS and MicroWSMO. Proceedings of ACM 5th International Workshop on Enhanced Web Service Technologies, ACM.

3

Adaptive OWL-S service selection

M. Klusch, P. Kapahnke (2012): The iSeM Matchmaker: A Flexible Approach for Adaptive Hybrid Semantic Service Selection. Journal of Web Semantics, 15, Elsevier.

4

P2P service discovery in the IoT

S. Cirani et al. (2014): A Scalable and Self-Configuring Architecture for Service Discovery in the Internet of Things. IEEE Internet of Things Journal, 1(5), IEEE.

Web service composition

Background:

  • L. Lemos, F. Daniel, B. Benatallah (2015): Web Service Composition: A Survey of Techniques and Tool”. ACM Computing Surveys, 48(3), ACM.
  • J. Hoffmann, I. Weber (2014): Web Service Composition. In: Alhajj, R.; Rokne, J. (eds.), Encyclopedia of Social Networks and Mining (ESNAM), Springer.
  • M. Garriga et al. (2015): RESTful Service Composition at a Glance: A Survey. Journal of Network and Computer Applications. Elsevier.

5

REST service composition

J. Bellido, R. Alarcon, C. Pautasso (2013): Control-Flow Patterns for Decentralized RESTful Service Composition. ACM Transactions on the Web, 8(1), ACM.

C. Pautasso (2009): RESTful Web service composition with BPEL for REST. Journal of Data and Knowledge Engineering, 68(9), Springer.

6

QoS-aware service composition (1)

G. Zou et al. (2014): QoS-Aware Dynamic Composition of Web Services using Numerical Temporal Planning. IEEE Transactions on Services Computing, 7(1), IEEE.
 

7

QoS-aware service composition (2)

D. Geebelen et al. (2014): QoS Prediction for Web Service Compositions Using Kernel-based Quantile Estimation with Online Adaptation of the Constant Offset. Journal of Information Sciences, 268, Elsevier.
 

8

QoS-aware service composition (3)

P. Rodriguez-Mier et al. (2016): An Integrated Semantic Web Service Discovery and Composition Framework. IEEE Transactions on Services Computing, 9(4), IEEE.

P. Rodriguez-Mier, M. Mucientes, M. Lama (2017): Hybrid Optimization Algorithm for Large-Scale QoS-Aware Service Composition. IEEE Transactions on Services Computing, 10(4), IEEE.
 

9

Adaptive and dynamic service composition

L. Barakat, S. Miles, M. Luck (2018): Adaptive Composition in Dynamic Service Environments. Journal of Future Generation Computer Systems, 80, Elsevier.
 

10

Adaptive service composition in the IoT

A. Urbieta et al. (2017): Adaptive and Context-Aware Service Composition for IoT-based Smart Cities. Future Generation Computer Systems, 76, Elsevier.

A. Urbieta et al. (2015): Hybrid Service Matchmaking in Ambient Assisted Living Environments Based on Context-Aware Service Modeling. Journal of Cluster Computing, 18(3), Springer.
 

11

Semantic P2P service composition (1)

A. Furno, E. Zimeo (2014): Self-Scaling Cooperative Discovery of Service Compositions in Unstructured P2P Networks. Journal of Parallel and Distributed Computing, Elsevier.

A. Furno, E. Zimeo: “Gossip strategies for service composition”. Proceedings of 22nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), IEEE. 2014
 

12

Semantic P2P service composition (2)

X. Cao, P. Kapahnke, M. Klusch (2015): SPSC: Efficient Composition of Semantic Services in Unstructured P2P Networks. Proceedings of 12th Extended Semantic Web Conference (ESWC), LNCS 9088, Springer.
 

Selected general background references

  • MP Singh, M. Huhns: “Service-Oriented Computing: Semantics, Processes, Agents”. Wiley. 2005
  • H.H. Wang et al.: “A Survey of Semantic Web Services Formalisms”.Concurrency and Computation, 27(15), Wiley. 2015