Abstract
In this paper, we present a Linked ecosystem of Web services where both Web services, mashups and users are represented as a multigraph structure. For illustration and experimental purposes, a graph has been constructed, in gathering web services metadata from ProgrammableWeb. The graph is stored in a Neo4j graph database and serves as a repository for a realistic collection of web services for achieving services/mashups discovery and recommendation.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Berry, M.W., Drmac, Z., Jessup, E.R.: Matrices, vector spaces, and information retrieval. SIAM Rev. 41, 335–362 (1999)
Bianchini, D., De Antonellis, V., Melchiori, M.: Link-based viewing of multiple web API repositories. In: Decker, H., Lhotská, L., Link, S., Spies, M., Wagner, R.R. (eds.) DEXA 2014. LNCS, vol. 8644, pp. 362–376. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-10073-9_30
Liang, T., Chen, L., Wu, J., Bouguettaya, A.: Exploiting heterogeneous information for tag recommendation in API management. In: IEEE International Conference on Web Services, ICWS 2016, pp. 436–443 (2016)
Chen, W., Paik, I., Hung, P.C.: Constructing a global social service network for better quality of web service discovery. IEEE Trans. Serv. Comput. 8, 284–298 (2015)
Chen, W., Paik, I.: Improving efficiency of service discovery using Linked databased service publication. Inf. Syst. Front. 15(4), 613–625 (2013)
Lyu, S., Liu, J., Tang, M., Kang, G., Cao, B., Duan, Y.: Three-level views of the web service network: an empirical study based on ProgrammableWeb. In: IEEE International Congress on Big Data (BigData Congress 2014), pp. 374–381 (2014)
Deng, S., Huang, L., Yin, Y., Tang, W.: Trust-based service recommendation in social network. Appl. Math. 9, 1567–1574 (2015)
Deng, S., Huang, L., Xu, G.: Social network-based service recommendation with trust enhancement. Expert Syst. Appl. 4, 8075–8084 (2014)
Liang, T., Chen, L., Wu, J., Dong, H., Bouguettaya, A.: Meta-path based service recommendation in heterogeneous information networks. In: Sheng, Q.Z., Stroulia, E., Tata, S., Bhiri, S. (eds.) ICSOC 2016. LNCS, vol. 9936, pp. 371–386. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46295-0_23
Guo, G., Zhang, J., Yorke-Smith, N.: TrustSVD: collaborative filtering with both the explicit and implicit influence of user trust and of item ratings. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 123–129 (2015)
Aljalbout, S., Boucelma, O., Sellami, S.: Modeling and retrieving linked RESTful APIs: a graph database approach. In: Debruyne, C., Panetto, H., Meersman, R., Dillon, T., Weichhart, G., An, Y., Ardagna, C.A. (eds.) OTM 2015. LNCS, vol. 9415, pp. 443–450. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-26148-5_29
Maamar, Z., Wives, L.K., Badr, Y., Elnaffar, S., Boukadi, K., Faci, N.: Linkedws: a novel web services discovery model based on the metaphor of Social networks. Simul. Model. Pract. Theory 19, 121–132 (2011)
Jackson, D.A., Somers, K.M., Harvey, H.H.: Similarity coefficients: measures of co-occurrence and association or simply measures of occurrence? Am. Nat. 133(3), 436–453 (1989)
Bobadilla, J., Ortega, F., Hernando, A., Gutiérrez, A.: Recommender systems survey. Knowl. Based Syst. 46, 109–132 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Slaimi, F., Sellami, S., Boucelma, O. (2018). From a Web Services Catalog to a Linked Ecosystem of Services. In: Szymański, J., Velegrakis, Y. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2017. Lecture Notes in Computer Science(), vol 10546. Springer, Cham. https://doi.org/10.1007/978-3-319-74497-1_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-74497-1_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74496-4
Online ISBN: 978-3-319-74497-1
eBook Packages: Computer ScienceComputer Science (R0)