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Service Oriented Architectures (SOA) and Web services (WS) are important for creating interoperable information systems. However, these technologies lack of semantics. To overcome this limitation, semantic Web services are necessary. In this paper we present a synthesis of some recent works we estimate interesting in the field of semantic interoperability via Web services. We first present some conceptual and technological tools permitting the semantic interoperability. Then, we try to classify the considered works through a comparative table using some criteria concerning the semantic description approach and language, the integration approach, the functions taken into account (publication, discovery, invocation....), the mediation level and the composition method.

Web service recommender systems have a fundamental role in the selection, composition and substitution of services. Indeed, they are used in several application areas such as Web APIs and Cloud Computing. Likewise, Deep Learning techniques have brought undeniable advantages and solutions to the challenges faced by recommendations in all areas. Unfortunately, the field of Web services has not yet benefited well from these deep methods, moreover, the works using these methods for Web services domain are very recent compared to the works of other fields. Thus, the objective of this paper is to study and analyze state-of-the-art work on Web services recommender systems based on Deep Learning techniques. This analysis will help readers wishing to work in this field, and allows us to direct our future work concerning the Web services recommendation by exploiting the advantages of Deep Learning techniques.

The interoperability of heterogeneous information systems via semantic web services keeps a real challenge. We propose a service oriented architecture for developing the interoperability mechanism in the information systems of companies. The core of this architecture is a web services semantic mediation infrastructure using a semantic model and the SAWSDL language for resolving mismatches. In the setting of this paper, we present our global approach then retail the data mediation and the semantic model which is based on the ontologies and the notion of context. She is affiliated to LRI Laboratory. She received her Magister degree in 2009 in the interoperability and service oriented architecture domain. She is preparing her PhD thesis in the field of semantic web services and interoperability of information systems. 164K. Mecheri et al. . He heads the research group Information Systems and Knowledge Bases. He has published several papers in international conferences and journals. He has managed and initiated multiple national and international level projects including interoperability of information systems and integration of applications in organisations. He has been programme committee member of several conferences. His research interests include cooperative information systems, web databases and software engineering.Labiba Souici-Meslati is an Associate Professor in the She is affiliated to LRI Laboratory. She has published several papers in international conferences and journals. Her research interests include machine learning, pattern recognition, computational intelligence and application of artificial intelligence techniques in software engineering. This paper is a revised and expanded version of a paper entitled 'A semantic web service oriented architecture for the information systems interoperability' presented at Third

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