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Abstract-Data-Providing (DP) services allow query-like access to organizations' data via web services. The invocation of a DP service results in the execution of a query over data sources. In most cases, users' queries require the composition of several services. In this paper, we propose a novel approach for querying and automatically composing DP services. The proposed approach largely draws from the experiences and lessons learned in the areas of service composition, ontology, and answering queries over views. First, we introduce a model for the description of DP services and specification of service-oriented queries. We model DP services as RDF views over a mediated (domain) ontology. Each RDF view contains concepts and relations from the mediated ontology to capture the semantic relationships between input and output parameters. Second, we propose query rewriting algorithms for processing queries over DP services. The query mediator automatically transforms a user's query (during the query rewriting stage) into a composition of DP services. Finally, we describe an implementation and provide a performance evaluation of the proposed approach.

Composition of Web services is a keystone towards the development of interoperable systems. However, despite the widespread adoption of Web services, several obstacles still hinder their smooth automatic reconciliation when being composed. Consistent interpretation of data exchanged between composed Web services is hampered by different and implicit modeling assumptions and representations. In this paper, we look into the value-added of context to enrich data exchange between Web services. We present a context-based mediation approach for semantic Web services engaged in composition.

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Context-aware Web service would significantly benefit the interactions between human, applications, and the environment.

Social networks (SNs) have become a powerful tool for the jihadism as they serve as recruitment assets, live forums, psychological warfare, as well as sharing platforms. SNs enable vulnerable individuals to reach radicalized people, hence triggering their own radicalization process. There are many vulnerability factors linked to socio-economic and demographic conditions that make jihadist militants suitable targets for their radicalization. We focus on these vulnera bility factors, studying, understanding, and identifying them on the Internet. Here, we present a set of radicalization indicators and a model to assess them using a data set of tweets published by several Islamic State of Iraq and Sham sympathizers. Results show that there is a strong correlation between the values assigned by the model to the indicators.This work was supported in part by EphemeCH, Spanish Ministry of Economy and Competitivity, under the European Regional Development Fund FEDER, under Grant TIN2014-56494-C4-4-P and in part by the Justice Programme of the European Union (2014-2020) 723180, RiskTrack, under Grant JUST-2015-JCOO-AG and Grant JUST-2015-JCOO-AG-1

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