Irene Celino

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This article proposes a model-driven methodology to design and develop semantic Web service applications and their components, described according to the emerging WSMO standard. In particular, we show that business processes and Web engineering models have sufficient expressive power to support the semiautomatic extraction of semantic descriptions (i.e.,(More)
Search engines are becoming such an easy way to find textual resources that we wish to use them also for multimedia content; however, syntactic techniques, even if promising, are not up to the task: future search engines must consider new approaches. Experimental prototypes of this search engine of the future are appearing. Most of them employs “smart(More)
Checking-in various venues in our surrounding environment via location-based apps like foursquare is becoming more and more popular; this behaviour makes people share some “bits” of their location with their friends. Exploiting this trend in a Human Computation fashion to collect information about urban environments is the aim of the(More)
Automatizing the Web Service Discovery is crucial for truly implementing a Service Oriented Architecture. Semantics has been shown to be useful. Several initiative, namely OWL-S, WSMO and WSDLS, are successfully employing ontologies, but we believe that WSMO is right in highlighting mediation as the missing element. In this paper we provide a mediator(More)
Urban-related data and geographic information are becoming mainstream in the Linked Data community due also to the popularity of Location-based Services. In this paper, we introduce the UrbanMatch game, a mobile gaming application that joins data linkage and data quality/trustworthiness assessment in an urban environment. By putting together Linked Data and(More)
Urban Computing is a branch of Pervasive Computing that investigates urban settings and everyday lifestyles. A lot of information to develop pervasive applications for urban environments is often already available, even if scattered and not integrated: maps, points of interest, user locations, traffic, pollution, events are just a few examples of the(More)
Consider an urban environment and its semi-public realms (e.g., shops, bars, visitors attractions, means of transportation). Who is the maven of a district? How fast and how broad can such maven influence the opinions of others? These are just few of the questions BOTTARI (our Location-based Social Media Analysis mobile app) is getting ready to answer. In(More)
This paper presents a framework for designing and developing Semantic Web Service applications that spans over several enterprises by applying techniques, methodologies, and notations offered by other fields, namely Software engineering, Web engineering, and Business Process modeling. In particular, we propose to exploit existing standards for the(More)
To realize the Smart Cities vision, applications can leverage the large availability of open datasets related to urban environments. Those datasets need to be integrated, but it is often hard to automatically achieve a high-quality interlinkage. Human Computation approaches can be employed to solve such a task where machines are ineffective. We argue that(More)
Recent advances in the Semantic Web community have yielded a variety of reasoning methods used to process and exploit semantically annotated data. However, most of those methods have only been approved for small, closed, trustworthy, consistent, and static domains. Still, there is a deep mismatch between the requirements for reasoning on a Web scale and the(More)