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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)
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 Urbanopoly Android(More)
This paper presents SEEMP, a marketplace to coordinate and integrate public and private employment services (ESs) around the EU Member States. The need for flexible collaboration in the marketplace gives rise to the issue of interoperability in both data exchange and share of services. SEEMP proposes a mixed approach that relies on the concepts of services(More)
Consider an urban environment and think to 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(More)
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)
Current Business Process Management technologies cover all the process life-cycle but still suffer from many limitations with respect to their complexity, maintainability and degree of automation. Recent research initiatives aim at overcoming these limitations by introducing Semantic technologies in the process life-cycle, mainly in the modeling and(More)
In 2011, an average of three million tweets per day was posted in Seoul. Hundreds of thousands of tweets carry the live opinion of some tens of thousands of users about restaurants, bars, coffees and many other semi-public points of interest (POIs) in the city. Trusting this collective opinion to be a solid base for novel commercial and social services, we(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)