Paolo Ceravolo

Learn More
This paper surveys the current state-of-the-art of technology, systems and applications in Augmented Reality. It describes work performed by many different research groups, the purpose behind each new Augmented Reality system, and the difficulties and problems encountered when building some Augmented Reality applications. It surveys mobile augmented reality(More)
Organizational risk management should not only rely on protecting data and information but also on protecting knowledge which is underdeveloped in many cases or measures are applied in an uncoordinated, dispersed way. Therefore, we propose a consistent top-down translation from the organizational risk management goals to implemented controls to overcome(More)
Organizations are showing growing interest in paradigms where business models and services compatibility is adaptively tested, e.g. by applying automatic systems to check business rules consistency. In this paper, we build on the original proposal by OMG of using first-order logics for representing business vocabularies and propose an approach based on(More)
SemanticWeb languages like OWL and RDFS promise to be viable means for representing metadata describing users and resources available over the Internet. Recently, interest has been raised on the use of such languages to represent individual data items contained in Personally Identifiable Information (PII), supporting fine-grained release. To achieve this(More)
In this paper we analyze the principal preconditions and limitations for designing a competence-based Recommender System. In detail this analysis is contextualized in the ARISTOTELE European project. In the second part of the paper an architectural view is proposed taking in consideration the objective to propose standard and non-standard suggestions. This(More)
In this work we propose a fuzzy technique to compare XML documents belonging to a semi-structured flow and sharing a common vocabulary of tags. Our approach is based on the idea of representing documents as fuzzy bags and, using a measure of comparison, evaluating structural similarities between them. Then we suggest how to organize the extracted knowledge(More)
Business Process Modeling is increasingly important for the digitalization of both IT and non-IT business processes, as well as for their deployment on service-oriented architectures. A number of methodologies, languages, and software tools have been proposed to support digital business process design; nonetheless, a lot remains to be done for assessing a(More)
Ontology-based modelling is becoming increasingly important in the design of complex knowledge management applications. However, many problems related to large-scale ontology development, deployment and collaborative maintenance of related metadata still remain to be solved. Making online modifications to an ontology whose concepts are simultaneously being(More)
Interaction in teams brings together team members’ knowledge and drives innovation by shaping and reshaping ideas transiting through phases of collaboration. Organisations increasingly rely on teams in the hope that collaboration improves problem-solving or decision-making, especially in highly dynamic environments which require quick and reliable(More)
'Big Data' techniques are often adopted in cross-organization scenarios for integrating multiple data sources to extract statistics or other latent information. Even if these techniques do not require the support of a schema for processing data, a common conceptual model is typically defined to address name resolution. This implies that each local source is(More)