The paper presents a systematic method for synthesizing asynchronous circuits from event-based speciications with connicts on output signals. It describes a set of semantic-preserving transformations performed at the Petri net level, which introduce auxiliary signal transitions implemented by internally analogue components, Mutual Exclusion (ME) elements. The logic for primary outputs can there...

Presentation-oriented mashup applications are usually developed by manual selection and assembly of pre-existent components. The latter are either described on a very technical, functional level, or using informal descriptors, such as tags, which bear certain ambiguities. With regard to the increasing number and complexity of available components, their discovery and integration has become a ch...

We propose a new unsupervised sentence salience framework for Multi-Document Summarization (MDS), which can be divided into two components: latent semantic modeling and salience estimation. For latent semantic modeling, a neural generative model called Variational Auto-Encoders (VAEs) is employed to describe the observed sentences and the corresponding latent semantic representations. Neural va...

Ontologies and Semantic Web Services are the two core technologies of the Semantic Web. The Semantic Web hinges on the ability of computer programs to perform some task involving the autonomous resolution of semantic issues. This ability requires providing standard access for software to ontologies. Moreover, for the Semantic Web to gain widespread acceptance, it needs to reach a critical mass ...

The hard problem of Enterprise Application Integration (EAI) is the semantic heterogeneity of data and applications. Today’s integration solutions focus mainly on the physical and syntactical aspect, providing little or no mechanism for semantic integration. No shared semantic concepts are explicitly used to define the semantics of different pieces of exchanged data, therefore the developer has...

Future developments in AI and robotics, brain interfaces, the Internet and virtual and augmented reality, will make possible new types of integration of humans and machines which will change how we think, learn and live. This paper uses a story about a future scenario involving systems of this kind to respond to crises and disasters to explore the possibilities of collective intelligence and co...