Vincenzo Moscato

CHIS: Cultural Heritage Information System

The Campania region boasts one of the largest and most priceless cultural heritages in the world: five sites in this region have already been declared a World Heritage Site by UNESCO and many other sites considered minor are not adequately promoted in spite of the fact they are of high artistic value. The project Cultural Heritage Information System, referred to from now on as CHIS, aims to investigate the possibility of developing a technological infrastructure that can support activities related to the specific context of Cultural Heritage, and the various user involved. CHIS represents the technological leverage with which it will be possible to develop value-added services which can enhance the business environment by means of personalized services. In this paper the authors will describe the proposed framework and its main characteristics.

Information Extraction from Multimedia Documents for e-Government Applications

Despite the exponential growth of information systems for supporting public administration requirements, we are still far from a complete automatic e-government system. In particular, there exists the need of automatic or semi-automatic procedures for the whole flow of digital documents management, in particular regarding: (1) automatic information extraction from digital documents; (2) semantic interpretation (3) storing; (4) long term preservation and (5) retrieval of the extracted information. In addition, in the last few years the textual information has been enriched with multimedia data, having heterogeneous formats and semantics. In this framework, it’s the author’s opinion that an effective E-Government information system should provide tools and techniques for multimedia information, in order to manage both the multimedia content of a bureaucratic document and the presentation constraints that are usually associated to such document management systems. In this paper, we will describe a novel system that exploits both textual and image processing techniques, in order to automatically infer knowledge from multimedia data, thus simplifying the indexing and retrieval tasks. A prototypal version of the system has been developed and some preliminary experimental results have been carried out, demonstrating the efficacy in real application contexts.

Modeling Approach for Specialist Domain.

In the last two decades data analytics applications have been studied fairly extensively in the general context of analyzing business data, interactions between people through social networks analysis, marketing trends and so on. The increasing ability to capture and handle geographic data means that spatial analysis is occurring within increasingly data-rich environments. Although GIS provide platforms for managing these data, many of this applications require the integration or the cooperation between multiple information systems in order to satisfy the users’ needs with accurate, not-ambiguous and not-redundant information. In this paper we present a methodology for modeling a domain of interest through semantic Web technologies, and we show a method to query the produced domain model in order to retrieve pertinent information.

Multimedia data integration and processing for E-government

Knowledge management has become a challenge for almost all E-government based applications where one of the main problem is the efficient management of great amounts of data. In order to efficiently access the information embedded in very large document repositories, techniques for semantic document management are required. They ensure improvement for a large and intense process of dematerialization and aim at eliminating or at least reducing, the amount of paper documents. In this work, we present a novel model of digital documents for the improvement of the dematerialization effectiveness. This model represents the starting point for an information system that is able to manage the document streams in an efficient way. It takes into account E-government applications needs like the compliance with the laws and regulations in force and the adaptability to evolving technologies. At the best of our knowledge, the proposed model is one of the first attempts to give a single and unified characterization for the management of multimedia documents, pertaining to a bureaucratic domain as the E-government one, on which semantic procedures are used for the transformation of non structured documents (pertaining to specialized domain) into structured data, suitable for automatic processing. Furthermore, an architecture for the management of documents life cycle is proposed, which provides advanced functionalities for semantic processing, such as giving formal structure to document informative content, information extraction, semantic retrieval, indexing, storage, presentation, together with long-term preservation. Keywords-Ontology Learning, Ontology Population, Natural Languages Processing