New insights to assess the consolidation of stone materials used in built heritage: the case study of ancient graffiti (Tituli Picti) in the archaeological site of Pompeii

Abstract Tituli Picti are an ancient form of urban graffiti very common in the archaeological site of Pompeii (Naples, South—Italy). They are generally made of red pigments applied on walls of Campanian ignimbrite. This paper deals with a scientific investigation aimed to their conservation. This is a challenging task since it requires a multidisciplinary approach that includes restorers, archaeologists and conservation scientists. The study has provided suggestions on the proper way to conserve Tituli Picti over time. In the present work, several specimens of Campanian ignimbrite were painted with red earth pigment; lime and Arabic gum have been used as binders as well. Such painted stones were treated with three consolidants: a suspension of reactive nanoparticles of silica, ethyl silicate and an acrylic microemulsion. Treated and untreated specimens were subjected to thermal aging, artificial solar radiation and induced crystallization decay. It has been assessed the colorimetric variations induced by treatments. Moreover, the micromorphologic features of the consolidated surfaces have been highlighted by means of electron microscope observations. The scotch tape test allowed to compare the superficial cohesion induced by the three used products. According to the results, ethyl silicate seems to represent the most successful product

La classificazione di testi: metodi, modelli e strumenti per la linguistica computazionale

Dottorato di ricerca in ingegneria dei sistemi ed informatica. 12. ciclo. A.a. 1998-99. Coordinatore Manlio Gaudioso. Tutore Alfredo EisinbergConsiglio Nazionale delle Ricerche - Biblioteca Centrale - P.le Aldo Moro, 7, Rome; Biblioteca Nazionale Centrale - P.za Cavalleggeri, 1, Florence / CNR - Consiglio Nazionale delle RichercheSIGLEITItal

An algorithm for discovering ontology mappings in P2P systems

Ontology Mapping is mandatory for enabling semantic interoperability among different agents and services making use of different ontologies. The ontology mapping problem becomes more critical in P2P systems since: (i) the number of different ontologies can dramatically increase; (ii) ontology mapping must be performed on the fly and only on parts of ontologies contextual to a specific interaction in which the peers are involved; (iii) complex mapping strategies (e.g., structural mapping) cannot be exploited since peers are not aware of one another's ontologies. Hence, specific techniques have to be designed. This paper presents and evaluate the SEmantiC COordinator (SECCO) ontology mapping algorithm that addresses the abovementioned issues by adopting a mapping strategy based on the evaluation of three different similarity measures: syntactic, lexical and contextual. © 2008 Springer-Verlag Berlin Heidelberg

DESCRY: a Density Based Clustering Algorithm for Very Large Data Sets

Abstract. A novel algorithm, named DESCRY, for clustering very large multidimensional data sets with numerical attributes is presented. DESCRY discovers clusters having different shape, size, and density and when data contains noise by first finding and clustering a small set of points, called meta-points, that well depict the shape of clusters present in the data set. Final clusters are obtained by assignign each point to one of the partial clusters. The computational complexity of DESCRY is linear both in the data set size and in the data set dimensionality. Experiments show the very good qualitative results obtained comparable with those obtained by state of the art clustering algorithms.

Semantic Enterprise Technologies

Abstract. Nowadays enterprises request information technologies that leverage structured and unstructured information for providing a single integrated view of business problems in order to foster better business process management and decision making. The growing interest in semantic technologies is due to the limitation of existing enterprise information technologies to answer these new challenging needs. Semantic Web Technologies (SWT), the current open standard approaches to semantic technologies based on semantic web languages, provide some interesting answers to novel enterprise needs by allowing to use domain knowledge within applications. However, SWT aren’t well suited for enterprise domain because of some drawbacks and a lack of compatibility with enterprise-class applications. This paper presents the new Semantic Enterprise Technologies (SET) paradigm founded on the idea of Semantic Models that are executable, flexible and agile representation of domain knowledge. Semantic Models are expressed by means of the Codex Language obtained combining Disjunctive Logic Programming (Datalog plus disjunction) and Attribute Grammars both extended by object-oriented and twodimensional capabilities. Semantic Models enable to exploit domain knowledge for managing both structured and unstructured information. Since the Codex Language derives from the database field, it allows SET to provide advanced semantic capabilities well suited for enterprises. Differences and interoperability issue between SET and SWT are briefly discussed in the paper that shows, also the SET Reference Architecture (SETA), an application example and the business value of SET.

Getting knowledge from presentation‐oriented documents

Dottorato di Ricerca in Ingegneria dei Sistemi ed Informatica, XXIII Ciclo,2010Università della Calabri

Semantic clinical process management

This work describes a clinical process management system aimed to support a process-centred vision of health care practices. The system is founded on knowledge representation and semantic information extraction approaches allowing medical knowledge modelling and acquisition, At the heart of the system there are formalisms and languages well suited for representing, clinical processes as workflows, medical and domain knowledge as ontologies and rules enabling the recognition of semantic patterns representing ontology concepts. The system acquires and stores clinical process instances into a medical knowledge base which parameters are obtained exploiting a semantic information extraction approach enabling automatic medical knowledge acquisition from unstructured clinical documents. The main goal of the system is to assists health care professional in executing and monitoring clinical processes by providing functionalities for automatic knowledge acquisition. Acquired information can be analyzed for identifying main causes of medical errors, high costs and, potentially, to suggest clinical processes restructuring or improvement able to enhance cost control and patient safety

SECCO: On Building Semantic Links in Peer-to-Peer Networks

Ontology Mapping is a mandatory requirement for enabling semantic interoperability among different agents and services relying on different ontologies. This aspect becomes more critical in Peer-to-Peer (P2P) networks for several reasons: (i) the number of different ontologies can dramatically increase; (ii) mappings among peer ontologies have to be discovered on the fly and only on the parts of ontologies ``contextual'' to a specific interaction in which peers are involved; (iii) complex mapping strategies (e.g., structural mapping based on graph matching) cannot be exploited since peers are not aware of one another's ontologies. In order to address these issues, we developed a new ontology mapping algorithm called Semantic Coordinator (SECCO). SECCO is composed by three individual matchers: syntactic, lexical and contextual. The syntactic matcher, in order to discover mappings, exploits different kinds of linguistic information (e.g., comments, labels) encoded in ontology entities. The lexical matcher enables discovering mappings in a semantic way since it ``interprets'' the semantic meaning of concepts to be compared. The contextual matcher relies on a ``how it fits'' strategy, inspired by the contextual theory of meaning, and by taking into account the contexts in which the concepts to be compared are used refines similarity values. We show through experimental results that SECCO fulfills two important requirements: fastness and accuracy (i.e., quality of mappings). SECCO, differently from other semantic P2P applications (e.g., Piazza, GridVine) that assume the preexistence of mappings for achieving semantic interoperability, focuses on the problem of finding mappings. Therefore, if coupled with a P2P platform, it paves the way towards a comprehensive semantic P2P solution for content sharing and retrieval, semantic query answering and query routing. We report on the advantages of integrating SECCO in the K-link+ system