Knowledge sharing by information retrieval in the semantic web

Effective and efficient information retrieval, knowledge sharing and combining has become an essential part of more and more professional tasks and work flows in different kinds of projects. Our aim is to investigate the use of emerging Semantic Web technologies, tools, and standards in the support of effective information retrieval in real multi-disciplinary activities, such as innovative product design. This paper presents an approach to knowledge sharing and information support that has been developed and adopted, the information system architecture that is being developed to test both this approach, and the Semantic Web techniques that are used in its implementation, some early results, and a discussion of related work in information systems and Semantic Web techniques and tools

Informationsmanagement auf der Basis von Semantic-Web Techniken oder ein Google für Entwickler

Information retrieval often suffers from the lack of suitable search tools or the query complexity. The search of some concrete information on the base of file names or the coincidental occurrence of key words in files is little helpful because the obtainable matches are too much subject to chance. Therefore an effective search must be based on the semantic interpretation of the query and additionally casts of the query into the context of an application domain. Here the development of the search machine prototype WIDE is presented, which builds up the query interpretation on Semantic Web techniques. The search machine can be configured for application domains and is able to map a query to different data sources in parallel. The search machine processes the retrieved results graphically and associates the concepts used in the Query with thematically related concepts. The search machine can be used to retrieve text documents or test bed results of experiments archived in ASAMODS data source

Alle origini della conquista dell’Italia meridionale: Arduino e l’entrata dei Normanni a Melfi

Il contributo analizza le fonti inerenti l'entrata dei Normanni a Melfi e la relazione esistente tra Impero, Normanni e Regno d'Italia attraverso la figura del milanese Arduino

Organization and regional distribution of centers for the management of children and adolescents with diabetes in Italy

The incidence of type 1 diabetes in childhood is increasing by 3 % per year, placing growing demands on healthcare professionals and medical expenditures. Aim of this study wars to assess the organization of care to children with diabetes in Italy

Emerging effects of early environmental factors over genetic background for type 1 diabetes susceptibility: evidence from a Nationwide Italian Twin Study.

CONTEXT: The incidence of type 1 diabetes has been increasing over time. OBJECTIVE: We estimated the genetic and environmental components of type 1 diabetes susceptibility in a twin cohort of recent-onset cases to explore the sources of changing disease epidemiology. DESIGN: We linked the population-based Italian Twin Registry with 14803 type 1 diabetes records from 36 pediatric diabetes care centers throughout Italy, except Sardinia, and identified 173 diabetic twins. Patients were positive for at least one autoantibody to islet cell, glutamate decarboxylase, tyrosine phosphatase, insulin, or zinc transporter 8 and were insulin dependent since their diagnosis. Zygosity was determined by DNA genotyping or by questionnaire. OUTCOME MEASURES: We estimated proband-wise concordance, cotwin recurrence risk with Kaplan-Meier method, and genetic and environmental proportions of susceptibility variance by structural equation models. RESULTS: We recruited 104 diabetic twins (53 males) from 88 pairs (34 monozygotic, 54 dizygotic) and one triplet. The mean age at diagnosis was 8.1 yr (range 1.1-20.5 yr), and the median year of diagnosis was 2002. Proband-wise concordances were 45.5 and 16.4% in monozygotic and dizygotic pairs (P = 0.01). Recurrence risks in monozygotic and dizygotic cotwins were 37 and 12% after 10 yr from the proband's diagnosis (P = 0.005). Genetic contribution to type 1 diabetes susceptibility was 40% (95% confidence interval 8-78), and the shared and individual-specific environmental components were 51% (14-77) and 9% (4-19), respectively. CONCLUSIONS: In addition to the moderate genetic effects on type 1 diabetes susceptibility, our results draw attention to the substantial shared environmental effects, suggesting that exposures in fetal or early postnatal life may contribute to the increasing incidence of the disease