The largeness and the heterogeneity of most graph-modeled datasets in several database application areas make query process a real challenge because lack complete knowledge vocabulary used, as well information about structural relationships between data.

Peer Data Management Systems (PDMSs) have been introduced as a solution to the problem of large-scale sharing semantically rich data. A PDMS consists semantic peers connected through mappings. Querying may lead very poor results, because degradation due approximations given by traversal mappings, thus leading how boost network mappings in PDMS.In this paper we propose strategy for incremental maintenance flexible organization that clusters together which are related Semantic Overlay Networks...

Museums are embracing social technologies in an attempt to broaden their audience and engage people. Although communication seems easy task, media managers know how hard it is reach millions of people with a simple message. Indeed, posts competing every day get visibility terms likes shares very little research focused on museums identify best practices. In this article, we focus Twitter propose novel method that exploits interpretable machine learning techniques to: (a) predict whether...

UCbase 2.0 (http://ucbase.unimore.it) is an update, extension and evolution of UCbase, a Web tool dedicated to the analysis ultraconserved sequences (UCRs). UCRs are 481 >200 bases sharing 100% identity among human, mouse rat genomes. They frequently located in genomic regions known be involved cancer or differentially expressed human leukemias carcinomas. platform-independent resource that includes updated version genome annotation (hg19), information linking disorders chromosomal...

The huge amount of data available from Internet information sources has focused much attention on the sharing distributed through Peer Data Management Systems (PDMSs). In a PDMS, peers have schema their local data, and they are related each other semantic mappings that can be defined between own schemas.Querying PDMS means either flooding network with messages to all or take advantage routing mechanism reformulate query only best selected according some given criteria. As reformulations may...

In this paper, we propose a versatile disambiguation approach which can be used to make explicit the meaning of structure based information such as XML schemas, document structures, web directories, and ontologies. It support semantic-awareness wide range applications, from schema matching query rewriting peer data management systems, clustering ontology-based automatic annotation pages expansion. The effectiveness achieved results has been experimentally proved is founded both on flexible...

The synergy between peer-to-peer systems and semantic Web technologies supports large-scale sharing of semantically rich data, usually represented through schemas such as RDF. Peers rarely share the same vocabulary, so resulting heterogeneity data representations introduces new challenges for efficient effective retrieval relevant information. authors leverage presence approximations peers' to improve query routing by identifying peers that best satisfy user's requests, inform users...

The digital transformation of organizations is making workplace collaboration more and powerful work always "observable"; however, the informational managerial potential generated data still largely unutilized in Human Resource Management (HRM). Our research, conducted with business engineers economists, aims at exploring relationship between behaviors employee attitudes. This paper a work-in-progress contribution that presents preliminary phase analysis we performed on collection Enterprise...

Textual data is the main electronic form of knowledge representation. Sentences, meant as logic units meaningful word sequences, can be considered its backbone. In this paper, we propose a solution based on purely syntactic approach for searching similarities within sentences, named approximate sub2sequence matching. This process being very time consuming, efficiency in retrieving most similar parts available large repositories textual ensured by making use new filtering techniques. As far...

Background: Conferences bring scientists together and provide one of the most timely means for disseminating new ideas cutting-edge works.The importance conferences in scientific areas is testified by quantitative indicators. In Computer Science, instance, almost two out three papers published on Scopus are conference papers. Objective/Purpose: The main goal this paper to investigate a novel research question: there any correlation between impact venue where it took place? Approach: order...

The linguistic and social impact of multiculturalism can no longer be neglected in any sector, creating the urgent need systems procedures for managing sharing cultural heritages both supranational multi-literate contexts. In order to achieve this goal, text sensing appears one most crucial research areas. long-term objective DigitalMaktaba project, born from interdisciplinary collaboration between computer scientists, historians, librarians, engineers linguists, is establish creation,...

Exposing city information to dynamic, distributed, powerful, scalable, and user-friendly big data systems is expected enable the implementation of a wide range new opportunities; however, size, heterogeneity geographical dispersion often makes it difficult combine, analyze consume them in single system. In context H2020 CLASS project, we describe an innovative framework aiming facilitate design advanced big-data analytics workflows. The proposal covers whole compute continuum, from edge...