Prototipo di un sistema data warehouse per le Università italiane basato su tecnologie semantiche

Tesi riguardante le differenze tra Semantic Web e Web Tradizionale

Introduction to the Semantic Web and the Web of Linked Data

Presentation given as part of the EPrints/dotAC training event on 26 Mar 2010.

Semantic Web In Use

Presentation given as part of the EPrints/dotAC training day on 26 Mar 2010.

What's in a name? The Semantic Web's identity crisis

WAIS Seminar, presented 29 Mar 2012

Big data warehouse framework for smart revenue management

Revenue Management’s most cited definitions is probably “to sell the right accommodation to the right customer, at the right time and the right price, with optimal satisfaction for customers and hoteliers”. Smart Revenue Management (SRM) is a project, which aims the development of smart automatic techniques for an efficient optimization of occupancy and rates of hotel accommodations, commonly referred to, as revenue management. One of the objectives of this project is to demonstrate that the collection of Big Data, followed by an appropriate assembly of functionalities, will make possible to generate a Data Warehouse necessary to produce high quality business intelligence and analytics. This will be achieved through the collection of data extracted from a variety of sources, including from the web. This paper proposes a three stage framework to develop the Big Data Warehouse for the SRM. Namely, the compilation of all available information, in the present case, it was focus only the extraction of information from the web by a web crawler – raw data. The storing of that raw data in a primary NoSQL database, and from that data the conception of a set of functionalities, rules, principles and semantics to select, combine and store in a secondary relational database the meaningful information for the Revenue Management (Big Data Warehouse). The last stage will be the principal focus of the paper. In this context, clues will also be giving how to compile information for Business Intelligence. All these functionalities contribute to a holistic framework that, in the future, will make it possible to anticipate customers and competitor’s behavior, fundamental elements to fulfill the Revenue Management

Context Mediation in the Semantic Web: Handling OWL Ontology and Data Disparity through Context Interchange

The COntext INterchange (COIN) strategy is an approach to solving the problem of interoperability of semantically heterogeneous data sources through context mediation. COIN has used its own notation and syntax for representing ontologies. More recently, the OWL Web Ontology Language is becoming established as the W3C recommended ontology language. We propose the use of the COIN strategy to solve context disparity and ontology interoperability problems in the emerging Semantic Web – both at the ontology level and at the data level. In conjunction with this, we propose a version of the COIN ontology model that uses OWL and the emerging rules interchange language, RuleML.

Dynamic Document Generation from Semantic Web Data

This talk will present an overview of the ongoing ERCIM project SMARTDOCS (SeMAntically-cReaTed DOCuments) which aims at automatically generating webpages from RDF data. It will particularly focus on the current issues and the investigated solutions in the different modules of the project, which are related to document planning, natural language generation and multimedia perspectives. The second part of the talk will be dedicated to the KODA annotation system, which is a knowledge-base-agnostic annotator designed to provide the RDF annotations required in the document generation process.

Embedding Semantic Web Data

RDFa JSON-LD Microdata

Supporting semantic web technologies in the pervasive service ecosystems middleware

Semantic Web technologies are strategic in order to fulfill the openness requirement of Self-Aware Pervasive Service Ecosystems. In fact they provide agents with the ability to cope with distributed data, using RDF to represent information, ontologies to describe relations between concepts from any domain (e.g. equivalence, specialization/extension, and so on) and reasoners to extract implicit knowledge. The aim of this thesis is to study these technologies and design an extension of a pervasive service ecosystems middleware capable of exploiting semantic power, and deepening performance implications.

Conversione per il Semantic Web di dati Turistico-Culturali: il progetto QRPlaces - Semantic Events

Il progetto QRPlaces - Semantic Events, oggetto di questo lavoro, focalizza l’attenzione sull’analisi, la progettazione e l’implementazione di un sistema che sia in grado di modellare i dati, relativi a diversi eventi facenti parte del patrimonio turistico - culturale della Regione Emilia Romagna 1, rendendo evidenti i vantaggi associati ad una rappresentazione formale incentrata sulla Semantica. I dati turistico - culturali sono intesi in questo ambito sia come una rappresentazione di “qualcosa che accade in un certo punto ad un certo momento” (come ad esempio un concerto, una sagra, una raccolta fondi, una rappresentazione teatrale e quant’altro) sia come tradizioni e costumi che costituiscono il patrimonio turistico-culturale e a cui si fa spesso riferimento con il nome di “Cultural Heritage”. Essi hanno la caratteristica intrinseca di richiedere una conoscenza completa di diverse informa- zioni correlata, come informazioni di geo localizzazione relative al luogo fisico che ospita l’evento, dati biografici riferiti all’autore o al soggetto che è presente nell’evento piuttosto che riferirsi ad informazioni che descrivono nel dettaglio tutti gli oggetti, come teatri, cinema, compagnie teatrali che caratterizzano l’evento stesso. Una corretta rappresentazione della conoscenza ad essi legata richiede, pertanto, una modellazione in cui i dati possano essere interconnessi, rivelando un valore informativo che altrimenti resterebbe nascosto. Il lavoro svolto ha avuto lo scopo di realizzare un dataset rispondente alle caratteristiche tipiche del Semantic Web grazie al quale è stato possibile potenziare il circuito di comunicazione e informazione turistica QRPlaces 2. Nello specifico, attraverso la conversione ontologica di dati di vario genere relativi ad eventi dislocati nel territorio, e sfruttando i principi e le tecnologie del Linked Data, si è cercato di ottenere un modello informativo quanto più possibile correlato e arricchito da dati esterni. L’obiettivo finale è stato quello di ottenere una sorgente informativa di dati interconnessi non solo tra loro ma anche con quelli presenti in sorgenti esterne, dando vita ad un percorso di collegamenti in grado di evidenziare una ricchezza informativa utilizzabile per la creazione di valore aggiunto che altrimenti non sarebbe possibile ottenere. Questo aspetto è stato realizzato attraverso un’in- terfaccia di MashUp che utilizza come sorgente il dataset creato e tutti i collegamenti con la rete del Linked Data, in grado di reperire informazioni aggiuntive multi dominio.

Semantic Publishing: issues, solutions and new trends in scholarly publishing within the Semantic Web era

This work is concerned with the increasing relationships between two distinct multidisciplinary research fields, Semantic Web technologies and scholarly publishing, that in this context converge into one precise research topic: Semantic Publishing. In the spirit of the original aim of Semantic Publishing, i.e. the improvement of scientific communication by means of semantic technologies, this thesis proposes theories, formalisms and applications for opening up semantic publishing to an effective interaction between scholarly documents (e.g., journal articles) and their related semantic and formal descriptions. In fact, the main aim of this work is to increase the users' comprehension of documents and to allow document enrichment, discovery and linkage to document-related resources and contexts, such as other articles and raw scientific data. In order to achieve these goals, this thesis investigates and proposes solutions for three of the main issues that semantic publishing promises to address, namely: the need of tools for linking document text to a formal representation of its meaning, the lack of complete metadata schemas for describing documents according to the publishing vocabulary, and absence of effective user interfaces for easily acting on semantic publishing models and theories.