Carlo Allocca

• Doctor of Philosophy
• The Open University

Background Healthy lifestyle interventions have a positive impact on multiple disease trajectories, including cancer-related outcomes. Specifically, appropriate habitual physical activity, adequate sleep, and a regular wholesome diet are of paramount importance for the wellness and supportive care of survivors of cancer. Mobile health (mHealth) app...

The European Project GATEKEEPER aims to develop a platform and marketplace to ensure a healthier independent life for the aging population. In this platform the role of HL7 FHIR is to provide a shared logical data model to collect data in heterogeneous living, which can be used by AI Service and the Gatekeeper HL7 FHIR Implementation Guide was crea...

Telemedicine can provide benefits in patient affected by chronic diseases or elderly citizens as part of standard routine care supported by digital health. The GATEKEEPER (GK) Project was financed to create a vendor independent platform to be adopted in medical practice and to demonstrate its effect, benefit value, and scalability in 8 connected me...

BACKGROUND Healthy lifestyle interventions have a positive impact on multiple disease trajectories, including cancer-related outcomes. Specifically, appropriate habitual physical activity, adequate sleep, and a regular wholesome diet are of paramount importance for the wellness and supportive care of survivors of cancer. Mobile health (mHealth) app...

The GATEKEEPER (GK) Project was financed by the European Commission to develop a platform and marketplace to share and match ideas, technologies, user needs and processes to ensure a healthier independent life for the aging population connecting all the actors involved in the care circle. In this paper, the GK platform architecture is presented foc...

With the advent of Artificial Intelligence for healthcare, data synthesis methods present crucial benefits in facilitating the fast development of AI models while protecting data subjects and bypassing the need to engage with the complexity of data sharing and processing agreements. Existing technologies focus on synthesising real-time physiologica...

The World Health Organization and the American College of Sports Medicine have released guidelines on physical activity and sedentary behavior, as part of an effort to reduce inactivity worldwide. However, to date, there is no computational model that can facilitate the integration of these recommendations into health solutions (e.g., digital coach...

The paper presents DLV, an advanced AI system from the area of Answer Set Programming (ASP), showing its high potential for reasoning over ontologies. Ontological reasoning services represent fundamental features in the development of the Semantic Web. Among them, scientists are focusing their attention on the so-called ontology-based query answeri...

Ontology-based query answering (OBQA), without any doubt, represents one of the fundamental reasoning services in Semantic Web applications. Specifically, OBQA is the task of evaluating a (conjunctive) query over a knowledge base (KB) consisting of an extensional dataset paired with an ontology. A number of effective practical approaches proposed i...

One of the existing query recommendation strategies for unknown datasets is "by example", i.e. based on a query that the user already knows how to formulate on another dataset within a similar domain. In this paper we measure what contribution a structural analysis of the query and the datasets can bring to a recommendation strategy, to go alongsid...

Research has approached the practice of musical reception in a multitude of ways, such as the analysis of professional critique, sales figures and psychological processes activated by the act of listening. Studies in the Humanities, on the other hand, have been hindered by the lack of structured evidence of actual experiences of listening as report...

Virtual data integration takes place at query execution time and relies on transformations of the original query to many target endpoints, where the data reside. In systems that integrate many data sources, this means maintaining many mappings, queries and query templates, as well as possibly issuing separate queries for linking entities in the dat...

In this demo paper, a SPARQL Query Recommendation Tool (called SQUIRE) based on query reformulation is presented. Based on three steps, Generalization, Specialization and Evaluation, SQUIRE implements the logic of reformulating a SPARQL query that is satisfiable w.r.t a source RDF dataset, into others that are satisfiable w.r.t a target RDF dataset...

Purpose – Marine species data are scattered across a series of heterogeneous repositories and information systems. There is no repository that can claim to have all marine species data. Moreover, information on marine species are made available through different formats and protocols. The purpose of this paper is to provide models and methods that...

We present our work in the LifeWatchGreece infrastructure (ESFRI) on providing a conceptual interpretation of biodiversity datasets, with focus on a detailed, comprehensive modelling of the biological observation processes itself and its products. In the complex and heterogeneous biodiversity domain the data providers usually use their own schemata...

We present our work in the LifeWatchGreece infrastructure (ESFRI) on providing a conceptual interpretation of biodiversity datasets, with focus on a detailed, comprehensive modelling of the biological observation processes itself and its products. In the complex and heterogeneous biodiversity domain the data providers usually use their own schemata...

A large percentage of scientific data with tabular structure are published on the Web of Data as interlinked RDF datasets. When we come to the issue of long-term preservation of such RDF-based digital objects, it is important to provide full support for reusing them in the future. In particular, it should include means for both players who have no...

RML2CSV evaluationn

In many applications one has to fetch and assemble pieces of information coming from more than one web sources such as SPARQL endpoints. In this paper we describe the corresponding requirements and challenges, based on our experience, and then we present a process and a tool that we have developed, called MatWare , for constructing such semantic wa...

VoID (Vocabulary of Interlinked Datasets) has been proposed by W3C as the vocabulary for expressing metadata about RDF datasets. Despite its important contributions, VoID cannot express metadata that concern the connectivity of semantic warehouses. We use the term semantic warehouse to refer to a read-only set of RDF triples fetched (and transforme...

In many applications one has to fetch and assemble pieces of information coming from more than one SPARQL endpoints. In this paper we describe the corresponding requirements and challenges, and then we present a process for constructing such a semantic warehouse. We focus on the aspects of quality and value of the warehouse, and for this reason we...

Purpose – Marine species data are scattered across a series of heterogeneous repositories and information systems. There is no repository that can claim to have all marine species data. Moreover, information on marine species are made available through different formats and protocols. The purpose of this paper is to provide models and methods that...

Using semantic web search engines, such as Watson, Swoogle or Sindice, to find ontologies is a complex exploratory activity. It generally requires formulating multiple queries, browsing pages of results, and assessing the returned ontologies against each other to obtain a relevant and adequate subset of ontologies for the intended use. Our hypothes...

and other research outputs Expliciting semantic relations between ontologies in large ontology repositories

When different versions of an ontology are published online, the links between them are often lost as the standard mechanisms (such as owl:versionInfo and owl:priorVersion) to expose these links are rarely used. This generates issues in scenarios where people or applications are required to make use of large scale, heterogenous ontology collections...

In the context of Semantic Web Search Engines is becoming crucial to study relations between ontologies to improve the ontology selection task. In this paper, we describe DOOR - The Descriptive Ontology of Ontology Relations, to represent, manipulate and reason upon relations between ontologies in large ontology repositories. DOOR represents a firs...

There exist a number of large repositories and search engines collecting ontologies from the web or directly from users. While mechanisms exist to help the authors of these ontologies manage their evolution locally, the links between different versions of the same ontology are often lost when the ontologies are collected by such systems. By inspect...

In this paper, we describe our ongoing effort in describing and formalizing semantic relations that link ontolo- gies with each others on the Semantic Web in order to create an ontology, DOOR, to represent, manipulate and reason upon these relations. DOOR is a Descriptive Ontology of Ontology Relations which intends to define relations such as incl...

We present an efficient mechanism for finding equivalent ontologies motivated by the development of the Semantic Web search engine Watson. In principle, it computes a canonical form for the ontologies, which can then be compared syntactically to assess semantic equivalence. The advantage of using this method is that the canonical form can be indexe...

The Semantic Web can be seen as a large, heterogeneous network of ontologies and semantic documents. Characterizing these ontologies, the way they relate and the way they are organized can help in better understanding how knowledge is produced and published online. It also provides new ways to explore and exploit this large collection of ontologies...