12,727 research outputs found
Semantic heuristic search in collaborative networks: Measures and contexts
No full textRelating, connecting and navigating between concepts represent a major challenge for machine intelligence. On the other hand, collaborative repositories provide a large base of knowledge already filtered, structured, linked and meaningful from a human semantic point of view. Although these repositories are machine accessible, they have no formal explicit semantic tagging to help for automatic navigation in them. In this paper we present a randomized approach, based on Heuristic Semantic Walk (HSW) for searching a collaborative network in order to extract meaningful semantic chains between concepts. The method is based on the use of heuristics defined on semantic proximity measures, which can be easily computed from general search engines statistics. Information from multiple random chains can be used to compute semantic distances between the concepts, as well as to determine the underlying semantic context. The proposed method solves major issues posed by collaborative networks, such as large dimensions, high connectivity degree and dynamical evolution of online networks, which make classical search methods inefficient and unfeasible. In this study the HSW model has been experimented on Wikipedia. Tests held with the well known Word Sym353 benchmark for human evaluation show that the proposed model is comparable to best state-of-the-art results, while being the only web-based approach. Other potential applications range from query expansion, argumentation mining, and simulation of user navigation. © 2014 IEEE
MABS validation through repeated execution and data mining analysis
No full textAgent Based Modelling is the most interesting and advanced approach for simulating a complex system: in a social context, the single parts and the whole are often very hard to describe in detail. Besides, there are agent based formalisms which allow to study the emergency of social behaviour with the creation and study of models, known as artificial societies. Thanks to the ever increasing computational power, it's been possible to use such models to create software, based on intelligent agents, which aggregate behaviour is complex and difficult to predict, and can be used in open and distributed systems. Data mining is born in the last decades in order to help users in finding useful knowledge from the otherwise overwhelming amount of data available nowadays from the web and the data collected every day by companies. Data Mining techniques can therefore be the keystone to reveal non-trivial knowledge expressed by the initial assumption used to build the micro-level of the model and the structure of the society of agents that emerged from the simulation
“Continuum Ansia e Depressione”. Presentazione casi clinici. (Boehringer-Ingelheim). Camogli (Genova), 17-18 aprile 2009 (co-relatori: G. Biggio, G. Cerveri, C. Mencacci, G.R. Perna, R.L. Picci, V. Rosso, R. Torta, M. Vaggi).
No full textPresentazione casi clinici
Heuristics for semantic path search in Wikipedia
No full textIn this paper an approach based on Heuristic Semantic Walk (HSW) is presented, where semantic proximity measures among concepts are used as heuristics in order to guide the concept chain search in the collaborative network of Wikipedia, encoding problem-specific knowledge in a problem-independent way. Collaborative information and multimedia repositories over the Web represent a domain of increasing relevance, since users cooperatively add to the objects tags, label, comments and hyperlinks, which reflect their semantic relationships, with or without an underlying structure. As in the case of the so called Big Data, methods for path finding in collaborative web repositories require solving major issues such as large dimensions, high connectivity degree and dynamical evolution of online networks, which make the classical approach ineffective. Experiments held on a range of different semantic measures show that HSW lead to better results than state of the art search methods, and points out the relevant features of suitable proximity measures for the Wikipedia concept network. The extracted semantic paths have many relevant applications such as query expansion, synthesis of explanatory arguments, and simulation of user navigation
Facades of the Libreria di San Marco in Venice, The: An Interpretation of the Design Process
No full text"A new work in which I propose an interpretation of the design process Sansovino used to create the magnificent facades of the Libreria di San Marco in Venice, a masterpiece of Renaissance architecture." Sent to Marquand librarian by author Dec. 202
Art without an Author: Vasari’s Lives and Michelangelo’s Death
No full textMonografia sulla rappresentazione di Michelangelo nelle due edizioni delle Vite, sulla storia del libro e la questione della sua paternitàBook dedicated to the representation of Michelangelo in Vasari's Lives of the Artists, to the history of the book, and to the problem of its authorshi
How Did COVID-19 Affect Suicidality? Data from a Multicentric Study in Lombardy
No full textThe aim of the study was to describe the characteristics of subjects accessing the emergency rooms for suicidal behavior during the first epidemic wave of COVID-19 in three Emergency Departments (EDs) in Lombardy (Italy). A retrospective chart review was conducted for the period 8 March-3 June 2020, and during the same time frame in 2019. For all subjects accessing for suicidality, socio-demographic and clinical data were collected and compared between the two years. The proportion of subjects accessing for suicidality was significantly higher in 2020 than in 2019 (13.0 vs. 17.2%, p = 0.03). No differences between the two years were found for sex, triage priority level, history of substance abuse, factor triggering suicidality and discharge diagnosis. During 2020 a greater proportion of subjects did not show any mental disorders and were psychotropic drug-free. Women were more likely than men to receive inpatient psychiatric treatment, while men were more likely to be discharged with a diagnosis of acute alcohol/drug intoxication. Our study provides hints for managing suicidal behaviors during the still ongoing emergency and may be primary ground for further studies on suicidality in the course of or after massive infectious outbreaks
How to prevent crimes using earthquakes
Get PDFIn this chapter the author describes how techniques coming from earthquakes prediction has been used to produce successful mathematical models useful in preventing crimes
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