1,720,964 research outputs found
An Associative Engines Based Approach Supporting Collaborative Analytics in the Internet of Cultural Things
No full textIn this paper we illustrate an integrated approach supporting an information system which combines Business Intelligence, Big Data, Internet of Things, GeoSpatial information processing, multimedia resources, structured and unstructured content analysis with Semantic techniques, and Social Network Analysis. This system exploits the specific opportunities provided by Associative in-memory technologies in the context of Cloud Computing and Collaborative processes and experiments the use of semantic technologies to mitigate the efforts involved in merging, and analyzing information incoming from different sources. The primary aim is supporting Cultural Heritage (CH) Asset crowdsourcing, promotion, publication, management and usage. Preliminary results are reported from ongoing experimentation, focused on visitors interests and behaviour analysis performed by monitoring, comparing and combining information from different types of populations and visits: on-site ad-hoc (exhibitions, museums, cultural events, etc.), territorial (eg. Historical downtown, touristic areas including relevant CH resources) and Virtual - Worldwide Internet based visits
An IoT data analytics approach for cultural heritage
No full textThe ability to integrate, manage, and analyze large amounts of data extracted from different sources is becoming a key asset for businesses, organizations, and research institutions that deal with the cultural heritage domain. Nowadays, it is well known that modern technologies and the massive use of mobile devices can contribute to generate an enormous flow of data, whose collection, analysis, and interpretation allows for real-time analysis related to the behaviors, preferences, and opinions of users. In this paper, we present and discuss a data analytics approach relying on an Internet of Things framework. The main goal is to assess how the collection of behavioral IoT data coming from the cultural heritage domain can be opportunely exploited by means of data science and data analytics techniques in order to produce useful insights. Experimental results performed in a real case study demonstrate how the cultural heritage domain, and the related stakeholders, can benefit from these kind of applications
What's the Matter with Cultural Heritage Tweets? An Ontology - Based Approach for CH Sensitivity Estimation in Social Network Activities
No full textIn 2015, Twitter introduced the hashtag #culturalheritage, thus giving an empirical evidence of the increasing interest of users towards cultural topics and events. In the last years, while an increasing number of studies and initiatives about tweets, in both the academic and business worlds, raised, a lack of quantitative studies devoted to assess their potential and effectiveness for organizations promoting Cultural Heritage was recorded. So, this work describes a quantitative analysis of tweets which combines NLP, semantic technologies, geo-referencing and temporal analysis. The initial set of measures aims to characterize people's interest and sensitivity into CH subjects, geographical density of CH resources, and temporal proximity to CH-related events. Furthermore, in order to evidence the relevance of the obtained results, they are compared to similar measures computed for different but more general topics - such as Medicine - while at the same time entail a certain specificity of interest, which cannot be confused with reactions to common mainstream, glamour or massive-impressive events (earthquakes, political elections, wars, amazing news). This kind of analysis was focused on huge datasets of tweets, issued in a long period of time from geographical areas of Italy having different densities of CH resources, The results encourage and sustain a Business-Intelligence approach which is suitable for both no-profit ad business oriented organizations, such as those involved in the DATABENC District
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Modeling Excitable Cells with the EMI Equations: Spectral Analysis and Iterative Solution Strategy
Full text linkIn this work, we are interested in solving large linear systems stemming from the extra–membrane–intra model, which is employed for simulating excitable tissues at a cellular scale. After setting the related systems of partial differential equations equipped with proper boundary conditions, we provide its finite element discretization and focus on the resulting large linear systems. We first give a relatively complete spectral analysis using tools from the theory of Generalized Locally Toeplitz matrix sequences. The obtained spectral information is used for designing appropriate preconditioned Krylov solvers. Through numerical experiments, we show that the presented solution strategy is robust w.r.t. problem and discretization parameters, efficient and scalable
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Fast Parallel Solver for the Space-time IgA-DG Discretization of the Diffusion Equation
No full textWe consider the space-time discretization of the diffusion equation, using an isogeometric analysis (IgA) approximation in space and a discontinuous Galerkin (DG) approximation in time. Drawing inspiration from a former spectral analysis, we propose for the resulting space-time linear system a multigrid preconditioned GMRES method, which combines a preconditioned GMRES with a standard multigrid acting only in space. The performance of the proposed solver is illustrated through numerical experiments, which show its competitiveness in terms of iteration count, run-time and parallel scaling
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