1,720,976 research outputs found

    Spatio-temporal decision support system for natural crisis management with tweetComP1

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    This paper discusses the design of a social media analysis system for decision making in natural disasters where tweets are analyzed to achieve situational awareness in earthquake and tsunami events. The system is demonstrated and evaluated using a scenario-based methodology. An empirical study is undertaken to get feedback and further requirements from practitioners working in the field of hazard detection and early warning. The main contribution of the paper is that we propose a framework which builds upon a system for tsunami detection and early warning, developed in the project Collaborative, Complex, and Critical Decision-Support in Evolving Crises (TRIDEC). The system is evaluated by the Kandilli Observatory and Earthquake Research Institute (KOERI) and the Portuguese Institute for the Sea and Atmosphere (IPMA) against official international requirements as well as individual national requirements to incorporate new features and functionalities related to human sensor network analysis, and to fit into existing workflows

    World Tsunami Awareness Day 2022 Community Tsunami Exercise in Büyükçekmece-Istanbul (Türkiye)

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    The first community tsunami evacuation exercise of Türkiye has been organised on 4 November 2022 in Büyükçekmece District of Istanbul within the frame of at the CoastWAVE Project funded by the Directorate-General for European Civil Protection and Humanitarian Aid Operations (DG-ECHO). The Exercise was based on an earthquake scenario prepared by Kandilli Observatory and Earthquake Research Institute (KOERI), Gebze Technical University (GTU), and Middle East Technical University (METU), which would trigger a tsunami that would mainly impact İstanbul but also lead to tsunami impact in other cities in the vicinity of the Marmara Sea. The evacuation part of the exercise is prepared in the coordination of KOERI with the collaboration of Istanbul Metropolitan Municipality (IMM) and Disaster and Emergency Management Presidency of Republic of Türkiye (AFAD) with the contribution of other civilian authorities, the provincial security directorate, provincial gendarmerie command, district governorship/prefecture etc. JRC-E1 has been invited to act as an Observer of the Exercise. This report has been prepared to address this function and provides a summary of observations and recommendations for future exercises.JRC.E.1 - Disaster Risk Managemen

    A semantic IoT early warning system for natural environment crisis management

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    An early warning system (EWS) is a core type of data driven Internet of Things (IoTs) system used for environment disaster risk and effect management. The potential benefits of using a semantic-type EWS include easier sensor and data source plug-and-play, simpler, richer, and more dynamic metadata-driven data analysis and easier service interoperability and orchestration. The challenges faced during practical deployments of semantic EWSs are the need for scalable time-sensitive data exchange and processing (especially involving heterogeneous data sources) and the need for resilience to changing ICT resource constraints in crisis zones. We present a novel IoT EWS system framework that addresses these challenges, based upon a multisemantic representation model.We use lightweight semantics for metadata to enhance rich sensor data acquisition.We use heavyweight semantics for top level W3CWeb Ontology Language ontology models describing multileveled knowledge-bases and semantically driven decision support and workflow orchestration. This approach is validated through determining both system related metrics and a case study involving an advanced prototype system of the semantic EWS, integrated with a reployed EWS infrastructure

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We 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

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    We 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

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