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Author Aladdin Shamoug; Radmila Juric; Shamimabi Paurobally pdf  isbn
openurl 
  Title Ontological reasoning as a tool for humanitarian decision making Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Information systems; Ontology; Semantics; Humanitarian Crises; Humanitarian Response; Ontological reasoning; Reasoning; Swrl rules; Decision making  
  Abstract We propose an OWL/SWRL enabled ontological environment which can play a role in reporting and decision making in Humanitarian Crises (HC). We use (5WH): WHO, WHAT, WHERE, WHEN, WHY and HOW, as the main vehicle for gathering information for decision making. We implement the semantics of (5WH) through OWL models and perform reasoning with SWRL rules, in order to support decision making and create more efficient Humanitarian Response (HR). Our case study shows the feasibility of the proposal and its outcome. © 2012 ISCRAM.  
  Address School of Electronics and Computer Science, University of Westminster, London, United Kingdom  
  Corporate Author Thesis (up)  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Track Decision Support Methods for Complex Crises Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 204  
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Author Aladdin Shamoug; Radmila Juric pdf  isbn
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  Title Addressing interoperability through the semantic of Information Highway in managing responses in Humanitarian Crises Type Conference Article
  Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011  
  Volume Issue Pages  
  Keywords Highway administration; Information systems; Semantics; Taxonomies; Data repositories; Data retrieval; Donor levels; Humanitarian crises; Software systems; Interoperability  
  Abstract We propose an Information Highway (IH) which addresses interoperability in software systems supporting Humanitarian Crises (HC) and consequently enables efficient decision making at any level: operational, organizational and donor levels. We model our IH by (a) manipulating the semantics stored in knowledge of data repositories, which are interwoven in everyday activities of managing responses to HC and (b) understanding the meaning and the purpose of requests for data retrievals issued in such environments.  
  Address School of Electronics and Computer Science, University of Westminster, United Kingdom  
  Corporate Author Thesis (up)  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Interoperability and Standards Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 941  
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Author Aladdin Shamoug; Stephen Cranefield; Grant Dick pdf  isbn
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  Title Information Retrieval for Humanitarian Crises via a Semantically Classified Word Embedding Type Conference Article
  Year 2018 Publication Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. Abbreviated Journal Iscram Ap 2018  
  Volume Issue Pages 132-144  
  Keywords Ontologies, Word Embedding, Information Retrieval, Humanitarian Crisis, Humanitarian Response.  
  Abstract Decision-makers in humanitarian crisis need information to guide them in making critical decisions. Finding information in such environments is a challenging task. Therefore, decision-makers rely on domain experts who possess experience and knowledge from previous humanitarian crises to provide them with the information they need. In this paper, we explore the ability of the existing computing technologies to augment the capabilities of those experts and help decision-makers to make faster and better decisions. Among many computing technologies we have today, word embedding and the semantic web are able to support such augmentation of the domain expert. In this paper, we train a word embedding model using word2vec, transform words and terms from news archive to entities in domain ontology, annotate those entities with their equivalent concepts from upper ontologies, and reason about them using semantic similarity and semantic matching, to represent and retrieve knowledge, and answer questions of interest to decision-makers in humanitarian crises. The approach was evaluated by comparing the use of word embeddings with and without semantic classification for the retrieval of information about the current humanitarian crisis in Syria.  
  Address University of Otago; University of Otago; University of Otago  
  Corporate Author Thesis (up)  
  Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-0-473-45447-0 Medium  
  Track Data Issues for Situation/Disaster Awareness Expedition Conference ISCRAM Asia Pacific 2018: Innovating for Resilience - 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific  
  Notes aladdin.shamoug@postgrad.otago.ac.nz Approved no  
  Call Number Serial 1676  
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