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CrisMap: a Big Data Crisis Mapping System Based on Damage Detection and Geoparsing
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2018 | Information Systems Frontiers | Citations: 9
Authors: Avvenuti, Marco; Cresci, Stefano; Del Vigna, Fabio; Fagni, Tiziano; Tesconi, Maurizio

Abstract: Natural disasters, as well as human-made disasters, can have a deep impact on wi ... Expand

Abstract: Natural disasters, as well as human-made disasters, can have a deep impact on wide geographic areas, and emergency responders can benefit from the early estimation of emergency consequences. This work presents CrisMap, a Big Data crisis mapping system capable of quickly collecting and analyzing social media data. CrisMap extracts potential crisis-related actionable information from tweets by adopting a classification technique based on word embeddings and by exploiting a combination of readily-available semantic annotators to geoparse tweets. The enriched tweets are then visualized in customizable, Web-based dashboards, also leveraging ad-hoc quantitative visualizations like choropleth maps. The maps produced by our system help to estimate the impact of the emergency in its early phases, to identify areas that have been severely struck, and to acquire a greater situational awareness. We extensively benchmark the performance of our system on two Italian natural disasters by validating our maps against authoritative data. Finally, we perform a qualitative case-study on a recent devastating earthquake occurred in Central Italy. Collapse

Semantic filters: tornado search engine

Topics: Twitter earthquake Wikipedia natural hazard big data

Methods: natural language processing word embedding case study support vector machine experiment
Emergency Vocabulary
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2018 | Information Systems Frontiers | Citations: 3
Authors: Nemeskey, Dávid Márk; Kornai, András

Abstract: For disaster preparedness, a key aspect of the work is the identification, ahead ... Expand

Abstract: For disaster preparedness, a key aspect of the work is the identification, ahead of time, of the vocabulary of emergency messages. Here we describe how static repositories of traditional news reports can be rapidly exploited to yield disaster- or accident-implicated words and named entities. Collapse

Semantic filters: tornado search engine

Topics: tornado tsunami earthquake armed conflict terrorist incident

Methods: experiment CoreNLP pilot experiment computational algorithm Okapi BM25
Enhancing Literature Review Methods - Evaluation of a Literature Search Approach based on Latent Semantic Indexing

2014 | International Conference on Information Systems | Citations: 4
Authors: Koukal, André; Gleue, Christoph; Breitner, Michael H

Abstract: Literature search, as a fundamental and time-consuming step in a literature rese ... Expand

Abstract: Literature search, as a fundamental and time-consuming step in a literature research process, is part of many established scientific research methods. The facilitated access to scientific resources requires an increasing effort to conduct comprehensive literature reviews. We address the lack of semantic approaches in this context by proposing and evaluating our Tool for Semantic Indexing and Similarity Queries (TSISQ) for the enhancement of established literature review methods. Its applicability is evaluated in different environments and search cases covering realistic applications. Results indicate that TSISQ can increase efficiency by saving valuable time in finding relevant literature in a desired research field, improve the quality of search results, and enhance the comprehensiveness of a review by identifying sources that otherwise would not have been considered. The target audience includes all researchers who need to efficiently gain an overview of a specific research field and refine the theoretical foundations of their research. Collapse

Semantic filters: tornado search engine

Topics: database system privacy IT security information retrieval search engine

Methods: literature study case study machine learning laboratory experiment term frequency–inverse document frequency
A system architecture for intelligent browsing on the Web
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2000 | Decision Support Systems | Citations: 1
Authors: Lai, Hsiangchu; Yang, Tzyy-Ching

Abstract: Compared with traditional business operations, WWW-based commerce has many advan ... Expand

Abstract: Compared with traditional business operations, WWW-based commerce has many advantages, such as timeliness, worldwide communication, hyperlinks, and multimedia. However, there are also several browsing problems, such as getting lost, consuming a great amount of time browsing, and lack of customized interactive features. To acquire a competitive advantage over the countless number of Web sites, it is critical to solve these browsing problems. The purpose of this paper is to systematically review all browsing problems and then propose a system architecture for intelligent browsing on the Web. In this architecture, we present five kinds of browsing agents: recommendation agent, new-contents agent, search agent, customized agent, and personal-status agent. In order to support these agents, a user analyzer is provided to maintain the user profile by analyzing log files and CGI parameters. A site monitor is provided to maintain the site database by monitoring all changes to the site. We also developed a prototype to demonstrate the feasibility of the proposed system architecture. Finally, due to the time limitations, a laboratory experiment was carried out to verify the only value of the customized agent. The value of the agent was confirmed. Collapse

Semantic filters: tornado search engine

Topics: website database system enterprise architecture recommender system search engine

Methods: design artifact experiment laboratory experiment computational algorithm ANOVA

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Found 4 articles

CrisMap: a Big Data Crisis Mapping System Based on Damage Detection and Geoparsing

Emergency Vocabulary

Enhancing Literature Review Methods - Evaluation of a Literature Search Approach based on Latent Semantic Indexing

A system architecture for intelligent browsing on the Web