empathi: An ontology for Emergency Managing and Planning about Hazard Crisis
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Abstract (arXiv)
In the domain of emergency management during hazard crises, having sufficient situational awareness information is critical. It requires capturing and integrating information from sources such as satellite images, local sensors and social media content generated by local people. A bold obstacle to capturing, representing and integrating such heterogeneous and diverse information is lack of a proper ontology which properly conceptualizes this domain, aggregates and unifies datasets. Thus, in this paper, we introduce empathi ontology which conceptualizes the core concepts concerning with the domain of emergency managing and planning of hazard crises. Although empathi has a coarse-grained view, it considers the necessary concepts and relations being essential in this domain. This ontology is available at https://w3id.org/empathi/.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Oct 2018.
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Citing papers per year: 2023: 2; 2024: 3; 2025: 1.
6 papers.
- 2023PORTRAIT: a hybrid aPproach tO cReate extractive ground-TRuth summAry for dIsaster evenTcited by 3
- 2023IKDSumm: Incorporating Key-phrases into BERT for extractive Disaster Tweet Summarizationcited by 3
- 2024TONE: A 3-Tiered ONtology for Emotion analysiscited by 1
- 2024ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training datacited by 1
- 2024ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarizationcited by 0
- 2025TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Actioncited by 0
- 2025TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action18 Sep 2025
- 2024ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization10 May 2024
- 2024ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data10 May 2024
- 2024TONE: A 3-Tiered ONtology for Emotion analysis11 Jan 2024
- 2023IKDSumm: Incorporating Key-phrases into BERT for extractive Disaster Tweet Summarization19 May 2023
- 2023PORTRAIT: a hybrid aPproach tO cReate extractive ground-TRuth summAry for dIsaster evenT19 May 2023