empathi: An ontology for Emergency Managing and Planning about Hazard Crisis

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/

Designing an Ontology to Describe Ecological Cycling Routes within the Province of Tungurahua

Tourism, a significant industry worldwide, has allowed for economic, social, and cultural development in rural areas because of all the advantages it offers to tourists. Ecuador is a country that presents a wide range of alternatives in the tourist field allowing a massive tourist influx to many of its destinations such as indigenous communities, natural reserves, and tourist, ecological, and volcanic routes. Most importantly, Ecuador encourages the conservation of the diversity resulting from such influx. The objective of this research is to design an ontology which facilitates a description of the bicycle tourist routes in the province of Tungurahua, and specifically in the city of Ambato. Apart from route descriptions, this ontology gives information about the flora and fauna and places of interest such as inns, hotels, and restaurants that can be found along this route. This ontology was developed based on the application and enforcement of semantic web technologies. That being said, all the described information is attached to an RDF vocabulary and it can be accessed using SPARQL. Therefore, information that is semantically described in an organized and standardized manner is available in order to allow for interoperability with other existing data sources. As for the development of the ontology, the methodology used was an open code software known as “protégé”. The OWL (Ontology Web Language) was also used as marked language and RDFS for the description of the employed vocabulary

An Ontology-Based Approach to Social Media Mining for Crisis Management

We describe an existing multilingual information extraction system that automatically detects event information on disasters, conflicts and health threats in near-real time from a continuous flow of on-line news articles.We illustrate a number of strategies for customizing the system to process social media texts such as Twitter messages, which are currently seen as a crucial source of information for crisis management applications. On one hand, we explore the mapping of our domain model with standard ontologies in the field. On the other hand, we show how the language resources of such a system can be built, starting from an existing domain ontology and a text corpus, by deploying a semisupervised method for ontology lexicalization. As a result, event detection is turned up into an ontology population process, where crowdsourced content is automatically augmented with a shared structured representation, in accordance with the Linked Open Data principles.JRC.G.2-Global security and crisis managemen