Propagation Strategies for Building Temporal Ontologies

Hasanuzzaman, Mohammed; Dias, Gaël; Ferrari, Stéphane; Mathet, Yann

doi:10.3115/v1/e14-4002

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…Uma expressão de tempo dada por "dois dias atrás" deve ser normalizada para "2020-03-12", caso o dia corrente seja "2020-03-14", por exemplo. Outras expressões, como "antes", "depois" e "durante", também são válidas (HASANUZZAMAN et al, 2014).…”

Section: Ontologias Temporaisunclassified

Time Analysis Model in Semantic Context of Emergency Management

Marttos Cáceres Pereira,

Castro Botega

2020

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In the context of emergency management, where information comes from heterogeneous, complex and dynamic sources, decision making is required to be assertive and within a timely interval of time. Time has great relevance, being fundamental in the domain of this context, because it is creating a timeline, that is to say during it, the perception and comprehension of all the characteristics of a situation becomes viable. The quality of information becomes indispensable in the context of emergency management, mainly by dynamic and complex factors. This work aims to improve the informational processes of information retrieval through the creation of a model of temporal analysis in the semantic context. The nature of this work is qualitative, of theoretical-applied purpose and exploratory, and its methodology involving fire emergency situations, in which it was possible to evaluate the behavior of information quality and infer new temporal knowledge that may serve as inputs for making more assertive decisions.

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Section: Ontologias Temporaisunclassified

Time Analysis Model in Semantic Context of Emergency Management

Marttos Cáceres Pereira,

Castro Botega

2020

Cionline

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“…In the project, which was conducted by Hasanuzzaman et al (2014), a method for constructing a Tempo-wordnet was suggested. According to this method, the WordNet was augmented with temporal information by following a two-step process: in the first step, synsets of the WordNet are classified as atemporal or temporal.…”

Section: Related Workmentioning

confidence: 99%

Automatic Wordnet Development for Low-Resource Languages using Cross-Lingual WSD

Taghizadeh

Faili

2016

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Wordnets are an effective resource for natural language processing and information retrieval, especially for semantic processing and meaning related tasks. So far, wordnets have been constructed for many languages. However, the automatic development of wordnets for low-resource languages has not been well studied. In this paper, an ExpectationMaximization algorithm is used to create high quality and large scale wordnets for poorresource languages. The proposed method benefits from possessing cross-lingual word sense disambiguation and develops a wordnet by only using a bi-lingual dictionary and a monolingual corpus. The proposed method has been executed with Persian language and the resulting wordnet has been evaluated through several experiments. The results show that the induced wordnet has a precision score of 90% and a recall score of 35%.

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