Ontology supported system for searching evidence of wild animals trafficking in social network posts

Carrasco, Rafael da Silva; Oliveira, Alcione de Paiva; Filho, Jugurta Lisboa; Moreira, Alexandra

doi:10.5335/rbca.2014.3140

Cited by 4 publications

(3 citation statements)

References 13 publications

(8 reference statements)

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“…Como forma para auxiliar esta busca por criminosos e comércio ilegal de animais silvestres, Carrasco et al (2014) descreve o desenvolvimento de um sistema de análise de linguagem em redes sociais, para busca de evidências de tráfico de animais silvestres que auxiliarão no combate a estes crimes. Posteriormente, este sistema, aliado ao monitoramento constante dos grupos de compra, venda e troca de aves, pode facilitar o combate a este crime ambiental.…”

Section: Resultsunclassified

Comércio ilegal de aves nativas em plataforma social virtual: Subsídios para a perícia ambiental

Freitas¹,

Gadotti²,

Beltrame³

et al. 2021

RBES

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A retirada de animais da natureza e o tráfico de animais oferecem uma grande ameaça a biodiversidade. O livre comércio em plataformas sociais está ocupando um lugar notório na sociedade e para isso, nota-se a necessidade de profissionais com conhecimentos técnico-científicos para auxiliar no combate ao tráfico de animais e nos processos judiciais. O objetivo deste estudo foi reconhecer o comércio ilegal de aves nativas do Rio Grande do Sul em uma plataforma social, e avaliar seu uso como ferramenta para perícias ambientais. Foram monitorados, durante um mês, três grupos de comércio de aves na plataforma Facebook®. Os dados obtidos foram: espécie nativa ou exótica do Rio Grande do Sul, valor de venda, presença de anilha e espécies mais anunciadas. Contabilizou-se 338 anúncios, comercializando 36 espécies. Os valores variaram de R$ 25,00 a R$ 1.500,00 o espécime. Quatro espécies apresentam algum grau de ameaça de extinção. Seis espécies representaram 70% dos anúncios. Para os peritos ambientais e investigadores criminais, esta modalidade de comércio proporciona uma ferramenta válida para atuarem de forma mais acentuada e eficaz. Estes locais além de expor os criminosos, podem fornecer informações valiosas para o combate ao tráfico de animais silvestres.

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Section: Resultsunclassified

Comércio ilegal de aves nativas em plataforma social virtual: Subsídios para a perícia ambiental

Freitas¹,

Gadotti²,

Beltrame³

et al. 2021

RBES

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“…The use of ontology in the social media has been applied widely to infer semantic data in a broad range of applications. [24] presented an ontology-based, multi-agent solution for the wild animal traffic problem in Brazil. [25] and [26] both applied ontology to build applications in crisis situations.…”

Section: Social Media Services Incorporating Semantic Analysismentioning

confidence: 99%

Semantic Data Discovery from Social Big Data

Abu-Salih

Wongthongtham

Zhu

et al. 2021

Social Big Data Analytics

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Due to the large volume of data and information generated by a multitude of social data sources, it is a huge challenge to manage and extract useful knowledge, especially given the different forms of data, streaming data and uncertainty and ambiguity of data. Hence, there are still challenges in this area of BD analytics research to capture, store, process, visualise, query, and manipulate datasets to derive meaningful information that is specific to an application's domain. This chapter attempts to address this problem by studying Semantic Analytics and domain knowledge modelling, and to what extent these technologies can be utilised toward better understanding to the social textual contents. In particular, the chapter gives an overview of semantic analysis and domain ontology followed by shedding light on domain knowledge modelling, inference, semantic storage, and publicly available semantic tools and APIs. Also, the theoretical notion of Knowledge Graphs is reported and their interlinking with SBD is discussed. The utility of the semantic analytics is demonstrated and evaluated through a case study on social data in the context of politics domain.

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“…The use of ontology in the social media has been applied widely to infer semantic data in a broad range of applications. Carrasco et al (Carrasco, Oliveira, Lisboa Filho, & Moreira, 2014) presented an ontology-based, multi-agent solution for the wild animal traffic problem in Brazil. Iwanaga et al (Iwanaga et al, 2011) and Ghahremanlou et al (Ghahremanlou, Sherchan, & Thom, 2014) both applied ontology to build applications in crisis situations.…”

Section: Semantics Analysismentioning

confidence: 99%

Ontology-based approach for identifying the credibility domain in social Big Data

Wongthongtham

Abu-Salih

2018

Journal of Organizational Computing and Electronic Commerce

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The challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academics and industry. To address this challenge, semantic analysis of textual data is focused on in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyse the social data at two levels i.e. the entity level and the domain level. We have chosen Twitter as a social channel for the purpose of concept proof. Ontologies are used to capture domain knowledge and to enrich the semantics of tweets, by providing specific conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.

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Ontology supported system for searching evidence of wild animals trafficking in social network posts

Cited by 4 publications

References 13 publications

Comércio ilegal de aves nativas em plataforma social virtual: Subsídios para a perícia ambiental

Comércio ilegal de aves nativas em plataforma social virtual: Subsídios para a perícia ambiental

Semantic Data Discovery from Social Big Data

Ontology-based approach for identifying the credibility domain in social Big Data

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