2013
DOI: 10.1002/widm.1097
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Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures

Abstract: structured, representations of knowledge such as lexicons, taxonomies, and ontologies have proven to be powerful resources not only for the systematization of knowledge in general, but to support practical technologies of document organization, information retrieval, natural language understanding, and question-answering systems. These resources are extremely time consuming for people to create and maintain, yet demand for them is growing, particularly in specialized areas ranging from legacy documents of larg… Show more

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Cited by 18 publications
(10 citation statements)
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References 73 publications
(63 reference statements)
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“…Ontologies are formal representations of concepts, ideas or objects, pertaining to a specific domain, as well as all the relationships between those concepts [28]. The ultimate goal of ontologies is to facilitate automated reasoning and, by doing that, provide a deeper understanding of the domain.…”
Section: Controlled Vocabularymentioning
confidence: 99%
“…Ontologies are formal representations of concepts, ideas or objects, pertaining to a specific domain, as well as all the relationships between those concepts [28]. The ultimate goal of ontologies is to facilitate automated reasoning and, by doing that, provide a deeper understanding of the domain.…”
Section: Controlled Vocabularymentioning
confidence: 99%
“…Taxonomy is one of the most used approaches for cybercrime subject representation. It allows term hierarchy representation and is suitable for indexing content, exploratory search and browsing [4].…”
Section: Visualization Forms Of Phishing Attack Taxonomiesmentioning
confidence: 99%
“…In this case, one wants to check that the degree of alignment between BP description and model, e.g., to see if relevant entities mentioned in the model are also mentioned in the text, and vice-versa. To address this goal, research should look at terminology extraction techniques (Medelyan et al, 2013). Extracting the relevant terms of the BP descriptions and comparing them with the labels in the BPMN models can provide a lightweight strategy to check existing relations between text and model.…”
Section: Modelling and Consistencymentioning
confidence: 99%