What’s Happening in Semantic Web

Hitzler, Pascal

doi:10.1007/978-3-642-20514-9_2

Cited by 6 publications

References 31 publications

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PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods

Abeyruwan

Visser

Lemmon

et al. 2013

Uncertainty Reasoning for the Semantic Web II

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Abstract.Formalizing an ontology for a domain manually is well-known as a tedious and cumbersome process. It is constrained by the knowledge acquisition bottleneck. Therefore, researchers developed algorithms and systems that can help to automatize the process. Among them are systems that include text corpora for the acquisition. Our idea is also based on vast amount of text corpora. Here, we provide a novel unsupervised bottom-up ontology generation method. It is based on lexico-semantic structures and Bayesian reasoning to expedite the ontology generation process. We provide a quantitative and two qualitative results illustrating our approach using a high throughput screening assay corpus and two custom text corpora. This process could also provide evidence for domain experts to build ontologies based on top-down approaches.

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PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods

Abeyruwan

Visser

Lemmon

et al. 2013

Uncertainty Reasoning for the Semantic Web II

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Similarity reasoning in formal concept analysis: from one- to many-valued contexts

Formica

2018

Knowl Inf Syst

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A Representation of FS-Domains by Formal Concept Analysis

Wang

2021

Bull. Malays. Math. Sci. Soc.

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In this paper, we show the advantages of using Formal Concept Analysis in representing FS-domains. Based on the notion of contractive operators on formal contexts, we propose a new notion of FS-contexts. We prove that FS-formal concepts of FS-contexts are concrete representations of FS-domains, just as formal concepts of classical formal contexts are concrete representations of complete lattices. Moreover, we prove that the category of FS-contexts with G-formal connections is equivalent to that of FS-domains with Scott-continuous functions.

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What’s Happening in Semantic Web

Cited by 6 publications

References 31 publications

PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods

PrOntoLearn: Unsupervised Lexico-Semantic Ontology Generation Using Probabilistic Methods

Similarity reasoning in formal concept analysis: from one- to many-valued contexts

A Representation of FS-Domains by Formal Concept Analysis

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