Ontology Learning

@inproceedings{Maedche2004OntologyL,
  title={Ontology Learning},
  author={Alexander Maedche and Steffen Staab},
  booktitle={Encyclopedia of Machine Learning and Data Mining},
  year={2004}
}
Ontology learning techniques serve the purpose of supporting an ontology engineer in the task of creating and maintaining an ontology. In this chapter, we present a comprehensive and concise introduction to the field of ontology learning. We present a generic architecture for ontology learning systems and discuss its main components. In addition, we introduce the main problems and challenges addressed in the field and give an overview of the most important methods applied. We conclude with a… 
A Survey of Ontology Learning Procedures
TLDR
This paper provides a discussion on existing ontology learning techniques and the state of the art of the field.
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TLDR
A brief overview of ontology learning approaches is given and some of ontological extraction systems and tools are reviewed followed by a summarizing comparison of them.
Visual support for ontology learning: an experience report
  • M. Sabou
  • Computer Science, Biology
    Ninth International Conference on Information Visualisation (IV'05)
  • 2005
TLDR
The hypothesis is that visual techniques can be used to aid understanding of ontology construction and a set of such complex situations are presented and the visual solutions developed to support them are described.
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TLDR
A general review of work related to types and tasks involving OL, which considers fundamental types of Ontology Learning, schema extraction, creation and population, besides of evaluation methods and tools.
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This chapter presents a survey of the most relevant methods, techniques and tools used for the task of ontology learning, explaining how BOEMIE addresses problems observed in existing systems and contributes to issues that are not frequently considered by existing approaches.
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TLDR
This paper investigates the use of ontologies as the main solution approach to support the representation of researcher profiles in a given academic environment and describes the ontology model design, the automatic ontology population processes, and the discovery and enrichment processes of interesting semantic relations between researcher profiles.
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The main principles of a new ontology acquisition framework applied for semi-automatic generation of scientific portals and its implications for Semantic Web vision are presented.
Extracting a domain ontology from linguistic resource based on relatedness measurements
TLDR
A new method to measure relatedness (rather than similarity between concepts) is introduced, which overcomes some of the traditional problems associated with similar concepts being far apart in the hierarchy.
Analysis and Evaluation of Techniques for the Extraction of Classes in the Ontology Learning Process
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This work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.
Semi-automatic Integration of Learned Ontologies into a Collaborative Framework
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A novel ontology lifecycle scenario that explicitly takes the dynamics and data-intensiveness of real world applications into account is presented, which bases mainly on automatic negotiation of agreed alignments, inconsistency resolution, an ontology versioning system and support of natural language generation tools.

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