Ontology Learning

  title={Ontology Learning},
  author={Alexander Maedche and Steffen Staab},
  booktitle={Encyclopedia of Machine Learning and Data Mining},
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
This paper provides a discussion on existing ontology learning techniques and the state of the art of the field.
Ontology Construction from Text : Challenges and Trends
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
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.
An Overview on Ontology Learning Tasks
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.
Ontology Population and Enrichment: State of the Art
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.
Ontology-based Population and Enrichment of Researcher Profiles
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.
Ontology Acquisition for Automatic Building of Scientific Portals
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
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
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
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.


Formal Concept Analysis: Mathematical Foundations
From the Publisher: This is the first textbook on formal concept analysis. It gives a systematic presentation of the mathematical foundations and their relation to applications in computer science,
Web-scale taxonomy learning
An automatic and unsupervised methodology to obtain taxonomies of terms from the Web and represent retrieved web sites into a meaningful organization for a desired domain without previous knowledge is proposed.
A Protégé Plug-In for Ontology Extraction from Text Based on Linguistic Analysis
A plug-in for the widely used Protege ontology development tool that supports the interactive extraction and/or extension of ontologies from text and provides an environment for the integration of linguistic analysis in ontology engineering through the definition of mapping rules.
WordNet : an electronic lexical database
The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
SEXTANT: Exploring Unexplored Contexts for Semantic Extraction from Syntactic Analysis
A new system called SEXTANT is presented which uses robust syntactic parsers and the finer-grained contexts they produce to judge word similarity.
Automatic Acquisition of Hyponyms from Large Text Corpora
A set of lexico-syntactic patterns that are easily recognizable, that occur frequently and across text genre boundaries, and that indisputably indicate the lexical relation of interest are identified.
Evaluation of OntoLearn, a methodology for automatic population of domain ontologies
  • In P. Buitelaar, Ontology Learning 267 P. Cimiano, and B. Magnini, editors, Ontology Learning from Text: Methods, Applications and Evaluation, number 123 in Frontiers in Artificial Intelligence and Applications, pages 92–106. IOS Press,
  • 2005
The text-to-onto ontology extraction and maintenance system
A Framework for Ontology Learning and Data-driven Change Discovery
Text2Onto remains independent of a concrete target language while being able to translate the instantiated primitives into any (reasonably expressive) knowledge representation formalism, and allows a user to trace the evolution of the ontology with respect to the changes in the underlying corpus.
GATE, a General Architecture for Text Engineering
GATE lies at the intersection of human language computation and software engineering, and constitutes aninfrastructural system supporting research and development of languageprocessing software.