Learning expressive ontologies / Johanna Völker.

Format:

Book

Author/Creator:

Völker, Johanna.

Series:

Studies on the Semantic Webb ; v. 2.

Studies on the Semantic Web, 1868-1158 ; Volume 002

Language:

English

Subjects (All):

Ontologies (Information retrieval).

Semantic Web.

Physical Description:

1 online resource (274 p.)

Edition:

1st ed.

Place of Publication:

Heidelberg, Germany : AKA : IOS Press, 2009.

Language Note:

English

Summary:

This publication advances the state-of-the-art in ontology learning by presenting a set of novel approaches to the semi-automatic acquisition, refinement and evaluation of logically complex axiomatizations. It has been motivated by the fact that the realization of the semantic web envisioned by Tim Berners-Lee is still hampered by the lack of ontological resources, while at the same time more and more applications of semantic technologies emerge from fast-growing areas such as e-business or life sciences. Such knowledge-intensive applications, requiring large scale reasoning over complex domai

Contents:

Title Page; Abstract; Contents; Introduction; Research Questions and Contributions; Research Questions; Contributions; Reader's Guide; Foundations; Overview; Ontologies; Web Ontology Language; OWL Reasoning; Ontology Evaluation; Methodologies; OntoClean; Meta-Properties; Constraints; Ontology Learning; Perspectives on Ontology Learning; Semantic Traditions; Lexical Ontology Learning; Logical Ontology Learning; Requirements Analysis; Basic Methods; Natural Language Processing; Language, Syntax and Semantics; Syntactic Analysis; Lexical Semantics; WordNet; Machine Learning; Classification

Inductive Logic ProgrammingFormal Concept Analysis; Relational Exploration; Role Exploration; Methods for Learning Expressive Ontologies; Learning Class Descriptions; Introduction; Acquisition of Class Descriptions; Case Study and Examples; Technical Discussion; Logical Refinement of Class Descriptions; Integrated Architecture; Related Work; Conclusion; Outlook; Learning Property Restrictions; Introduction; Ontology Refinement Process; Acquisition of Property Restrictions; Example Scenario; RELExO - Refinement of Domain and Range; RoLExO - Acquisition of Property Restrictions; Related Work

ConclusionOutlook; Learning Disjointness Axioms; Introduction; Features for Learning Disjointness; Logical Features; Lexical Features; Additional Background Knowledge; Evaluation Scenario; PROTON Ontology; Evaluation Setting: Manual Taggings; Analysis of Human Annotations; Discussion; Results and Analysis; Experimental Settings; Results; Feature Ranking; Related Work; Conclusion; Outlook; Formal Consistency; Introduction; Tagging Approach; Architecture and Implementation; Lexico-syntactic Patterns; Discussion; Evaluation of Automatic Tagging; Acquisition of Gold Standard

Evaluation Setting and ResultsConstraint Checking; Implementation; Analysis and Examples; Related Work; Conclusion; Outlook; Summary; Applications and Evaluation; Handling Logical Inconsistency; Introduction; Logical Inconsistency; Uncertainty; Computation of Confidence Values; Resolving Logical Inconsistencies in Learned Ontologies; Consistent Ontology Evolution; Inconsistency Diagnosis and Repair; Experiments; Consistent Ontology Evolution; Debugging Learned Ontologies; Related Work; Conclusion; Outlook; Ontology Alignment; Introduction; Debugging Mappings; Evaluation Scenario

Evaluation of Learned DisjointnessSetting; Results; Evaluation of Mapping Debugging; Setting; Results; Related Work; Conclusion; Outlook; Towards Semi-automatic Ontology Engineering; Introduction; Ontology Learning Frameworks; NeOn Toolkit; The NeOn Project; Ontology Learning Plugins; Conclusion; Outlook; Summary; Conclusion; Summary; Outlook; Conclusion; Bibliography

Notes:

Description based upon print version of record.

Includes bibliographical references.

Description based on print version record.

ISBN:

1-61499-336-X

OCLC:

867928691