Perspectives On Ontology Learning

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Jens Lehmann and Johanna Völker (Eds.)

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Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-art in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.

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Foreword by Philipp Cimiano


Part I: Foundations

A Description Logic Primer

An Incomplete and Simplifying Introduction to Linked Data

Introducing Machine Learning

Natural Language Processing

Part II: Logical Learning

Concept Learning

Learning Onto-Relational Rules with Inductive Logic Programming

Part III: Lexical Learning

Learning Domain Ontologies by Corpus-Driven FrameNet Specialization

Information Extraction for Ontology Learning

Empirically Grounded Emergent Knowledge

Part IV: Learning from Web Data

Capturing Emergent Semantics from Social Tagging Systems

Semantic Enrichment of Places: From Public Places Descriptions to Linked Data

Ontology Learning from Databases: Some Efficient Methods to Discover Semantic Patterns in Data

Part V: Methodology and User Interaction

Learning Ontologies via Games with a Purpose

Formal Concept Analysis Methods for Interactive Ontology Learning

Ontology Design Patterns in Ontology Learning

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