C4.5: programs for machine learning
C4.5: programs for machine learning
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
A Formal Ontology of Properties
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
The Alternating Decision Tree Learning Algorithm
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
RelExt: a tool for relation extraction from text in ontology extension
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Automatic evaluation of ontologies (AEON)
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
ONTOCOM: a cost estimation model for ontology engineering
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Text2Onto: a framework for ontology learning and data-driven change discovery
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Debugging and semantic clarification by pinpointing
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Pattern ranking for semi-automatic ontology construction
Proceedings of the 2008 ACM symposium on Applied computing
Acquisition of OWL DL Axioms from Lexical Resources
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Applying Logical Constraints to Ontology Matching
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Learning Disjointness for Debugging Mappings between Lightweight Ontologies
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Using Semantic Distances for Reasoning with Inconsistent Ontologies
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Ontology Learning and Reasoning -- Dealing with Uncertainty and Inconsistency
Uncertainty Reasoning for the Semantic Web I
A Distance-Based Operator to Revising Ontologies in DL $\mathcal{SHOQ}$
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
CORAAL --- Towards Deep Exploitation of Textual Resources in Life Sciences
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
OntoCase-Automatic Ontology Enrichment Based on Ontology Design Patterns
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Towards Lightweight and Robust Large Scale Emergent Knowledge Processing
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Invited Paper: CORAAL-Dive into publications, bathe in the knowledge
Web Semantics: Science, Services and Agents on the World Wide Web
Discovery of relation axioms from the web
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Biomedical publication knowledge acquisition, processing and dissemination with CORAAL
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II
ORE - a tool for repairing and enriching knowledge bases
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Creating knowledge out of interlinked data: making the web a data washing machine
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Enriching ontologies by learned negation: or how to teach ontologies vegetarianism
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Introduction to linked data and its lifecycle on the web
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Inductive learning of disjointness axioms
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
Learning relation axioms from text: An automatic Web-based approach
Expert Systems with Applications: An International Journal
Extraction of genic interactions with the recursive logical theory of an ontology
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Advocatus diaboli --- exploratory enrichment of ontologies with negative constraints
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Universal OWL axiom enrichment for large knowledge bases
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Concept Induction in Description Logics Using Information-Theoretic Heuristics
International Journal on Semantic Web & Information Systems
Knowledge discovery on incompatibility of medical concepts
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Introduction to linked data and its lifecycle on the web
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
Hi-index | 0.00 |
An increasing number of applications benefits from light-weight ontologies, or to put it differently "a little semantics goes a long way". However, our experience indicates that more expressiveness can offer significant advantages. Introducing disjointness axioms, for instance, greatly facilitates consistency checking and the automatic evaluation of ontologies. In an extensive user study we discovered that proper modeling of disjointness is a difficult and very time-consuming task. We therefore developed an approach to automatically enrich learned or manually engineered ontologies with disjointness axioms. This approach relies on several methods for obtaining syntactic and semantic evidence from different sources which we believe to provide a solid base for learning disjointness. After thoroughly evaluating the implementation of our approach we think that in future ontology engineering environments the automatic discovery of disjointness axioms may help to increase the richness, quality and usefulness of any given ontology.