Ontological semantics, formal ontology, and ambiguity
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Ontology Matching
Evaluation of Similarity Measures for Ontology Mapping
New Frontiers in Artificial Intelligence
Towards Linguistically Grounded Ontologies
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
Indirect Alignment between Multilingual Ontologies: A Case Study of Korean and Swedish Ontologies
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Cross-Lingual Ontology Mapping --- An Investigation of the Impact of Machine Translation
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
Matching multi-lingual subject vocabularies
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
One size does not fit all: customizing ontology alignment using user feedback
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A configurable translation-based cross-lingual ontology mapping system to adjust mapping outcomes
Web Semantics: Science, Services and Agents on the World Wide Web
Boosting cross-lingual knowledge linking via concept annotation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Hi-index | 0.00 |
Translation techniques are often employed by cross-lingual ontology mapping (CLOM) approaches to turn a cross-lingual mapping problem into a monolingual mapping problem which can then be solved by state of the art monolingual ontology matching tools. However in the process of doing so, noisy translations can compromise the quality of the matches generated by the subsequent monolingual matching techniques. In this paper, a novel approach to improve the quality of cross-lingual ontology mapping is presented and evaluated. The proposed approach adopts the pseudo feedback technique that is similar to the well understood relevance feedback mechanism used in the field of information retrieval. It is shown through the evaluation that pseudo feedback can improve the matching quality in a CLOM scenario.