A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Towards text knowledge engineering
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Information extraction as a stepping stone toward story understanding
Understanding language understanding
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Bootstrapping an ontology-based information extraction system
Intelligent exploration of the web
Managing multiple and distributed ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Towards the self-annotating web
Proceedings of the 13th international conference on World Wide Web
Toward semantic understanding: an approach based on information extraction ontologies
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
Gimme' the context: context-driven automatic semantic annotation with C-PANKOW
WWW '05 Proceedings of the 14th international conference on World Wide Web
ACM SIGMOD Record
Classifying imbalanced data using a bagging ensemble variation (BEV)
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Hierarchical, perceptron-like learning for ontology-based information extraction
Proceedings of the 16th international conference on World Wide Web
Information extraction from Wikipedia: moving down the long tail
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Ontology-based information extraction for business intelligence
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Ontology-based information extraction: An introduction and a survey of current approaches
Journal of Information Science
Components for information extraction: ontology-based information extractors and generic platforms
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Querysem: deriving query semantics based on multiple ontologies
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Exploring techniques for rationale extraction from existing documents
Proceedings of the 34th International Conference on Software Engineering
| Hi-index | 0.00 |
Ontology-Based Information Extraction (OBIE) has recently emerged as a subfield of Information Extraction (IE). Here, ontologies - which provide formal and explicit specifications of conceptualizations - play a crucial role in the information extraction process. Several OBIE systems have been implemented previously but all of them use a single ontology although multiple ontologies have been designed for many domains. We have studied the theoretical basis for using multiple ontologies in information extraction and have developed information extraction systems that use them. These systems investigate the two major scenarios for having multiple ontologies for the same domain: specializing in sub-domains and providing different perspectives. The domain of universities has been used for the former scenario through a corpus collected from university websites. For the latter, the domain of terrorist attacks and a corpus used by a previous Message Understanding Conference (MUC) have been used. The results from these two case studies indicate that using multiple ontologies in information extraction has led to a clear improvement in performance measures.