Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Layout Recognition of Multi-Kinds of Table-Form Documents
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Processing for Automatic Knowledge Acquisition
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 27th International Conference on Very Large Data Bases
Handbook on Ontologies (International Handbooks on Information Systems)
Handbook on Ontologies (International Handbooks on Information Systems)
Understanding Web query interfaces: best-effort parsing with hidden syntax
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
IEEE Transactions on Knowledge and Data Engineering
Ontology Matching
Text processing through Web services
Bioinformatics
Medical Data Integration and the Semantic Annotation of Medical Protocols
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
Learning to extract form labels
Proceedings of the VLDB Endowment
OntoPath: a language for retrieving ontology fragments
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Safe and economic re-use of ontologies: a logic-based methodology and tool support
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Multidimensional integrated ontologies: a framework for designing semantic data warehouses
Journal on Data Semantics XIII
Exploiting semantic structure for mapping user-specified form terms to SNOMED CT concepts
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Hi-index | 0.00 |
This paper presents a method for semi-automatically building tailored application ontologies from a set of data acquisition forms. Such ontologies are intended to facilitate the integration of very heterogeneous data generation processes and their linkage to well-known external resources. The resulting tool is being applied to the medical domain, where a wide variety of knowledge and linguistic resources are available. The proposed method consists of first inferring the implicit structure of the forms and then semantically annotating all their textual elements. Finally, by applying a set of patterns over the form inferred structure, the tool generates the ontology axioms that describe it. Our initial results demonstrate that the approach can perform effectively.