Bridging the data integration gap: from theory to implementation
ACM SIGSOFT Software Engineering Notes
Automating XML documents transformations: a conceptual modelling based approach
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
Mining structures for semantics
ACM SIGKDD Explorations Newsletter
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Meaningful labeling of integrated query interfaces
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
eTuner: tuning schema matching software using synthetic scenarios
The VLDB Journal — The International Journal on Very Large Data Bases
Matching large schemas: Approaches and evaluation
Information Systems
An adaptive approach to schema classification for data warehouse modeling
Journal of Computer Science and Technology
Quickmig: automatic schema matching for data migration projects
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A model for matching and integrating heterogeneous relational biomedical databases schemas
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Integrating schemas of heterogeneous relational databases through schema matching
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
The ICoP Framework: identification of correspondences between process models
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Bridging the data integration gap: from theory to implementation
ACM SIGSOFT Software Engineering Notes
Reuse-oriented mapping discovery for meta-querier customization
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Perceived consistency between process models
Information Systems
Comparing XML files with a DOGMA ontology to generate Ω-RIDL annotations
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
A large scale taxonomy mapping evaluation
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Clustering-based schema matching of web data for constructing digital library
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
A general approach to the generation of conceptual model transformations
CAiSE'05 Proceedings of the 17th international conference on Advanced Information Systems Engineering
Matching schemas for geographical information systems using semantic information
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
Reducing the cost of validating mapping compositions by exploiting semantic relationships
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
A matching algorithm for electronic data interchange
TES'05 Proceedings of the 6th international conference on Technologies for E-Services
Making sense of top-k matchings: a unified match graph for schema matching
Proceedings of the Ninth International Workshop on Information Integration on the Web
| Hi-index | 0.00 |
Automating schema matching is challenging. Previousapproaches (e.g. [9, 5]) to automating schema matchingfocus on computing direct element matches between twoschemas. Schemas, however, rarely match directly. Thus, tocomplete the task of schema matching, we must also compute indirect element matches. In this paper, we presenta framework for generating direct as well as many indirect element matches between a source schema and a targetschema. Recognizing expected data values associated withschema elements and applying schema-structure heuristicsare the key ideas to computing indirect matches. Experiments we have conducted over several real-world application domains show encouraging results, yielding over 90%precision and recall for both direct and indirect elementmatches.