Semantic integration of semistructured and structured data sources
ACM SIGMOD Record
Extracting Knowledge from Diagnostic Databases
IEEE Expert: Intelligent Systems and Their Applications
The disambiguation of nominalizations
Computational Linguistics
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
Comparison of Schema Matching Evaluations
Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
Synthesizing an Integrated Ontology
IEEE Internet Computing
Abbreviation Expansion in Schema Matching and Web Integration
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Schema and ontology matching with COMA++
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Ontology Matching
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
AMAP: automatically mining abbreviation expansions in programs to enhance software maintenance tools
Proceedings of the 2008 international working conference on Mining software repositories
Learning noun-modifier semantic relations with corpus-based and WordNet-based features
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
The knowledge required to interpret noun compounds
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Interoperability by design using the StdTrip tool: an a priori approach
Proceedings of the 6th International Conference on Semantic Systems
Knowledge-based sense disambiguation (almost) for all structures
Information Systems
Using semantic techniques to access web data
Information Systems
Automatic lexical annotation applied to the SCARLET ontology matcher
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
W-Ray: a strategy to publish deep web geographic data
ER'10 Proceedings of the 2010 international conference on Advances in conceptual modeling: applications and challenges
A semantic approach to ETL technologies
Data & Knowledge Engineering
A framework for XML schema integration via conceptual model
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
When conceptual model meets grammar: A dual approach to XML data modeling
Data & Knowledge Engineering
Structured data clouding across multiple webs
Information Systems
Thematic clustering and exploration of linked data
Search Computing
Schema decryption for large extract-transform-load systems
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
| Hi-index | 0.00 |
Schema matching is the problem of finding relationships among concepts across heterogeneous data sources (heterogeneous in format and in structure). Starting from the "hidden meaning" associated to schema labels (i.e. class/attribute names) it is possible to discover relationships among the elements of different schemata. Lexical annotation (i.e. annotation w.r.t. a thesaurus/lexical resource) helps in associating a "meaning" to schema labels. However, accuracy of semi-automatic lexical annotation methods on real-world schemata suffers from the abundance of non-dictionary words such as compound nouns and word abbreviations. In this work, we address this problem by proposing a method to perform schema labels normalization which increases the number of comparable labels. Unlike other solutions, the method semi-automatically expands abbreviations and annotates compound terms, without a minimal manual effort. We empirically prove that our normalization method helps in the identification of similarities among schema elements of different data sources, thus improving schema matching accuracy.