ACM SIGKDD Explorations Newsletter
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Supporting ontology-based semantic matching in RDBMS
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Combining human and computation intelligence: the case of data interlinking tools
International Journal of Metadata, Semantics and Ontologies
Instance-Based matching of large ontologies using locality-sensitive hashing
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Combining human and computation intelligence: the case of data interlinking tools
International Journal of Metadata, Semantics and Ontologies
Discovering linkage points over web data
Proceedings of the VLDB Endowment
Interlinking educational data: an experiment with GLOBE resources
Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality
Publishing bibliographic data on the Semantic Web using BibBase
Semantic Web - Linked Data for science and education
| Hi-index | 0.00 |
We present Linkage Query Writer (LinQuer), a system for generating SQL queries for semantic link discovery over relational data. The LinQuer framework consists of (a) LinQL, a language for specification of linkage requirements; (b) a web interface and an API for translating LinQL queries to standard SQL queries; (c) an interface that assists users in writing LinQL queries. We discuss the challenges involved in the design and implementation of a declarative and easy to use framework for discovering links between different data items in a single data source or across different data sources. We demonstrate different steps of the linkage requirements specification and discovery process in several real world scenarios and show how the LinQuer system can be used to create high-quality linked data sources.