SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
ACM Computing Surveys (CSUR)
Cross ontology query answering on the semantic web: an initial evaluation
Proceedings of the fifth international conference on Knowledge capture
Comparative evaluation of entity resolution approaches with FEVER
Proceedings of the VLDB Endowment
Discovering and Maintaining Links on the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Enterprise data classification using semantic web technologies
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
OWL reasoning with WebPIE: calculating the closure of 100 billion triples
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
IEEE Transactions on Information Theory
DBpedia SPARQL benchmark: performance assessment with real queries on real data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Assessing linked data mappings using network measures
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
EAGLE: efficient active learning of link specifications using genetic programming
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
An effective rule miner for instance matching in a web of data
Proceedings of the 21st ACM international conference on Information and knowledge management
LODStats --- an extensible framework for high-performance dataset analytics
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Link discovery with guaranteed reduction ratio in affine spaces with minkowski measures
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
A machine learning approach for instance matching based on similarity metrics
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Managing the life-cycle of linked data with the LOD2 stack
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
DEQA: deep web extraction for question answering
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part II
Data Linking for the Semantic Web
International Journal on Semantic Web & Information Systems
Discovering missing links in large-scale linked data
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
A statistical and schema independent approach to identify equivalent properties on linked data
Proceedings of the 9th International Conference on Semantic Systems
Introduction to linked data and its lifecycle on the web
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
Interlinking educational data: an experiment with GLOBE resources
Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality
Active learning of expressive linkage rules using genetic programming
Web Semantics: Science, Services and Agents on the World Wide Web
An automatic key discovery approach for data linking
Web Semantics: Science, Services and Agents on the World Wide Web
Generating SPARQL queries using templates
Web Intelligence and Agent Systems
LinkedGeoData: A core for a web of spatial open data
Semantic Web - On linked spatiotemporal data and geo-ontologies
Hi-index | 0.00 |
The Linked Data paradigm has evolved into a powerful enabler for the transition from the document-oriented Web into the Semantic Web. While the amount of data published as Linked Data grows steadily and has surpassed 25 billion triples, less than 5% of these triples are links between knowledge bases. Link discovery frameworks provide the functionality necessary to discover missing links between knowledge bases. Yet, this task requires a significant amount of time, especially when it is carried out on large data sets. This paper presents and evaluates LIMES, a novel time-efficient approach for link discovery in metric spaces. Our approach utilizes the mathematical characteristics of metric spaces during the mapping process to filter out a large number of those instance pairs that do not suffice the mapping conditions. We present the mathematical foundation and the core algorithms employed in LIMES. We evaluate our algorithms with synthetic data to elucidate their behavior on small and large data sets with different configurations and compare the runtime of LIMES with another state-of-the-art link discovery tool.