TY - GEN
T1 - Putting instance matching to the test
T2 - 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014
AU - Homoceanu, S.
AU - Kalo, J.-C.
AU - Balke, W.-T.
PY - 2014
Y1 - 2014
N2 - To extend the scope of retrieval and reasoning spanning several linked data stores, it is necessary to find out whether information in different collections actually points to the same real world object. Thus, data stores are interlinked through owl:sameAs relations. Unfortunately, this cross-linkage is not as extensive as one would hope. To remedy this problem, instance matching systems automatically discovering owl:sameAs links, have been proposed recently. According to results on existing benchmarks, such systems seem to have reached a convincing level of maturity. But the evaluations miss out on some important characteristics encountered in real-world data. To establish if instance matching systems are really ready for real-world data interlinking, we analyzed the main challenges of instance matching. We built a representative data set that emphasizes these challenges and evaluated the global quality of instance matching systems on the example of a top performer from last year's Instance Matching track organized by the Ontology Alignment Evaluation Initiative (OAEI). © 2014 Springer International Publishing.
AB - To extend the scope of retrieval and reasoning spanning several linked data stores, it is necessary to find out whether information in different collections actually points to the same real world object. Thus, data stores are interlinked through owl:sameAs relations. Unfortunately, this cross-linkage is not as extensive as one would hope. To remedy this problem, instance matching systems automatically discovering owl:sameAs links, have been proposed recently. According to results on existing benchmarks, such systems seem to have reached a convincing level of maturity. But the evaluations miss out on some important characteristics encountered in real-world data. To establish if instance matching systems are really ready for real-world data interlinking, we analyzed the main challenges of instance matching. We built a representative data set that emphasizes these challenges and evaluated the global quality of instance matching systems on the example of a top performer from last year's Instance Matching track organized by the Ontology Alignment Evaluation Initiative (OAEI). © 2014 Springer International Publishing.
U2 - 10.1007/978-3-319-08326-1_28
DO - 10.1007/978-3-319-08326-1_28
M3 - Conference contribution
SN - 9783319083254
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 274
EP - 284
BT - Foundations of Intelligent Systems - 21st International Symposium, ISMIS 2014, Proceedings
PB - Springer Verlag
Y2 - 25 June 2014 through 27 June 2014
ER -