Evans' 1968 ANALOGY system was the first computer model of analogy. This paper demonstrates that the structure mapping model of analogy, when combined with high-level visual processing and qualitative representations, can solve the same kinds of geometric analogy problems as were solved by ANALOGY. Importantly, the bulk of the computations are not particular to the model of this task but are ge...

We present a model of similarity-based retrieval that attempts to capture three seemingly contradictory psychological phenomena: (0) structural commonalities are weighed more heavily thon surface commonalities in similarity judgments for items In working memory; (b) in retrieval. superficial similarity is more impor. tont thon structural similarity; and yet (c) purely structural (anologicol) re...

AgreementMakerLight (AML) is an automated ontology matching framework based on element-level matching and the use of external resources as background knowledge. This paper describes the configuration of AML for the OAEI 2013 competition and discusses its results. Being a newly developed and still incomplete system, our focus in this year’s OAEI were the anatomy and large biomedical ontologies t...

A computer accompaniment system has been extended with several techniques to solve problems associated with reliably recognizing and following a real-time performance. One technique is the use of an additional matcher to consider alternatives when the performance could be interpreted in two ways. Another is to delay corrective action when data from the matcher is suspect. Methods for handling g...

Matching crowdsourcing There may be several motivations for crowdsourcing ontology matching, i.e., relying on a crowd of workers for establishing alignments [2]. It may be for matching itself or for establishing a reference alignment against which matchers are evaluated. It may also be possible to use crowdsourcing as complement to a matcher, either to filter the finally provided alignment or t...

In this paper, we present the results obtained by our ontology matching system XMap++ within the OAEI 2014 campaign. XMap++ is a scalable ontology alignment tools capable of matching large scale ontology. This is our second participation in the OAEI, and we can see an overall improvement on nearly every task. 1 State, purpose, general statement XMap (eXtensible Mapping) is an ontology alignment...

This paper describes our participation in the Ontology Alignment Evaluation Initiative (OAEI) 2009 with the AgreementMaker system for ontology matching, in which we obtained excellent results. In particular, we participated in the benchmarks, anatomy, and conference tracks. In the anatomy track, we competed against nine other systems in all four subtracks obtaining the best result in subtrack 3...