The XMapGen and XMapSig systems are flexible and self-configuring matching tools using different strategies for combining multiple similarity measures into a single aggregated metric with the final aim of improving the ontology alignment quality of large scale ontologies. XMapGen and XMapSig are two variants of XMap++. The results obtained by the two ontology matching tools within the 9th editi...

The paper presents a novel technique for aligning cross-lingual ontologies that does not rely on machine translation, but uses the large multilingual semantic network BabelNet as a source of background knowledge. In addition, our approach applies a novel orchestration of the components of the matching workflow. We demonstrate that our method outperforms considerably the best techniques in the s...

This paper presents an information extraction method, suitable for data-rich documents, based on the knowledge represented in a domain ontology. The extractor combines a fuzzy string matcher and a word sense disambiguation (WSD) algorithm. The fuzzy string matcher finds mentions of terms combining character-level and token-level similarity measures dealing with non-standardized acronyms and inc...

SPHeRe is an ontology matching system that utilizes cloud infrastructure for matching large scale ontologies and focus on alignment representation to be stored in the Mediation Bridge Ontology (MBO). MBO is the mediation ontology that stores all the alignments generated between the matched ontologies and represents it in a manner that provides maximum metadata information. SPHeRe is a new initi...

The integration of independently developed data sources poses many problems, which are the result of several types of heterogeneity. One of the most daunting challenges is schema matching, which is the semi-automatic process of detecting semantic relationships between attributes in heterogeneous schemata. Various solutions that exploit schema information or extract specific features from attrib...

This three-part appendix contains the results of experiments measuring the effectiveness of different categories of fusion: multi-modal (finger and face), multi-instance (multiple finger positions), multi-matcher, and multi-sample (multiple enrollments). Appendix B.1: Score-Level Fusion of Face and Multiple Fingerprints This is an analysis of the effectiveness of multi-modal (finger and face) a...

In this paper a schema is represented using schema trees. Structural matching is performed by matching the local vicinity of each vertex in a schema tree to the vicinity of each vertex in another schema tree using edit distance. A simulated authority is used to determine the quality of the matches by the matcher. The results show that structure indeed plays a role in matching and demonstrate th...

(2000). Make me a match: An evaluation of different approaches to score-performance matching. ABSTRACT — A matcher is an algorithm that links events in a musical performance to the corresponding events in a score. Matching is difficult because performers make errors, performers use expressive timing , and scores are frequently underspecified. In this article, two existing matchers are discussed...

Thermodynamic RNA secondary structure prediction is an important recipe for the latest generation of functional non-coding RNA finding tools. However, the predicted energy is not strong enough by itself to distinguish a single functional non-coding RNA from other RNA. Here, we analyze how well an RNA molecule folds into a particular structural class with a restricted folding algorithm called Th...

Ontology Mapping is a mandatory requirement for enabling semantic interoperability among different agents and services relying on different ontologies. This aspect becomes more critical in Peer-to-Peer (P2P) networks for several reasons: (i) the number of different ontologies can dramatically increase; (ii) mappings among peer ontologies have to be discovered on the fly and only on the parts of...