An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

Schema and ontology matching is a critical problem in many application domains, such as
semantic web, schema/ontology integration, data warehouses, e-commerce, etc. Many …

Data integration is a pervasive challenge faced in applications that need to query across
multiple autonomous and heterogeneous data sources. Data integration is crucial in large …

Streaming data analysis has recently attracted attention in numerous applications including
telephone records, Web documents and click streams. For such analysis, single-pass …

Ontology alignment identifies semantically matching entities in different ontologies. Various
ontology alignment strategies have been proposed; however, few systems have explored …

We think of Match as an operator which takes two graph-like structures (eg, conceptual
hierarchies or ontologies) and produces a mapping between those nodes of the two graphs …

A large number of information systems use many different individual schemas to represent
data. Semantically linking these schemas is a necessary precondition to establish …

Business process models are becoming available in large numbers due to their widespread
use in many industrial applications such as enterprise and quality engineering projects. On …

Model management is a generic approach to solving problems of data programmability
where precisely engineered mappings are required. Applications include data warehousing …

We view match as an operator that takes two graph-like structures (eg, classifications, XML
schemas) and produces a mapping between the nodes of these graphs that correspond …