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GeneTegra is a novel integration application that allows users to locate, browse, and query disparate data sources from a single interface. It performs data linking by leveraging the ASMOVĀ ontology alignment component and provides extraction functionalities for heterogeneous data sources. This is accomplished without having to create a physical data warehouse. GeneTegra improves turnaround time and reduces the time spent on manual data management and data abstraction processes. With its on-demand integration and sharing capabilities, GeneTegra enhances team-based research and reduces the existence of data silos.

GeneTegra Key Features

Easily view, create and share data among researchers and scientists throughout an institution Allow access to multiple databases as a single harmonized view
Re-purpose data by customizing the views to support new research endeavors Explore and query organizational data more efficiently
Ensure data freshness by distributing the queries among live data stores Utilize consistent terminology to access unfamiliar data
Resolve inconsistencies between disparate sources through the application of rules Combine personal research data with institutional resources


ASMOV, which stands for Automated Semantic Mapping of Ontologies with Verification, is an automatic ontology alignment tool which produces class-to-class, property-to-property, individual-to-individual mappings. Although it was originally designed to facilitate the integration of heterogeneous systems, using their data source ontologies, it can be used to align ontologies from any domain.

The process diagram shown above depicts the major steps encountered when aligning ontologies using the ASMOV tool. Due to its iterative nature, ASMOV is able to analyze the intermediate alignments produced and eliminate incoherencies whenever found. This feature positioned ASMOV as one of the top three alignment tool at OAEI (three years in row) and as the most coherent alignment tool available1. Below are some of the Key features of ASMOV:

User Feedback
Although ASMOV is an automated process, it does not ignore the user interaction aspect that may be required to obtain perfect alignments. As a result, the ASMOV User Interface include a component that allows the user to review the alignments generated and address the errors that may exist. Since a single change may render a alignment incoherent, ASMOV will revalidate the alignment while considering the user inputs as partial alignment.

Background Knowledge
By default, the lexical matcher of ASMOV, which calculates the lexical similarity between entities, uses WordNet. However, other background knowledge may be more appropriate for other domains; for example, UMLS is better suited to alignment medical ontologies than WordNet. Consequently, ASMOV defines interfaces that enables expert users to implement adapters to other background knowledge. Two adapters are included with ASMOV: a WordNet and a UMLS adapters.

Logical Reasoning (Semantic Verification)
The Semantic Verification component within ASMOV make it possible to self validate the pre-alignments2, which lead to a more accurate alignment. The five types of verifications that are performed are illustrated below: