Karma

A Data Integration Tool

WHAT IS KARMA

Karma is an information integration tool that enables users to quickly and easily integrate data from a variety of data sources including databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs. Users integrate information by modeling it according to an ontology of their choice using a graphical user interface that automates much of the process. Karma learns to recognize the mapping of data to ontology classes and then uses the ontology to propose a model that ties together these classes. Users then interact with the system to adjust the automatically generated model. During this process, users can transform the data as needed to normalize data expressed in different formats and to restructure it. Once the model is complete, users can published the integrated data as RDF or store it in a database.

All the project publications are here. The best paper on the technical aspects of Karma is our ESWC'2012 paper, and the best application paper is our ESWC'2013 paper, which received the best in-use paper award at the conference.

KARMA INNOVATIONS

Ease of Use

Karma uses programming-by-example, learning techniques and a Steiner tree optimization algorithm to automate as much of the process as possible to enable end-users to map their data to a chosen ontology. Users adjust the automatically generated model using a graphical user interface and never see the complex mapping rules used in other systems.

Hierarchical Sources

Many systems have been developed to map tabular sources to ontologies. Karma is unique in that it also supports hierarchcal data sources such as XML, JSON and KML.

Web APIs

In addition to static sources (databases and files), Karma supports data integration from Web APIs, enabling users to leverage the thousands of data sources that are available today via Web APIs.

Semantic Models

Karma uses ontologies as a basis for integrating infomation, leveraring the class and property hierarchies, domain and range information and other ontology constructs to help users integrate their data. Karma allows users to combine multiple ontologies to enable users to map their data to standard vocabularies.

Scalable Processing

Users work with a subset of their data to define the models that integrate their data sources. This enables Karma to offer a responsive user interface when users are defining the model that integrates their data. Karma can then use these models in batch mode to integrate large data sources.

Data Transformation

Karma offers a programming-by-example interface to enable users to define data transformation scripts that transform data expressed in multiple data formats into a common format.

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ACKNOWLEDGMENT

This research is based upon work supported in part by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL) under contract number FA8750-14-C-0240, the Smithsonian American Art Museum, the National Science Foundation under awards IIS-1117913 and CMMI-0753124, the NIH through the following NCRR grant: the Biomedical Informatics Research Network (1 U24 RR025736-01), the National Institutes of Health under grant number (1 UL1 RR031986-01) at the University of Southern California.