International Business Machines Corporation

Suresh Thalamati

Yunyao Li

David Everett Simmen

Lucian Popa

Rajasekar Krishnamurthy

Georgia Koutrika

Frederick Ralph Reiss

Armageddon Rhabdizo Brown

Ryan Wisnesky

Mauricio Antonio Hernandez-Sherrington

Mauricio A Hernandez

Embodiments of the present invention relate to a new method of entity integration using high-level scripting languages. In one embodiment, a method of and computer product for entity integration is provided. An entity declaration is read from a machine readable medium. The entity declaration describes an entity including at least one nested entity. An index declaration is read from a machine readable medium. The index declaration describes an index of nested entities. An entity population rule is read from a machine readable medium. The entity population rule describes a mapping from an input schema to an output schema. The output schema conforms to the entity declaration. A plurality of input records is read from a first data store. The input records conform to the input schema. The entity population rule applies to the plurality of records to create a plurality of output records complying with the output schema. An index of nested entities is populated. The index complies with the index declaration.

Entity integration using high-level scripting languages

A data mashup system having information extraction capabilities for receiving multiple streams of textual data, at least one of which contains unstructured textual data. A repository stores annotators that describe how to analyze the streams of textual data for specified unstructured data components. The annotators are applied to the data streams to identify and extract the specified data components according to the annotators. The extracted data components are tagged to generate structured data components and the specified unstructured data components in the input data streams are replaced with the tagged data components. The system then combines the tagged data from the multiple streams to form a mashup output data stream.

Extensible system and method for information extraction in a data processing system

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San Jose, CA, United States of America

Suresh Thalamati