International Business Machines Corporation

Arthur Charles Ciccolo

David Angelo Ferrucci

Wlodek Wlodzimierz Zadrozny

David Carmel

Yoelle Smadja Maarek

Yosi Mass

Aya Soffer

Anil Nigam

Andrei Zary Broder

John D Mackay

Nathan Sauders Caswell

Philip C D Hobbs

Howard Sachar

Howard E Sachar

Phillip Hobbs

Disclosed is a system architecture, components and a searching technique for an Unstructured Information Management System (UIMS). The UIMS may be provided as middleware for the effective management and interchange of unstructured information over a wide array of information sources. The architecture generally includes a search engine, data storage, analysis engines containing pipelined document annotators and various adapters. The searching technique makes use of a two-level searching technique. Also disclosed is system, method and computer program product to process document data. The method includes inputting a document and operating at least one text analysis engine that comprises a plurality of coupled annotators for tokenizing document data for identifying and annotating a particular type of semantic content. Operating the at least one text analysis engine generates a plurality of views of a document, where each of the plurality of views are derived from a different tokenization of the document. The method further includes storing the plurality of views in a common data structure associated with the document.

System, method and computer program product for performing unstructured information management and automatic text analysis, and providing multiple document views derived from different document tokenizations

A method s for specifying and implementing automation of business processes where the specification is independently manipulable by both the business process owner and technical implementers, and resulting technical elements can be tested for compliance with every detail in the specification. The method creates a single shared model suitable for understanding and execution in both the business and technical domains by focusing on the specification problem in the area of business automation. The solution to the specification problem lies in Information, Function, Flow (IFF or IF ) factorization of business processes. Models of the business are constructed by way of the IF modeling methodology. This is a complete model which includes, by construction, external specifications of each task included in the business model. The modularization problem is solved by preserving the partitioning of the system created in the business model. The automation system implements concrete modules that uniquely and directly correspond to particular elements whose external specification is determined by the business model.

Method and system for specifying and implementing automation of business processes

A system and method for monitoring behavior patterns which effectively distinguishes between alarming and non-alarming behavior patterns, includes at least one sensor for detecting behavior patterns, a memory device coupled to the sensor, for storing standard behavior patterns, and a processor, coupled to the memory device, for comparing standard behavior patterns with detected behavior patterns, and causing a response to be activated when standard behavior patterns and detected behavior patterns have a predetermined relationship.

System and method for monitoring behavior patterns

The present invention is in the field of sensor fusion, and discloses in one embodiment a method for extracting the trajectories of moving objects from an assembly of low-resolution sensors, whose spatial relationships are initially unknown, except that their fields of view are known to overlap so as to form a continuous coverage region, which may be much larger than the field of view of any individual sensor. Segments of object trajectories may be extracted from the data of each sensor, and then stitched together to reconstruct the trajectories of the objects. The stitching process also allows determination of the spatial relationships between the sensors, so that from initially knowing little or nothing about the sensor arrangement or the paths of the objects, both may be reconstructed unambiguously.

Method and system for recapturing a trajectory of an object

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Ridgefield, CT, United States of America

Arthur Charles Ciccolo