Curbera, NY
Francisco Curbera, Hastings On Hudson, NY US
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20150128034 | ACHIEVING BETTER CASE OUTCOMES THROUGH THE USE OF AGGREGATE CASE HISTORIES - A method of case management includes receiving a plurality of previously executed case instances, receiving a selection of current case attributes and at least one candidate case outcome during runtime of a currently executing case instance, and generating a visual representation of case distributions using the previously executed case instances. The visual representation depicts a correlation between the current case attributes and the at least one candidate case outcome, and is generated using analytics applied to the plurality of previously executed case instances. | 05-07-2015 |
Francisco Curbera, Hawthorne, NY US
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20110267351 | Dynamic Adaptive Process Discovery and Compliance - A method for modeling a process includes collecting data pertaining to executed process steps from one or more activity log files. The collected data is parsed to determine a set of process steps that have been performed. An incidence value representing how many times each performed process step follows each of the other performed process steps is determined. A graph representing a model of the executed process by representing each process step that has been performed as a node of the graph and each transition between process steps within each process thread as an edge on the graph is generated. The edges connecting the pairs of nodes are assigned numbers that depend upon the incidence value corresponding to how many times the process step represented by a first node of the pair is followed by the process step represented by a second node of the pair. | 11-03-2011 |
20110270853 | Dynamic Storage and Retrieval of Process Graphs - A method for modeling a process includes receiving a plurality of graphs representing processes wherein for each graph. A sequence of process steps of the processes are represented as nodes and edges connecting pairs of nodes represent transitions between process steps. A numeric value representative of graph appearance for each of the plurality of received graphs is calculated. Each of the plurality of received graphs is stored within a tree-like data structure according to its corresponding numeric value. Each of the above steps is performed using a computer system. | 11-03-2011 |
Francisco Curbera, South Salem, NY US
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20110321131 | SECURITY MODEL FOR WORKFLOWS AGGREGATING THIRD PARTY SECURE SERVICES - A method, system and computer program product for security model for workflows aggregating third party secure services. In one embodiment, a workflow model described in a workflow language is provided and configured to declare security requirements of a composite application integrating protected data from two or more external network resources. The method also incorporates providing an authentication service executing on at least one secure server computer. The authentication service is configured to conduct user authentication and authorization to access the protected data at the external network resources on behalf of the composite application executing on at least one host server computer according to the workflow language. | 12-29-2011 |
Francisco Curbera, Yorktown Heights, NY US
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20150019298 | ESTIMATING PATH INFORMATION IN BUSINESS PROCESS INSTANCES WHEN PATH INFORMATION INFLUENCES DECISION - Systems and methods for predicting trace information include determining a plurality of trace candidates for one or more traces having missing path information, the plurality of trace candidates having path information for tasks of a business process model, which includes a plurality of independent parallel paths. Probabilities that each of the plurality of trace candidates for the business process model is an actual trace are computed using a processor for the one or more traces. One of the plurality of trace candidates is identified as the actual trace based on the probabilities to predict path information of the one or more traces. | 01-15-2015 |
Francisco P. Curbera, Hastings On Hudson, NY US
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20100004968 | PATTERN-BASED POLICY APPLICATION MECHANISM FOR SCA - A pattern-based policy method for service component architecture (SCA) defines a policy pattern for SCA. The policy pattern includes a plurality of roles and one or more constraints between said plurality of roles. Each of said plurality of roles defines a plurality of intents or policy sets or combination thereof. One or more roles assigned to said one or more SCA components are identified and one or more intents or policy sets or combination thereof associated with said one or more roles are automatically applied to said one or more SCA components. Said one or more intents or policy sets or combination thereof applied to said one or more SCA components are validated based on said one or more constraints. | 01-07-2010 |
20120179990 | Capturing and Visualizing Data Lineage in Content Management System - Techniques are disclosed for capturing and visualizing data lineage in content management systems. For example, a method comprises the following steps. A plurality of data sets is received. Each of the data sets is associated with a party and comprises a plurality of information. A set of lineage data about one or more of the data sets is received. The lineage data comprises information about the history of a particular data set. A user interface is presented that conveys a representation of one or more of the plurality of received data sets and at least a portion of the lineage data about the history of one or more of the data sets. A command is received at the user interface to merge or unmerge two data sets in the plurality of data sets. Two or more data sets in the plurality of data sets are merged or unmerged based on the received command. | 07-12-2012 |
Francisco P. Curbera, Hawthorne, NY US
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20130086123 | PRESENTING INFORMATION FROM HETEROGENEOUS AND DISTRIBUTED DATA SOURCES WITH REAL TIME UPDATES - Receiving from each of a plurality of low level monitor models an outbound event comprising information associated with a respective data source. The information received in each of the outbound events can be collected to a global monitoring context in which the information is automatically aggregated. Via a global cube associated with the global monitoring context, the information can be presented in a report. At least one new outbound event can be received. The new outbound event can include updated information associated with at least one of the data sources. Responsive to receiving the new outbound event, the information presented the report can be updated in real time to reflect the updated information. | 04-04-2013 |
20130086125 | PRESENTING INFORMATION FROM HETEROGENEOUS AND DISTRIBUTED DATA SOURCES WITH REAL TIME UPDATES - Receiving from each of a plurality of low level monitor models an outbound event comprising information associated with a respective data source. The information received in each of the outbound events can be collected to a global monitoring context in which the information is automatically aggregated. Via a global cube associated with the global monitoring context, the information can be presented in a report. At least one new outbound event can be received. The new outbound event can include updated information associated with at least one of the data sources. Responsive to receiving the new outbound event, the information presented the report can be updated in real time to reflect the updated information. | 04-04-2013 |
20130231978 | INTEGRATED CASE MANAGEMENT HISTORY AND ANALYTICS - A method, system and computer program product for determining health of a case. The method includes the steps of: obtaining at least one correlated trace from (i) task descriptions or (ii) data related to the task descriptions or a process instance; calculating at least one current metric using (i) the task descriptions, (ii) the data, (iii) the correlated trace or (iv) a first model; calculating at least one prognostic metric using a second model; and creating at least one combination metric from the current metric and the prognostic metric; where at least one of the steps is carried out using a computer device. | 09-05-2013 |
Francisco Phelan Curbera, Hastings On Hudson, NY US
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20090241128 | Controlling Navigation of Application Logic Using Annotated Application Code - A computer implemented method, apparatus, and computer usable program product for processing application code. In one embodiment, a call is received to invoke a set of methods of annotated application code. The annotated application code includes a set of annotations specifying a selection of the set of methods. A selected method from the set of methods is invoked in response to determining that the call is valid according to the set of annotations. Thereafter, a subsequent set of valid methods for execution is identified based upon an annotation associated with the selected method. | 09-24-2009 |
20100114627 | Processing of Provenance Data for Automatic Discovery of Enterprise Process Information - Techniques are disclosed for capturing, storing, querying and analyzing provenance data for automatic discovery of enterprise process information. For example, a computer-implemented method for managing a process associated with an enterprise comprises the following steps. Data associated with an actual end-to-end execution of an enterprise process is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph that provides a visual representation of the generated provenance data is generated, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. The generated provenance graph is stored in a repository for use in analyzing the enterprise process. | 05-06-2010 |
20100114628 | Validating Compliance in Enterprise Operations Based on Provenance Data - Techniques are disclosed for validating compliance with enterprise operations based on provenance data. For example, a computer-implemented method for validating that an enterprise process is in compliance with a rule comprises the following steps. Provenance data is generated, wherein the provenance data is based on collected data associated with an actual end-to-end execution of the enterprise process and is indicative of a lineage of one or more data items. A provenance graph is generated that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. A correlation is generated between one or more entities in the rule and one or more record types in the provenance data. One or more control points are generated in accordance with the generated correlation. A validation is performed as to whether the enterprise process is in compliance with the rule using the one or more control points. | 05-06-2010 |
20100114629 | Extracting Enterprise Information Through Analysis of Provenance Data - Techniques are disclosed for extracting information through analysis of provenance data. For example, a computer-implemented method of extracting information regarding an execution of an enterprise process comprises the following steps. Provenance data is generated, wherein the provenance data is based on collected data associated with an actual end-to-end execution of the enterprise process and is indicative of a lineage of one or more data items. A provenance graph is generated that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. At least a portion of the generated provenance data from the graph is analyzed so as to extract information about the execution of the enterprise process based on the analysis. | 05-06-2010 |
20100114630 | Influencing Behavior of Enterprise Operations During Process Enactment Using Provenance Data - Techniques are disclosed for influencing behavior of enterprise operations during process enactment using provenance data. For example, a computer-implemented method of influencing a behavior of an enterprise process comprises the following steps. Provenance data is generated, wherein the provenance data is based on collected data associated with at least a partial actual execution of the enterprise process and is indicative of a lineage of one or more data items. A provenance graph is generated that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. At least a portion of the generated provenance data from the graph is analyzed to generate an execution pattern corresponding to the at least partial actual execution of the enterprise process. The execution pattern is compared to one or more previously stored patterns. A determination is made as to whether or not to alter the enterprise process based on a result of the comparison. | 05-06-2010 |
20120143774 | Techniques for Creating Service Status Abstraction Layers Based on Client Roles in a Business Process Management Scenario - Techniques for role-based service operation status reporting to clients are provided. In one aspect, a method for reporting a status of a service operation to a client is provided. The method includes the following steps. A sequence of business process steps involved in performing the service operation is identified. One or more abstractions of the business process steps are made, each abstraction containing a sequence of a fewer number of steps than the business process, wherein the number of steps in each of the abstractions correlates with a level of detail about the service operation. The status of the service operation is reported to the client based on a given one of the abstractions having the level of detail best suited to a role of the client. | 06-07-2012 |
20120179510 | PROCESSING OF PROVENANCE DATA FOR AUTOMATIC DISCOVERY OF ENTERPRISE PROCESS INFORMATION - Techniques are disclosed for capturing, storing, querying and analyzing provenance data for automatic discovery of enterprise process information. For example, a computer-implemented method for managing a process associated with an enterprise comprises the following steps. Data associated with an actual end-to-end execution of an enterprise process is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph that provides a visual representation of the generated provenance data is generated, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. The generated provenance graph is stored in a repository for use in analyzing the enterprise process. | 07-12-2012 |
Francisco Phelan Curbera, Hawthorne, NY US
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20110267350 | Adaptive Process Simplification of Mined Business Process Graphs Using Tutte Parameterizations - A method of graph simplification includes receiving a connected process graph having a plurality of edges and nodes, parameterizing the connected process graph to determine a mapping where none of the edges overlap, defining respective energies for a plurality of triangles formed by the edges and the nodes in the connected process graph, identifying node clusters in the connected process graph, and collapsing, for each node cluster, ones of the edges and nodes in the connected process graph that are not critical edges or critical nodes according to the energies. | 11-03-2011 |
20120066166 | Predictive Analytics for Semi-Structured Case Oriented Processes - A method for predictive analytics for a process includes receiving at least one trace of the process, building a probabilistic graph modeling the at least one trace, determining content at each node of the probabilistic graph, wherein a node represents an activity of the process and at least one node is a decision node, modeling each decision node as a respective decision tree, and predicting, for an execution of the process, a path in the probabilistic graph from any decision node to a prediction target node of a plurality of prediction target nodes given the content. | 03-15-2012 |