International Business Machines Corporation

Huong Thu Morris

Yurdaer Nezihi Doganata

Aleksander A Slominski

Francisco Phelan Curbera

Nirmal K Mukhi

Axel Martens

Chung-Sheng Li

Kevin Patrick McAuliffe

Sharon C Adler

Hui-I Hsiao

Karen Wolfe Brannon

Douglas Charles Lovell

Eric Yu-sen Shan

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.

Capturing and visualizing data lineage in content management system

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.

Extracting enterprise information through analysis of provenance data

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.

Processing of provenance data for automatic discovery of enterprise process information

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.

Influencing behavior of enterprise operations during process enactment using provenance data

A relationship and navigation data repository can interface with a central data model and contains templates that define relationships among data from a number of distributed heterogeneous data sources. An integration engine is coupled to the relationship and navigation data repository, and can receive a query command and determine which of the heterogeneous data sources and which of the templates the query applies to, and then calculate the desired query result, responsive to the command, based on the relevant data sources and templates. The distributed heterogeneous data sources are managed by a system and method that involves obtaining pre-existing definitional data, instantiating in-memory nodes for the data, initializing a relationship attribute and an entity attribute for each of the nodes, and then forming an updated navigation tree structure therefrom.

System and method for managing complex relationships over distributed heterogeneous data sources

A content management system integrated with a web caching proxy that delivers content according to access control rules. An access control token is generated using a secret key when a user selects a desired object (to be provided only upon token validation, thus the object retrieval and delivery task can be delegated). However, tokens for other content and/or for other users could be generated by a rogue resource manager. If the desired object is already cached, the proxy asks the resource manager to validate the token and then selectively provides the desired object without contacting a library server. Alternately, the proxy itself performs the token validation, but must coordinate with the library server to ensure it has the latest secret key. Finally, the tokens may contain digital signatures generated with a private key and validated with a corresponding public key, so that private keys need not be distributed.

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Ridgefield, CT, United States of America

Huong Thu Morris