Patent application number | Description | Published |
20110310793 | ON-DEMAND INFORMATION RETRIEVAL USING WIRELESS COMMUNICATION DEVICES - A method, information processing system, and computer program product provide on-demand information captured from wireless devices. An information request is received from an electronic device. At least one wireless communication device is identified from a set of wireless communication devices that is available to satisfy the information request. The information request is sent to the at least one wireless communication device in response to identifying the at least one wireless communication device. A set of information is received from the at least one wireless communication device that satisfies the information request. The set of information that has been received is sent to the electronic device. The information request comprises a request for a set of information of at least one information type and from a given geographical location. | 12-22-2011 |
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 |
20130067311 | System and Method of Automatically Mapping a Given Annotator to an Aggregate of Given Annotators - A document corpus is annotated by given annotators and aggregates of the given annotators to generate a corpus of pre-annotated documents with given annotations. The same document corpus is annotated by a subject annotator to have subject annotations. The subject annotations are decomposed into superpositions of the given annotations. The decomposed subject annotations are mapped to a most representative superposition of the given annotations. The subject annotator may be mapped to the aggregate of given annotators corresponding to the most representative superposition. | 03-14-2013 |
20130132138 | IDENTIFYING INFLUENCE PATHS AND EXPERTISE NETWORK IN AN ENTERPRISE USING MEETING PROVENANCE DATA - Techniques are disclosed for identifying influence paths and expertise networks in an enterprise using provenance data associated with one or more meetings. For example, a method for processing provenance data comprises the following steps: generating provenance data for each of one or more meetings that capture one or more aspects of each meeting, correlating the provenance data between the one or more meetings, identifying a main topic and one or more sub-topics of each of the one or more meetings to establish a relation between the one or more meetings on a basis of topic, and identifying a path of influence among one or more meetings based on the correlated provenance data and the topic relation of the one or more meetings, wherein a path of influence comprises a meeting that influences one or more subsequent meetings on a basis of provenance data and topic. | 05-23-2013 |
20140316851 | PREDICTING CUSTOMER RECEPTIVITY FOR COMMERCIAL ENGAGEMENT - In an exemplary embodiment of this disclosure, a computer-implemented method includes storing in a rules database one or more rules related to customer receptivity. A first subset of the rules is processed, by a computer processor, to determine a computed level of customer receptivity (LOCR) for each of one or more customers. One or more observed LOCRs are received for the one or more customers. Each observed LOCR may be based on contact with a corresponding customer of the one or more customers. One or more predicted LOCRs are predicted for the one or more customers, using one or more predictive models. Each predicted LOCR is based at least in part on an observed LOCR associated with the corresponding customer of the one or more customers. The rules in the rules database are then modified, repeatedly, to reflect the predicted LOCRs and additional predicted LOCRs after they are predicted. | 10-23-2014 |
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 |
20150052250 | ADAPTIVE ALGORITHM FOR CLOUD ADMISSION POLICIES - Disclosed is a novel system and method for managing requests for an additional virtual machine. The method begins with operating at least one virtual machine accessing at least one computer resource associated with at least one physical machine within a computing cluster. One or more non-deterministic virtual machine requests for the computer resource are received. An over-utilization of the computer resource as a probability distribution function is modeled. In one example, the probability distribution function is a Beta distribution function to represent a one of a plurality of probability distribution functions. Next, an additional virtual machine on the physical machine associated with the computer resource is added in response to a probability of a utilization of the computer resource being greater than a probalistic bound on the over-utilization of the computer resource. Otherwise, the additional virtual machine is not added. | 02-19-2015 |
Patent application number | Description | Published |
20120260265 | EXTRACTING AND PROCESSING DATA FROM HETEROGENEOUS COMPUTER APPLICATIONS - A computer-implemented method, system, and article of manufacture for extracting and processing event data from heterogeneous computer applications. The method includes providing a computer system having software modules for performing the steps of: receiving data related to a first event; identifying a data type of the first event based on data type definitions; selecting a set of extraction rules for extracting an attribute of an event having the identified data type; extracting the first attribute from the first event data based on the set of extraction rules; and mapping the first attribute to an event attribute of a unified structure. | 10-11-2012 |
20130103441 | Generating Predictions for Business Processes Whose Execution is Driven by Data - A method for generating predictions includes dividing a business process model into fragments, wherein the business process model includes task nodes and at least one decision node, determining the decision node in at least one of the fragments, determining a decision tree for each decision node, determining a probability for reaching a terminal node in each fragment, and merging the probabilities obtained from the fragments to find a probability of a future task. | 04-25-2013 |
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 |
Patent application number | Description | Published |
20080270393 | TECHNIQUES FOR PERSONALIZED AND ADAPTIVE SEARCH SERVICES - Techniques are presented for automatically selecting information sources that are most relevant to user queries. Results of searches returned by information sources for queries are analyzed and the information sources are ranked based on this analysis. The information sources that have high rankings for a query are subsequently used to search for relevant results. This process can be adaptive, as the returned results of old queries can be analyzed at a later date to update the ranking of the information sources, automatic searches can be performed to update the ranking of the information sources, new queries can be used for analysis and stored, new information sources added, and old information sources deleted. A linguistic library is used to store personal categories for one or more users and general categories. Each category is associated with keywords and ranked lists of information sources. The library also contains general categories, taxonomies, and dictionaries. | 10-30-2008 |
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 |
20120001917 | Management of a History of a Meeting - Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting 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 is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting. | 01-05-2012 |
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 |
20120185485 | Techniques for Personalized and Adaptive Search Services - Techniques are presented that include sending a query to one or more information sources associated with a category comprising one or more terms, wherein said one or more information sources are identified by a ranked list of information sources, and wherein said ranked list is generated by ranking a plurality of information sources based on scores for results returned by said plurality of information sources in response to a ranking query generated from said category, and obtaining results from said one or more information sources. | 07-19-2012 |
20120185497 | Techniques for Personalized and Adaptive Search Services - Techniques are presented that include defining one or more personalized categories, wherein each personalized category comprises one or more terms, identifying one or more of said personalized categories that are associated with a user query, identifying one or more terms that are associated with said user query and with said personalized category, and adding said identified one or more terms to said user query. | 07-19-2012 |
20120323827 | Generating Predictions From A Probabilistic Process Model - A method for predictive analytics in a semi-structured process including updating, iteratively, at least one probability of a probabilistic process model based on a completed task, wherein updating the at least one probability of the probabilistic process model includes receiving the probabilistic process model associated with a todo list including a plurality of tasks of the semi-structured process, defining a cost of each of the plurality of tasks, prioritizing the plurality of tasks according to the costs, and recommending a next task from the todo list according to a prioritization | 12-20-2012 |
20130007066 | MANAGEMENT OF A HISTORY OF A MEETING - Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting 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 is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting. | 01-03-2013 |