International Business Machines Corporation

Automic Software Gmbh

Uc4 Software Gmbh

Senactive It-dienstleistungs Gmbh

Josef Schiefer

Martin Suntinger

Rakesh Mohan

Mitchell Adam Cohen

Hannes Obweger

Jenny S Li

Chung-Sheng Li

Hui Lei

Maroun Touma

Fenno F Heath, Iii

Nitinchandra R Nayak

Stephen V Stibler

Christian Rauscher

Juhnyoung Lee

John Scott Houston

Jun-Jang Jeng

Shubir Kapoor

Laurent David Hasson

Revathi Subramanian

Jakka Sairamesh

Jianren Li

Titania Mary Gupta

Szabolcs Rozsnyai

Heinz Roth

Pawan R Chowdbary

Gerd Saurer

A method of processing raw events to typed events, each raw event including data items containing data values, the method includes: providing a library of event type objects, each event type object relating to a given event type and including attributes of given data types, the attributes in each event type object structured according to a given structure; for each raw event, determining an event type object in the library which meets: (i) each of the data items in the raw event maps to an attribute in the event type object, and (ii) a data value in each of the data items is of a data type detected to match the given data type of the mapped attribute; and generating a typed event from each raw event, the typed event including the data values of the raw event structured according to the structure of the determined event type object.

Method of processing a source set of raw events to a target set of typed events

A method of visualizing sets of correlated events of a stream of events on a display, each event having a time of occurrence in the stream and at least one attribute indicating its correlation with the other events of a set, including the steps of plotting a glyph for each event on the display at a radial distance and an angular position with respect to an origin; the radial distance and the size of a glyph being proportional to the occurrence time of its event; the angular position of the glyph of a succeeding event in a set being chosen equal to that of the preceding event in the set unless these two glyphs would over-lap in which case the angular position of the glyph of said subsequent event is shifted in a given direction by an amount just sufficient to avoid such overlap; and the angular position of the glyph of the first event in a set being chosen so that overlapping of all glyphs is minimized.

Method of visualizing sets of correlated events on a display

A method of detecting a reference sequence of events in a sample sequence of events, wherein each event is of a certain event type and holds a set of data attributes, includes the steps of: picking candidate combinations of events from said sample sequence so that the event types within each candidate combination match the event types in the reference sequence, calculating an overall similarity score for each candidate combination from at least (i) an event occurrence score based on occurrence deviations representing a count of non-matching events between the events of a candidate combination matching events of the reference sequence and (ii) an attribute match score based on similarity deviations between the data attributes of the events of a candidate combination and the data attributes of the matching events of the reference sequence, and identifying the candidate combination with the best overall similarity score as reference sequence detected.

Method of detecting a reference sequence of events in a sample sequence of events

A method of detecting a reference sequence of events in a sample sequence of events, wherein each event is of a certain event type and holds a set of data attributes, includes the steps of: picking candidate combinations of events from said sample sequence so that the event types within each candidate combination match the event types in the reference sequence, calculating an overall similarity score for each candidate combination from at least (i) an event occurrence score based on occurrence deviations of the events of a candidate combination with respect to the matching events of the reference sequence and (ii) an attribute match score based on similarity deviations between the data attributes of the events of a candidate combination and the data attributes of the matching events of the reference sequence, and identifying the candidate combination with the best overall similarity score as reference sequence detected.

The invention provides a system adapted to enable contextual collaboration within a computer network. The invention provides a collaboration manager that supports manipulation of collaboration spaces. The collaboration spaces contain one or more collaboration elements that have potentially different collaboration modalities. The context manager maintains resources and resource interrelationships within contexts. The resources can include collaboration elements, processes, tasks, business objects, users, and/or roles. A view generator selects a set of the resources to be displayed to a user of the computer network. The invention also includes an interface adapted to allow applications to specify commands to manipulate collaboration spaces, commands to maintain resources and resource interrelationships within contexts, and queries for context-sensitive views.

Method and system for providing a common collaboration framework accessible from within multiple applications

A method of correlating events in a stream of data packets in which each data packet includes an event type identifier and an attribute associated with a type of event. A plurality of data packets of the stream of data packets is received and correlation set of selectors is applied to the received data packets. Each selector of the correlation set of selectors is responsive to data packets of a predetermined type of event to extract the attribute from the data packets. The method further includes assessing two or more data packets of the received data packets as correlating events if attributes extracted from the two or more data packets match. Additionally, the method includes accessing a correlation session in a data store for each correlating events match, the correlation session holding data items of tasks that process said correlating events.

Method of correlating events in data packet streams

A method and apparatus are disclosed for managing composite business processes that include multiple trading mechanisms, such as requests for quotes (RFQs), auctions and contracts, or repeat passes through a single trading mechanism. The independence of the individual business processes that manage each trading mechanism is maintained, while each individual business process can be connected to other business processes to form a composite business process. Each individual business process that may be followed by another business process to form a composite process must have at least one state labeled as a conversion state with a conversion transition to another business process. A conversion transition spans the gap between an end state of one business process and the start state of another subsequent business process. When a conversion state is entered by an object, a determination is made as to whether the object is being managed by a composite flow, and if so, what business process to use next. Conversion transitions execute any necessary steps to create a new object of the type required by the next business process in the composite process.

Method and apparatus for creating and managing complex business processes

A hybrid approach for capturing meta data about Business Processing Monitoring (BPM) artifacts is based on a combination of a relational meta data model and a semantic net. Meta data about metrics and situations and their dimensional context are first captured in the method. Then, relational meta data are used to describe a generic data schema for metrics, situations and their dimensional context. The meta data from semantic nets are used to extend the meta data definitions. Data from a data warehouse are searched and managed with the schema described and managed with the relational and semantic net meta data.

Adaptive data warehouse meta model method

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Vienna, Austria

Josef Schiefer