International Business Machines Corporation

Asaf Adi

Nir Mashkif

Sergey Zeltyn

Alexander Zadorojniy

Avi Yaeli

Lior Limonad

Alexander Kofman

Guy Sharon

Dinakaran B Joseph

Daniel Christopher Berg

Tamar Eilam

Matt Richard Hogstrom

Michael H Kalantar

Harm Sluiman

William Carlisle Arnold

Tova Roth

Edward Charles Snible

Alexander V Konstantinou

David Breitgand

Ruth Edith Willenborg

Jose I Ortiz

Opher Etzion

Ari Volcoff

Alessandro Donatelli

Gal A Shachor

Jonathan Bnayahu

Elad Yom-Tov

Peter Bak

Segev Eliezer Wasserkrug

Inbal Ronen

Gilad Mordechai Saadoun

Nili Guy

Tali Yatzkar-Haham

Michael C Mansell

David Franklin Manning

Yoav Rubin

Erez Lev Meir Bilgory

Dagan Gilat

Dolev Dotan

Boris Shulman

Sarit Arcushin

Sami Sobhe Marreed

Gil Nechushtai

Gilad Moredehi Saadoun

Offer Akrabi

An approach for automatically generate the Natural Language Interface (NLI) directly from the Graphical User Interface (GUI) code is disclosed. The approach leverages the use of mapping between GUI components to pre-defined NLI components in order to generate the necessary NLI components (e.g., intent example, entities, etc.) from the GUI code representation. The approach can leverage pre-defined patterns in order to generate these intent examples for each kind of NLI components. The created NLI dialog can be used simultaneously with the GUI or as a standalone feature.

Generating natural languages interface from graphic user interfaces

Embodiments of the present invention may provide the capability to detect complex events while providing improved detection and performance. In an embodiment of the present invention, a method for detecting an event may comprise receiving data representing measurement or detection of physical parameters, conditions, or actions, quantizing the received data and selecting a number of samples from the quantized data, generating a hidden Markov model representing events to be detected using initial model values based on ideal conditions, wherein a desired output is defined as a sequence of states, and wherein a number of states of the hidden Markov model is less than or equal to the number of samples of the quantized data, adjusting the quantized data and the initial model values to improve accuracy of the model, determining a state sequence of the hidden Markov model, and outputting an indication of a detected event.

Method for complex events detection using hidden markov models

Embodiments of the present invention may provide the capability to identify a specific object being interacted with that may be cheaply and easily included in mass-produced objects. In an embodiment, a computer-implemented method for object identification may comprise receiving a signal produced by a physical interaction with an object to be identified, the signal produced by an identification structure coupled to the object during physical interaction with the object, processing the signal to form digital data identifying the object, and accessing a database using the digital data to retrieve additional information identifying or describing properties of the object identified.

Physical-interactive IDS (P2D)

Physical interactive IDs (P2D)

A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Semantically rich composable software image bundles

A computerized method for generating monitoring rules, comprising: presenting to a user a spatio-temporal data indicative of a plurality of spatio-temporal attributes of a plurality of image objects in a space during a period; selecting, by a user, at least one of a spatial pattern and a temporal pattern represented in said spatio-temporal data; analyzing said at least one of a spatial pattern and a temporal pattern to identify at least one of a spatial related characteristic of at least some of said plurality of image objects and a temporal related characteristic of at least some of said plurality of image objects; automatically generating at least one monitoring rule to track an occurrence of said at least one of a location related characteristic and a temporal related characteristic.

Visual rules for decision management

A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Designing and building virtual images using semantically rich composable software image bundles

A method of ad hoc trust delegation in human-based workflow systems using one-time access key is provided herein. The method may include the following steps: generating a unique access key to a workflow system in response to a delegation of trust to one or more users; associating the unique access key with a specified portion of a workflow within the workflow system; embedding the unique access key in a message sent to the one or more users; and providing the one or more users with a one-time access to the workflow system, such that the access is limited to the specified portion of the workflow, in response to applying the unique access key to the workflow system.

Ad hoc trust delegation in human based workflow systems using one time access key

A method for managing a software development process, the method includes: receiving information representative of instances of simple software development process events; detecting, by a complex event processing (CEP) engine and in response to the received information, at least one complex situation; and invoking at least one software management process reaction responsive to a detection of the at least one complex situation.

Device, method and computer program product for managing a software development process

A novel and useful mechanism enabling a standard learning algorithm to generate rules for complex event processing (CEP) systems. The method creates rules that infer previously defined output events by creating input event feature vectors for each targeted output event. In addition, a method for automatically generating CEP system rules to infer output events which are anomalies (i.e. statistical outliers) of input event sequences is disclosed. Input feature vectors consisting of multiple input events and parameters for each targeted output event are then input into a standard learning algorithm to generate CEP system rules.

Generating complex event processing rules utilizing machine learning from multiple events

A method for evaluating a behavior of an entity, the method includes: converting a state machine representation of a behavior of an entity to a complex event processing (CEP) representation of the behavior of the entity; wherein the converting comprises defining a transition between multiple states of the state machine representation as a situation; and evaluating the behavior of the entity in response to the CEP representation.

Device, method and computer program product for evaluating a behavior of an entity

A method and system for ADI (Active Dependency Integration) provides an information and execution model for the description of enterprise systems, solutions and services. It supports the modeling of various entities and business components (e.g. event, disk, application, activity, business process), the information that is associated with them (i.e. schema), and the semantic relationships among them (e.g. dependency between a business component and other business components and events). The ADI execution model monitors and manages business components and the relationships among them. It automatically updates business components information in response to events occurrences and constraints violations, and propagates changes in business components to other business components according to the dependency model.

Method and system for active monitoring of dependency models

A method for situation management includes specifying a composite event as a combination of two or more predefined component events and defining a rule, which causes a reaction to be invoked upon an occurrence of the composite event subject to a given condition. When at least first and second instances of the component events are received before invoking the reaction, the first instance is evaluated subject to the condition, so as to determine whether the first instance can satisfy the rule, before evaluating the second instance. Responsive to evaluating the first instance subject to the condition, it is determined that the composite event has occurred, and the reaction is invoked.

Situation awareness system

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Qiryat Ata, Israel

Asaf Adi