Abstract: A video surveillance system for reducing false alarms. The video surveillance system includes a camera and an electronic processor. The electronic processor is configured to, when a moving object is detected in a video captured by the camera, perform object detection on the video to determine a score associated with a class of objects, using metadata associated with the video, determine a feature associated with the moving object detected in the video, and, using a machine learning algorithm, analyze the score associated with the class of objects and the feature associated with the moving object detected in the video, to determine whether the moving object detected in the video is a false alarm or a true alarm. The electronic processor is also configured to, when the moving object detected in the video is a true alarm, generate an alert.

Abstract: Methods and arrangements for assessing impact of an event on a network. An event notification is received relative to traffic in the network. Metadata are extracted from the notification, and the extracted metadata are converted into a predetermined format for processing. The converted metadata are received, and an impact of the event on traffic in the network is determined. Other variants and embodiments are broadly contemplated herein.

Abstract: Exemplary embodiments of the present invention disclose a method, computer program product, and system for updating an ontology when a set of evidences and a set of constraints are given as inputs. Exemplary embodiments categorize concepts into three sets, a definitely relevant set, a possibly relevant set, and an irrelevant set. Exemplary embodiments store the concepts from the definitely relevant set in the ontology and the concepts from the possibly relevant set in a residual ontology. Exemplary embodiments match concepts in the set of evidences to the concepts in the ontology or the concepts in the residual ontology. Exemplary embodiments determine to enhance the strength of the existing concepts in the ontology or the existing concepts in the residual ontology. Exemplary embodiments determine to expand the ontology or the residual ontology. Exemplary embodiments remove the concepts from the ontology or the residual ontology utilizing the set of constraints.

Abstract: Methods and arrangements for assessing impact of an event on a network. An event notification is received relative to traffic in the network. Metadata are extracted from the notification, and the extracted metadata are converted into a predetermined format for processing. The converted metadata are received, and an impact of the event on traffic in the network is determined. Other variants and embodiments are broadly contemplated herein.

Abstract: Exemplary embodiments of the present invention disclose a method, computer program product, and system for updating an ontology when a set of evidences and a set of constraints are given as inputs. Exemplary embodiments categorize concepts into three sets, a definitely relevant set, a possibly relevant set, and an irrelevant set. Exemplary embodiments store the concepts from the definitely relevant set in the ontology and the concepts from the possibly relevant set in a residual ontology. Exemplary embodiments match concepts in the set of evidences to the concepts in the ontology or the concepts in the residual ontology. Exemplary embodiments determine to enhance the strength of the existing concepts in the ontology or the existing concepts in the residual ontology. Exemplary embodiments determine to expand the ontology or the residual ontology. Exemplary embodiments remove the concepts from the ontology or the residual ontology utilizing the set of constraints.