Representation and processing of information related to real world events

Nagargadde, A.; Sridhar, V.; Ramamritham, Krithi

doi:10.1016/j.knosys.2006.07.005

Cited by 6 publications

(7 citation statements)

References 10 publications

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“…Detecting linkages between events has been addressed by researchers mainly from two perspectives: linking events on the basis of event information attributes (location, date/time, type etc.) [3,4,5,6,7,8,9,10,11,12] and linking events on the basis of information related to events (pictures, news, posts etc.) [13,14,15,16,17,18,19].…”

Section: Related Workmentioning

confidence: 99%

“…Ontology-based solutions [3,4,5,6] are generally aimed at modeling events so that the connections between events can be traced easily. The algebra-based solutions [7,8,9,10,11,12] are largely focused on defining operators that represent possible linkages between events. In this paper, we are concerned with algebra-based solutions to linkage detection.…”

Section: Related Workmentioning

confidence: 99%

“…In our work, we target events appearing over social text streams and WWW in general. [4,5] A PA NA NA [6] A NA NA NA [9] A A NA NA [12] NA PA NA NA [11] NA PA PA NA [7,8] NA PA PA NA [10] NA PA NA NA…”

Section: Related Workmentioning

confidence: 99%

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Information Processing in EventWeb through Detection and Analysis of Connections between Events

Mahmood¹,

Wasi²,

Khan³

et al. 2018

ijacsa

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Information over the Web is rapidly becoming event-centric with the next age of WWW projected to be an EventWeb in which nodes are interconnected through diverse types of links. These nodes represent events having informational and experiential information and analysis of these events has a substantial semantic impact regarding enhancement of information search, visualization and story link detection. Information regarding semantics of EventWeb connections is also important for event planning and web management tasks. In this paper, we devise and implement an event algebra for detection and analysis of event connections. As compared to traditional solutions, we process both context-match operators and analytical operators, cater for all event information attributes, and define the strength of connections. We implement a tool to evaluate our algebra over events occurring in the academic domain. We demonstrate an almost perfect precision and recall for context-match operators and high precision and recall for analytical operators.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Information Processing in EventWeb through Detection and Analysis of Connections between Events

Mahmood¹,

Wasi²,

Khan³

et al. 2018

ijacsa

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“…A high level event is often a composition of low-level events and potentially other high level events. The composition can be a conjunction or disjunction of events [6]. Often, events need to be considered in the context of the event history and both a high and low level.…”

mentioning

confidence: 99%

A Pervasive Computing System for the Operating Room of the Future

et al. 2007

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We describe a prototype Context Aware Perioperative Information System to capture and interpret data in an operating room of the future. The captured data is used to construct the context of the surgical procedure and detect medically significant events. Such events, and other state information, are used to automatically construct an Electronic Medical Encounter Record (EMR). The EMR records and correlates significant medical data and video streams with an inferred higher-level event model of the surgery. Information from sensors such as Radio Frequency Identification (RFID) tags provides basic context information including the presence of medical staff, devices, instruments and medication in the operating room (OR). Patient monitoring systems and sensors such as pulse oximeters and anesthesia machines provide continuous streams of physiological data. These low level data streams are processed to generate higher-level primitive events, such as a nurse entering the OR. A hierarchical knowledge-based event detection system correlates primitive events, patient data and workflow data to infer high-level events, such as the onset of anesthesia. The resulting EMR provides medical staff with a permanent record of the surgery that can be used for subsequent evaluation and training. The system can also be used to detect potentially significant errors. It seeks to automate some of the tasks done by nursing staff today that detracts from their ability to attend to the patient.

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“…[2011] characterize events in three main classes: actor, place and time, which refers to participants, spatial and temporal relationships, respectively. Nagargadde et al [2007] formally define a framework for modeling real-world events whose conceptual model encompasses time, space and label -where a label is understood as a semantic representation of an event.…”

Section: Documentation Of Interaction Eventsmentioning

confidence: 99%

Models and operators for extension of active multimedia documents via annotations

Martins¹

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Primarily, I acknowledge my advisor, Prof. Maria da Graça C. Pimentel, for the continuous support and guidance during the development of this dissertation. Thanks for helping me make this dissertation possible. I also thank CNPq for financing my research. Thanks to the evaluation committee for the important insights that contributed to improve the final version of this text. Thanks to research colleagues that have collaborated, directly or indirectly, to the discussions and experiments that lead to this research: Didier Vega-Oliveros, Lílian Oliveira e Diogo Pedrosa. I extend acknowledgements to the researchers from the SEN-5 group at CWI, who, during my internship with them, have contributed in important ways to my research: Pablo Cesar, Rodrigo Guimarães, Jack Jansen e Dick Bulterman. Finally, I thank my family for the support through this journey. First, my mother, Arlete, for standing up for me along my entire academic career and believing in my choices. My grandmother, Seide, whose early support in my education made it possible that I reached this milestone. In addition, Mario Liziér, for the understanding, support, and encouragement whenever I needed.

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Representation and processing of information related to real world events

Cited by 6 publications

References 10 publications

Information Processing in EventWeb through Detection and Analysis of Connections between Events

Information Processing in EventWeb through Detection and Analysis of Connections between Events

A Pervasive Computing System for the Operating Room of the Future

Models and operators for extension of active multimedia documents via annotations

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