Complex event processing ≈ Complex event processing
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Event Extraction by Answering (Almost) Natural Questions Open
The problem of event extraction requires detecting the event trigger and extracting its corresponding arguments. Existing work in event argument extraction typically relies heavily on entity recognition as a preprocessing/concurrent step, …
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CityPulse: Large Scale Data Analytics Framework for Smart Cities Open
Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and…
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Constructing Narrative Event Evolutionary Graph for Script Event Prediction Open
Script event prediction requires a model to predict the subsequent event given an existing event context. Previous models based on event pairs or event chains cannot make full use of dense event connections, which may limit their capabilit…
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Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications Open
Smart cities are urban environments where Internet of Things (IoT) devices provide a continuous source of data about urban phenomena such as traffic and air pollution. The exploitation of the spatial properties of data enables situation an…
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Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction Open
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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Using Internet of Things Technologies for a Collaborative Supply Chain: Application to Tracking of Pallets and Containers Open
International audience
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Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks Open
Events are happening in real-world and real-time, which can be planned and organized occasions involving multiple people and objects. Social media platforms publish a lot of text messages containing public events with comprehensive topics.…
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Degeneracy-Based Real-Time Sub-Event Detection in Twitter Stream Open
In this paper, we deal with the task of sub-event detection in evolving events using posts collected from the Twitter stream. By representing a sequence of successive tweets in a short time interval as a weighted graph-of-words, we are abl…
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Event Prediction in the Big Data Era Open
Events are occurrences in specific locations, time, and semantics that nontrivially impact either our society or the nature, such as earthquakes, civil unrest, system failures, pandemics, and crimes. It is highly desirable to be able to an…
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Efficient Anomaly Detection for Smart Hospital IoT Systems Open
In critical Internet of Things (IoT) application domains, such as the Defense Industry and Healthcare, false alerts have many negative effects, such as fear, disruption of emergency services, and waste of resources. Therefore, an alert mus…
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Innovation in Pharmacovigilance: Use of Artificial Intelligence in Adverse Event Case Processing Open
Automation of pharmaceutical safety case processing represents a significant opportunity to affect the strongest cost driver for a company's overall pharmacovigilance budget. A pilot was undertaken to test the feasibility of using artifici…
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Real-Time Probabilistic Data Fusion for Large-Scale IoT Applications Open
Internet of Things (IoT) data analytics is underpinning numerous applications, however, the task is still challenging predominantly due to heterogeneous IoT data streams, unreliable networks, and ever increasing size of the data. In this c…
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Event Detection and User Interest Discovering in Social Media Data Streams Open
Social media plays an increasingly important role in people’s life. Microblogging is a form of social media which allows people to share and disseminate real-life events. Broadcasting events in microblogging networks can be an effective me…
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Design and implementation of a cloud-based event-driven architecture for real-time data processing in wireless sensor networks Open
The growth of the Internet of Things (IoTs) and the number of connected devices is driven by emerging applications and business models. One common aim is to provide systems able to synchronize these devices, handle the big amount of daily …
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Fast event-based corner detection Open
Event cameras offer many advantages over standard frame-based cameras, such as low latency, high temporal resolution, and a high dynamic range. They respond to pixel-level brightness changes and, therefore, provide a sparse output. However…
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Machine learning and Natural Language Processing of social media data for event detection in smart cities Open
Social media data analysis in a smart city context can represent an efficacious instrument to inform decision making. The manuscript strives to leverage the power of Natural Language Processing (NLP) techniques applied to Twitter messages …
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Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques Open
Complex Event Processing (CEP) is a novel and promising methodology that enables the real-time analysis of stream event data. The main purpose of CEP is detection of the complex event patterns from the atomic and semantically low-level eve…
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Data-Driven Event Triggering for IoT Applications Open
Event-triggering (ET) is an up-and-coming technological paradigm for monitoring, optimization, and control in the Internet of Things (IoT) that achieves improved levels of operational efficiency. This paper first defines the envisioned eve…
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A Survey on Object Detection for the Internet of Multimedia Things (IoMT) using Deep Learning and Event-based Middleware: Approaches, Challenges, and Future Directions Open
An enormous amount of sensing devices (scalar or multimedia) collect and generate information (in the form of events) over the Internet of Things (IoT). Present research on IoT mainly focus on the processing of scalar sensor data events an…
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Guided Process Discovery – A pattern-based approach Open
Process mining techniques analyze processes based on events stored in event logs. Yet, low-level events recorded by information systems may not directly match high-level activities that make sense to process stakeholders. This results in d…
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Exploring the Feasibility of ChatGPT for Event Extraction Open
Event extraction is a fundamental task in natural language processing that involves identifying and extracting information about events mentioned in text. However, it is a challenging task due to the lack of annotated data, which is expens…
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LARS: A Logic-Based Framework for Analyzing Reasoning over Streams Open
The recent rise of smart applications has drawn interest to logical reasoning over data streams. Different query languages and stream processing/reasoning engines were proposed. However, due to a lack of theoretical foundations, the expres…
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Blockchain-Based Event Detection and Trust Verification Using Natural Language Processing and Machine Learning Open
Information sharing is one of the huge topics in social media platform regarding the daily news related to events or disasters happens in nature or its human-made. The automatic urgent need identification and sharing posts and information …
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Event temporal relation extraction with attention mechanism and graph neural network Open
Event temporal relation extraction is an important part of natural language processing. Many models are being used in this task with the development of deep learning. However, most of the existing methods cannot accurately obtain the degre…
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Scalable Pattern Sharing on Event Streams* Open
Complex Event Processing (CEP) has emerged as a technology of choice for high performance event analytics in time-critical decision-making applications. Yet it is becoming increasingly difficult to support high-performance event processing…
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CEPSim: Modelling and simulation of Complex Event Processing systems in cloud environments Open
The emergence of Big Data has had profound impacts on how data are stored and processed. As technologies created to process continuous streams of data with low latency, Complex Event Processing (CEP) and Stream Processing (SP) have often b…
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Towards a Generalized Approach for Deep Neural Network Based Event Processing for the Internet of Multimedia Things Open
Event processing systems serve as a middleware between the Internet of Things (IoT) and the application layer by allowing users to subscribe to events of interest. Due to the increase of multimedia IoT devices (i.e. traffic camera), the ty…
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Seed-Based Event Trigger Labeling: How far can event descriptions get us? Open
Ofer Bronstein, Ido Dagan, Qi Li, Heng Ji, Anette Frank. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Pap…
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P4CEP Open
\n In-network computing using programmable networking hardware is a\n strong trend in networking that promises to reduce latency and\n consumption of server resources through offloading to network\n elements (programmable switches and smar…
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New parallel processing strategies in complex event processing systems with data streams Open
Sensor network–based application has gained increasing attention where data streams gathered from distributed sensors need to be processed and analyzed with timely responses. Distributed complex event processing is an effective technology …