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SPEED: A Semantics-Based Pipeline for Economic Event Detection [chapter]

Frederik Hogenboom, Alexander Hogenboom, Flavius Frasincar, Uzay Kaymak, Otto van der Meer, Kim Schouten, Damir Vandic
2010 Lecture Notes in Computer Science  
We propose a Semantics-based Pipeline for Economic Event Detection (SPEED), aiming to extract financial events from emerging news and to annotate these with meta-data, while retaining a speed that is high  ...  Nowadays, emerging news on economic events such as acquisitions has a substantial impact on the financial markets.  ...  Acknowledgments The authors are partially sponsored by the NWO EW Free Competition project FERNAT: Financial Events Recognition in News for Algorithmic Trading.  ... 
doi:10.1007/978-3-642-16373-9_34 fatcat:k2qzer42prb2pj5ozipfhlfpna

High-speed query processing over high-speed networks

Wolf Rödiger, Tobias Mühlbauer, Alfons Kemper, Thomas Neumann
2015 Proceedings of the VLDB Endowment  
The economic viability of high-speed interconnects such as InfiniBand has narrowed this performance gap considerably.  ...  Second, a novel communication multiplexer tailored for analytical database workloads using remote direct memory access (RDMA) and low-latency network scheduling for high-speed communication with almost  ...  The event-based handling of completion notifications reduces the CPU overhead to a mere 4 % for a full-speed bidirectional transfer with 512 KB messages at the cost of a potentially higher latency compared  ... 
doi:10.14778/2856318.2856319 fatcat:aqpagqu5ibc4li5rm65nwh5efu

High-Speed Query Processing over High-Speed Networks [article]

Wolf Roediger, Tobias Muehlbauer, Alfons Kemper, Thomas Neumann
2015 arXiv   pre-print
The economic viability of high-speed interconnects such as InfiniBand has narrowed this performance gap considerably.  ...  Second, a novel communication multiplexer tailored for analytical database workloads using remote direct memory access (RDMA) and low-latency network scheduling for high-speed communication with almost  ...  The event-based handling of completion notifications reduces the CPU overhead to a mere 4 % for a full-speed bidirectional transfer with 512 KB messages at the cost of a potentially higher latency compared  ... 
arXiv:1502.07169v4 fatcat:girygakxsfewrp3u6jcyz54oea

Detecting Economic Events Using a Semantics-Based Pipeline [chapter]

Alexander Hogenboom, Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Otto van der Meer, Kim Schouten
2011 Lecture Notes in Computer Science  
We propose a Semanticsbased Pipeline for Economic Event Detection (SPEED), which aims at extracting financial events from news articles and annotating these events with meta-data, while retaining a speed  ...  In today's information-driven global economy, breaking news on economic events such as acquisitions and stock splits has a substantial impact on the financial markets.  ...  Acknowledgment The authors are partially sponsored by the NWO Physical Sciences Free Competition project 612.001.009: Financial Events Recognition in News for Algorithmic Trading (FERNAT).  ... 
doi:10.1007/978-3-642-23088-2_32 fatcat:zftmt3f3mjfwdjbunfoeq76wxm

Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading [article]

Christian Hansen
2021 arXiv   pre-print
text semantics in order to automatically fact-check claims, or "speed read" text for efficient further classification.  ...  Similarly, for systems that automatically infer the semantics of text, capturing the sequential order of words in a sentence is essential, as even a slight re-ordering could significantly alter its original  ...  This paper is focused on the first step, where the aim is to detect check-worthy sentences for further processing in either a manual or automatic pipeline.  ... 
arXiv:2109.06736v1 fatcat:xawmkvzhgng3vhhrs5xvwokqna

Internet of things for high-speed railways

Guidong Zhong, Ke Xiong, Zhangdui Zhong, Bo Ai
2021 Intelligent and Converged Networks  
Based on these concepts, a system architecture of the HSR IoT is proposed to expand the in-depth applications of IoT in various fields of the HSR industry.  ...  As a new generation of application infrastructure and strategic emerging technologies, the internet of things (IoT) is an inevitable trend to be integrated into the rapid development of high-speed railways  ...  Semantic technology may also be employed to carry out information fusion, construct a decision model based on semantic context, and extract decision information to assist HSR operation management, in order  ... 
doi:10.23919/icn.2021.0005 fatcat:7ymtejvsrrcv5dtzqwawjnphvq

Semantics-based information extraction for detecting economic events

Alexander Hogenboom, Frederik Hogenboom, Flavius Frasincar, Kim Schouten, Otto van der Meer
2012 Multimedia tools and applications  
Hence, we propose the Semantics-Based Pipeline for Economic Event Detection (SPEED), focusing on extracting financial events from news articles and annotating these with meta-data at a speed that enables  ...  , and components for detecting economic events.  ...  Acknowledgements The authors are partially sponsored by the NWO Physical Sciences Free Competition project 612.001.009: Financial Events Recognition in News for Algorithmic Trading (FERNAT) and the Dutch  ... 
doi:10.1007/s11042-012-1122-0 fatcat:iyzf7o2a4jctngausjmfbze4sq

The FAST methodology for high-speed SoC/computer simulation

Derek Chiou, Dam Sunwoo, Joonsoo Kim, Nikhil Patil, William H. Reinhart, D. Eric Johnson, Zheng Xu
2007 Computer-Aided Design (ICCAD), IEEE International Conference on  
The partitioning is crafted to map most of the parallel work onto the hardware-based predictive model, eliminating much of the complexity and difficulty of simulating parallel constructs on a sequential  ...  The methodology partitions a simulator into (i) a functional model that simulates the functionality of the computer system and (ii) a predictive model that predicts performance and other metrics.  ...  Joel Emer of Intel and Michael Pellauer of MIT for comments and technical discussions.  ... 
doi:10.1109/iccad.2007.4397280 dblp:conf/iccad/ChiouSKPRJX07 fatcat:ugphhb67t5fcxd6o66ajiapz2m

Performance analysis in high-speed wide area IP-over-ATM network: top-to-bottom end-to-end monitoring

B.L. Tierney, W.E. Johnston, J.R. Lee, G. Hoo
1996 IEEE Network  
We also describe the use of a distributed parallel data server as a network load generator that can be used in conjunction with this approach to probe various aspects of high-speed distributed systems  ...  We describe an approach to the analysis of the performance of distributed applications in high-speed wide-area networks.  ...  Apart from the immediate need for performance in MAGIC, the larger question that we hope to address by this methodology is whether high-performance use of networks, computing platforms, middleware, and  ... 
doi:10.1109/65.494559 fatcat:423sry5ksreklkog5x7kskow5u

Towards Building a Knowledge Base of Monetary Transactions from a News Collection

Jan R. Benetka, Krisztian Balog, Kjetil Norvag
2017 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)  
The developed techniques allow for semi-automatic population of a financial knowledge base, which, in turn, may be used to support a range of data mining and exploration tasks.  ...  We address the problem of extracting structured representations of economic events from a large corpus of news articles, using a combination of natural language processing and machine learning techniques  ...  [12] present a semantic-based pipeline for the detection of economic events (SPEED).  ... 
doi:10.1109/jcdl.2017.7991575 dblp:conf/jcdl/BenetkaBN17 fatcat:p5xzdf4prnfozlc7funjglenue

Editorial preface: special issue on multimedia data annotation and retrieval using web 2.0

Richard Chbeir, Vincent Oria
2012 Multimedia tools and applications  
How to protect a multimedia data repository (e.g., photo album) while several related information about the same content is already published (by some user friends) on the same or other blog/wiki/social  ...  All the papers we received for this special issue have been submitted to an independent peer reviewing and reviewed by at least three experts. Organization  ...  Hence, the authors propose the Semantics-Based Pipeline for Economic Event Detection (SPEED), focusing on extracting financial events from news articles and annotating these with meta-data at a speed that  ... 
doi:10.1007/s11042-012-1178-x fatcat:dhro7bh52ngszkslxeuwds446q

EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS

S. Van Ackere, J. Verbeurgt, L. De Sloover, A. De Wulf, N. Van de Weghe, P. De Maeyer
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We propose a pipeline to detect the dimension and location of doors and windows based on mobile LiDAR data and 360° images.  ...  In order to deploy an urban flood disaster and risk management system, it is necessary to know what the consequences of a specific urban flood event are to adapt to a potential event and prepare for its  ...  Although this material detection will remain a rudimentary estimate, this information can be used to estimate the stability of these weak spots for flood events in buildings.  ... 
doi:10.5194/isprs-archives-xlii-3-w8-429-2019 fatcat:edakslmnivgazpsufj7pcfdqym

VLX-Stories: Building an Online Event Knowledge Base with Emerging Entity Detection [chapter]

Dèlia Fernàndez-Cañellas, Joan Espadaler, David Rodriguez, Blai Garolera, Gemma Canet, Aleix Colom, Joan Marco Rimmek, Xavier Giro-i-Nieto, Elisenda Bou, Juan Carlos Riveiro
2019 Lecture Notes in Computer Science  
We present an online multilingual system for event detection and comprehension from media feeds.  ...  The generated events populate VLX-Stories -an event ontology-transforming unstructured text data to a structured knowledge base representation.  ...  This system is a big collaborative research project, which constructs an Event-Centric Knowledge Base (ECKB) based on financial and economic news articles.  ... 
doi:10.1007/978-3-030-30796-7_24 fatcat:ugmc2kek4zfmrio4zgtnmbgf4a

Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps [article]

B Ravi Kiran, Luis Roldão, Benat Irastorza, Renzo Verastegui, Sebastian Suss, Senthil Yogamani, Victor Talpaert, Alexandre Lepoutre, and Guillaume Trehard
2019 arXiv   pre-print
The prior 3D maps provide a static background model and we formulate dynamic object detection as a background subtraction problem.  ...  Computation and modeling challenges in the mapping and online execution pipeline are described. We propose a rejection cascade architecture to subtract road regions and other 3D regions separately.  ...  -Dynamic events representation: Besides providing a map of the environment, modern mapping systems also provide contextual information such as: speed limits, drivable directions and space, lane markings  ... 
arXiv:1809.11036v2 fatcat:crw2f5tzxzf2jijbqneyeftnfi

Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps [chapter]

B. Ravi Kiran, Luis Roldão, Beñat Irastorza, Renzo Verastegui, Sebastian Süss, Senthil Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard
2019 Lecture Notes in Computer Science  
The prior 3D maps provide a static background model and we formulate dynamic object detection as a background subtraction problem.  ...  Computation and modeling challenges in the mapping and online execution pipeline are described. We propose a rejection cascade architecture to subtract road regions and other 3D regions separately.  ...  -Dynamic events representation: Besides providing a map of the environment, modern mapping systems also provide contextual information such as: speed limits, drivable directions and space, lane markings  ... 
doi:10.1007/978-3-030-11021-5_35 fatcat:gpflv3irnbhjrnnz4f5yqrm4aa
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