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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  ...  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

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  ...  For this, one has to be able to process a large amount of heterogeneous sources of unstructured data in order to extract knowledge useful for guiding decision making processes.  ...  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

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

Extracting Emergent Semantics from Large-Scale User-Generated Content [chapter]

Ioannis Kompatsiaris, Sotiris Diplaris, Symeon Papadopoulos
2012 Advances in Intelligent and Soft Computing  
Consequently a series of application domains is given where the extracted information can be consumed.  ...  A showcase of such an emergent semantics extraction application, namely ClustTour, is also presented, and open issues and future challenges in this new field are discussed.  ...  Based on massive user contributions, the emergent semantic extraction results could range from the single representation of events, and expand to past/current events detection or even future events prediction  ... 
doi:10.1007/978-3-642-28664-3_3 dblp:conf/ictinnovations/KompatsiarisDP11 fatcat:ehsp5zztzfh4pcciwkvsxhc5au

Special issue on behavior computing

Longbing Cao, Philip S Yu, Hiroshi Motoda, Graham Williams
2013 Knowledge and Information Systems  
In deeply understanding behaviors [2], interaction, coupling relationships, semantics, dynamics, change, and impact and utility [5] are important factors to consider.  ...  It aims at inventing and developing computing methodologies, techniques and tools for modeling, representing, reasoning about and checking behavior-oriented systems, for the modeling, analysis, discovery  ...  While event extraction and detection has been researched for a while, Nguyen, Phung, Adams and Venkatesh claim that none of this work has considered sentiment information as an underlying cause for event  ... 
doi:10.1007/s10115-013-0668-0 fatcat:dt5bgmkb2jfjneb3lfqaxbwupa

Ontology-based Recommender System of Economic Articles [article]

David Werner
2013 arXiv   pre-print
This paper presents a new type of recommendation based on the semantic description of both articles and user profile.  ...  Decision makers need economical information to drive their decisions.  ...  The approach developed here for the recommendation is based on the information, and the knowledge extracted from each economical article.  ... 
arXiv:1301.4781v1 fatcat:svofabnpyve5jhrpynz7hr2u6m

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)  
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  ...  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.  ...  [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  
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  ...  How to provide the user with more effective and expressive means to multimedia information retrieval?  ...  The second paper is entitled "Semantics-Based Information Extraction for Detecting Economic Events" by Alexander Hogenboom, Frederik Hogenboom, Flavius Frasincar, Kim Schouten, and Otto van der Meer.  ... 
doi:10.1007/s11042-012-1178-x fatcat:dhro7bh52ngszkslxeuwds446q

Can F-MTI semantic-mined drug codes be used for adverse drug events detection when no CPOE is available?

Béatrice Merlin, Emmanuel Chazard, Suzanne Pereira, Elisabeth Serrot, Saoussen Sakji, Régis Beuscart, Stefan Darmoni
2010 Studies in Health Technology and Informatics  
Moreover, the evaluation shows coherent and comparable results between the hospitals with CPOEs and the hospital with drugs information extracted from the reports for potential ADE detection. semantic  ...  Adverse Drug Events (ADEs) endanger the patients. Their detection and prevention is essential to improve the patients' safety.  ...  A semantic-mining tool can extract that information from the text.  ... 
pmid:20841839 fatcat:xshpskrn35ev3cbyyctwk6k2ia

MULTISENSOR: Development of multimedia content integration technologies for journalism, media monitoring and international exporting decision support

Stefanos Vrochidis, Ioannis Kompatsiaris, Gerard Casamayor, Ioannis Arapakis, Reinhard Busch, Vladimir Alexiev, Emmanuel Jamin, Michael Jugov, Nicolaus Heise, Teresa Forrellat, Dimitris Liparas, Leo Wanner (+7 others)
2015 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)  
, spatiotemporal, sentiment-oriented and semantic interpretation, and that correlate and summarise the content into a coherent whole.  ...  In this context, MULTISENSOR has researched and developed tools that provide unified access to multilingual and multicultural economic, news story material across borders, that ensure its context-aware  ...  content item (for category-based classification) [5] or a grouping for a list of content items based on the existence or not of a number of topics / events (for topic-event detection) [6] .  ... 
doi:10.1109/icmew.2015.7169818 dblp:conf/icmcs/VrochidisKCABAJ15 fatcat:z63j6tmu2zfgrl4zqtb4puwoku

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  
The system retrieves information from news sites, aggregates them into events (event detection), and summarizes them by extracting semantic labels of its most relevant entities (event representation) in  ...  We present an online multilingual system for event detection and comprehension from media feeds.  ...  The system is characterized by the adoption of semantic technologies, combined with Information Extraction techniques for event encoding.  ... 
doi:10.1007/978-3-030-30796-7_24 fatcat:ugmc2kek4zfmrio4zgtnmbgf4a

A study on video data mining

V. Vijayakumar, R. Nedunchezhian
2012 International Journal of Multimedia Information Retrieval  
Data mining is a process of extracting previously unknown knowledge and detecting the interesting patterns from a massive set of data.  ...  Thanks to the extensive use of information technology and the recent developments in multimedia systems, the amount of multimedia data available to users has increased exponentially.  ...  The current researches on it focus on mining object semantic information and event detection. The video event represents the occurrences of certain semantic concepts. Chen et al.  ... 
doi:10.1007/s13735-012-0016-2 fatcat:xuuf3w3b2rfcxlyevzndz6v62e

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.  ...  The use and improvement of this algorithm can greatly enhance the accuracy of socio-economic impact of urban flood events and, therefore, can be of great importance for flood disaster management.</p>  ...  Moreover, information on door threshold dimensions, for example, cannot be extracted from EPC documents.  ... 
doi:10.5194/isprs-archives-xlii-3-w8-429-2019 fatcat:edakslmnivgazpsufj7pcfdqym

SEDA_Lab: Towards a Laboratory for Socio-Economic Data Analysis [chapter]

Johnny Ryan, Dirk Heilmann, Siegfried Handschuh
2013 IFIP Advances in Information and Communication Technology  
Based on these data, and on the state-of-the-art techniques in knowledge extraction and processing, we intend to deploy robust and high performance data analytics processes.  ...  We focus on two use cases that can produce tangible results in the analysis of socio-economic trends (e.g. unemployment, poverty) and socio-economic events (e.g. election tracking, bankruptcy) enabling  ...  Trend detection is complementary to event detection, as trends can lead to accurately predicting events even before they happen.  ... 
doi:10.1007/978-3-642-40543-3_75 fatcat:uj6ji6nalnfqxapzjjpdeyoira

A language-independent neural network for event detection

Xiaocheng Feng, Bing Qin, Ting Liu
2018 Science China Information Sciences  
CNN for event trigger detection. (8) FN [37] , Liu's FN-Based approach leverages the annotated corpus of FrameNet to alleviate data sparseness problem of event detection based on the observation that  ...  Related work Event detection is a fundamental problem in information extraction and NLP [11, 20] , which aims to detect the event trigger of a sentence [9] .  ... 
doi:10.1007/s11432-017-9359-x fatcat:fm5i4r7nnvglpmijzfhz2c4mqa
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