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Query-Dependent Contextualization of Streaming Data [chapter]

Nikos Voskarides, Daan Odijk, Manos Tsagkias, Wouter Weerkamp, Maarten de Rijke
2014 Lecture Notes in Computer Science  
We propose a method for linking entities in a stream of short textual documents that takes into account context both inside a document and inside the history of documents seen so far.  ...  Our results demonstrate the effectiveness of combining entity ranking functions that take into account context, which is further boosted by 6% when we use an informed global control function.  ...  We propose a query-dependent contextualization approach tailored for streaming text.  ... 
doi:10.1007/978-3-319-06028-6_80 fatcat:pqluzzbmdfeybakfek5mtar4mi

Design of RFID Middleware Based on Complex Event Processing

Liang Dong, Dong Wang, Huanye Sheng
2006 2006 IEEE Conference on Cybernetics and Intelligent Systems  
This RFID technology has brought a revolution in data collection, thus putting forward real time constraints in middleware architectural design.  ...  This paper introduces Complex Event Processing, an emerging technology for building and managing information systems, to discover, understand and report the meaningful events within processing streams.  ...  of data from the stream source.  ... 
doi:10.1109/iccis.2006.252346 fatcat:be54v77bendmfahqdw3nojuayi

Top-k Context-Aware Queries on Streams [chapter]

Loïc Petit, Sandra de Amo, Claudia Roncancio, Cyril Labbé
2012 Lecture Notes in Computer Science  
This paper improves the existing work on data stream query-answering personalization by proposing a solution to express and handle contextual preferences together with a large variety of queries including  ...  Preference queries have been largely studied for relational systems but few proposals exist for stream data systems.  ...  Echenim of the LIG laboratory for their support.  ... 
doi:10.1007/978-3-642-32600-4_29 fatcat:b3atx2igzjfejd4djss7qzkham

CityPulse: Large Scale Data Analytics Framework for Smart Cities

Dan Puiu, Payam Barnaghi, Ralf Tonjes, Daniel Kumper, Muhammad Intizar Ali, Alessandra Mileo, Josiane Xavier Parreira, Marten Fischer, Sefki Kolozali, Nazli Farajidavar, Feng Gao, Thorben Iggena (+4 others)
2016 IEEE Access  
data and social media data streams.  ...  detection, quality assessment, contextual filtering, and decision support.  ...  The type of events the Contextual Filtering subscribes to are application-specific and are in part dependent on the domain (determined at design-time), and in part contextualized, depending on the specific  ... 
doi:10.1109/access.2016.2541999 fatcat:zpqzmyli7rdz7gktmedbvwovb4

PQMPMS: A Preference-enabled Querying Mechanism for Personalized Mobile Search [chapter]

Beibei Hu, Yves Vanrompay, Marie-Aude Aufaure
2013 Lecture Notes in Computer Science  
To further compute personalized answers, we aim to continuously collect the ratings given by the user's friends regarding relevant topics from stream-based data sources such as Twitter.  ...  A key challenge for personalized mobile search is to tailor the answers to the specific user by considering her contextual situation.  ...  Continuous querying social semantic data. Social data as feeds and microblogs are adapted to publish information in real-time stream through social networking Web site [1] .  ... 
doi:10.1007/978-3-642-39666-3_21 fatcat:j7igtlzbm5e55eu3bu3vht7ycq

Report on the 8th International Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE'14)

Malu Castellanos, Umeshwar Dayal, Nesime Tatbul, Damianos Chatziantoniou, Qiming Chen
2015 SIGMOD record  
The workshop closed with a session that consisted of the two remaining papers -one on exploratory OLAP over linked data and another on data stream partitioning.  ...  The workshop developed as follows: After the o cial opening of the workshop, two papers were presented -one on BI analytics on graph-structured data and another on contextual analysis in temporal databases  ...  ACKNOWLEDGEMENTS We would like to thank all the authors of submitted papers for their interest in the workshop and their high-quality submissions, as well as the distinguished PC members for their dedicated  ... 
doi:10.1145/2854006.2854019 fatcat:sxwbkrrwizacljluuejsmgvqpa

Image Similarity: From Syntax to Weak Semantics Using Multimodal Features with Application to Multimedia Retrieval

Jukka Perkiö, Antti Tuominen, Petri Myllymäki
2009 2009 International Conference on Multimedia Information Networking and Security  
Similarity can be defined at two levels: at the syntactic (lower, context-free) level and at the semantic (higher, contextual) level.  ...  We examine the use of very simple syntactic image features combined with other multimodal features to derive a similarity measure that captures the weak semantics of an image.  ...  ACKNOWLEDGMENTS This work was supported in part by the European Union under the CLASS project and in part by the IST Programme of the European Community under the PASCAL Network of Excellence.  ... 
doi:10.1109/mines.2009.271 fatcat:2tb3rbxbwjhvfklib265zelgyy

Cross-domain Sentiment Classification with Bidirectional Contextualized Transformer Language Models

Batsergelen Myagmar, Jie Li, Shigetomo Kimura
2019 IEEE Access  
Our results show that such bidirectional contextualized language models outperform the previous state-of-the-arts methods for crossdomain sentiment classification while using up to 120 times less data.  ...  sequence data.  ...  During fine-tuning, the query stream is thrown away and the input data is represented with the content stream.  ... 
doi:10.1109/access.2019.2952360 fatcat:3qyugxpeqjbcxmiscuuko5rnfm

Real-time High Performance Anomaly Detection over Data Streams

Dimitrije Jankov, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, Chris Jermaine
2017 Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems - DEBS '17  
In this paper, we propose a framework to discover a new type of anomaly called contextual collective anomaly over a collection of data streams in real time.  ...  This problem becomes more di cult in the Big Data era as the data scale increases dramatically and the type of anomalies gets more complicated.  ...  The data instances sit in Si can have any number of dimensions, depending on the concrete applications.  ... 
doi:10.1145/3093742.3095102 dblp:conf/debs/JankovSMTJ17 fatcat:fe2do3y3jffald7udxkdyayhre

RSECM: Robust Search Engine using Context-based Mining for Educational Big Data

D. Pratiba, G. Shobha
2016 International Journal of Advanced Computer Science and Applications  
RSECM generates its own massive stream of educational big data and performs the efficient search of data.  ...  Outcome exhibits RSECM outperforms SQL based approaches concerning faster retrieval of the dynamic user-defined query.  ...  The second step is to convert the user query to the Hbase query, where depending on the number of the words, it generates multiple HBase queries.  ... 
doi:10.14569/ijacsa.2016.071206 fatcat:vjidtmgrnbajrpsvhprdlkkxx4

Distilling useful clones by contextual differencing

Zhenchang Xing, Yinxing Xue, Stan Jarzabek
2013 2013 20th Working Conference on Reverse Engineering (WCRE)  
Our approach represents context of clones as program dependence graphs, and applies a graph differencing technique to identify required contextual differences of clones.  ...  We implemented a tool called CloneDifferentiator that identifies contextual differences of clones and allows developers to formulate queries to distill candidate clones that are useful for a given refactoring  ...  the next byte of data from a specific type of input stream.  ... 
doi:10.1109/wcre.2013.6671285 dblp:conf/wcre/XingXJ13 fatcat:q4v65w5ecreyzoiuhn5rwtr7ey

A Personal Storytelling about Your Favorite Data

Cyril Labbé, Claudia Roncancio, Damien Bras
2015 Proceedings of the 15th European Workshop on Natural Language Generation (ENLG)  
A controlled use of omnipresent data can leverage a potential of services never reached before. In this paper, we propose a user driven approach to take advantage of massive data streams.  ...  Our solution, named Stream2Text, relies on a personalized and continuous refinement of data to generate texts (in natural language) that provide a tailored synthesis of relevant data.  ...  Motivation and running example This work adopts an unified model to query persistent relational data and streams. A precise definition of streams and relational data is given in section 4.  ... 
doi:10.18653/v1/w15-4727 dblp:conf/enlg/LabbeRB15 fatcat:5up2go2umfgkxpolh4v6cbnpym

Context-driven Granular Disclosure Control for Internet of Things Applications

Arezou Soltani Panah, Ali Yavari, Ron van Schyndel, Dimitrios Georgakopoulos, Xun Yi
2017 IEEE Transactions on Big Data  
Then, we customize our framework for a smart vehicle system and make use of data stream watermarking techniques to protect privacy at different stages of the data lifecycle.  ...  One such technique is called data obfuscation in which data is deliberately modified to blur the sensitive information, while preserving the data utility.  ...  A contextual query is defined as a query with contextual information being passed in the search query, such as role or spatiotemporal attributes of data requester.  ... 
doi:10.1109/tbdata.2017.2737463 fatcat:jmfrdvwkybf4ndfipc3j7cjoqy

A New Approach for Context Based Indexing in IR System Using BST

Pooja Bhardwaj, Rajbala Tanwar, Renu Singla
2014 International Journal of Engineering Trends and Technoloy  
Increased precision accounts to the delivery of information that is relevant to the search query, whereas increased recall accounts to the delivery of all the relevant information.  ...  Experiments results shows that in this IR system the value of precision has been improved and user get quality information for search query.  ...  A key characteristic of such systems is that the degree of document-query matching depends on the number of shared keywords.  ... 
doi:10.14445/22315381/ijett-v11p279 fatcat:btru5tblwzhcporl6okfnigo4u

Real-Time Index Authentication for Event-Oriented Surveillance Video Query using Blockchain [article]

Seyed Yahya Nikouei, Ronghua Xu, Deeraj Nagothu, Yu Chen, Alexander Aved, Erik Blasch
2018 arXiv   pre-print
It is ideal to generate pattern indexes in a real-time, on-site manner on the video streaming instead of depending on the batch processing at the cloud centers.  ...  The on-site edge devices collect the information sensed in format of frames and extracts useful features. The near-site fog nodes conduct the contextualization and classification of the features.  ...  Generating pattern indexes in a real-time, on-site, and over big data manner on the video streaming instead of depending on the batch processing at the cloud centers is a strategical advantage for system  ... 
arXiv:1807.06179v1 fatcat:h3qjfdr6bjfs3i6i6b3xml4dxi
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