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A Reference Model for Big Data Technologies [chapter]

Edward Curry, Andreas Metzger, Arne J. Berre, Andrés Monzón, Alessandra Boggio-Marzet
<span title="">2021</span> <i title="Springer International Publishing"> The Elements of Big Data Value </i> &nbsp;
The BDV Reference Model may serve as a common reference framework to locate big data technologies on the overall IT stack.  ...  Within this chapter, we detail the reference model in more detail and show how it can be used to manage a portfolio of research and innovation projects.  ...  This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under grant no.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-68176-0_6">doi:10.1007/978-3-030-68176-0_6</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kctowlvgkjar7bchscz2vh4m64">fatcat:kctowlvgkjar7bchscz2vh4m64</a> </span>
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Linked Data for Learning Analytics: The Case of the LAK Dataset [chapter]

Davide Taibi, Stefan Dietze
<span title="">2017</span> <i title="Society for Learning Analytics Research (SoLAR)"> Handbook of Learning Analytics </i> &nbsp;
The opportunities of learning analytics (LA) are strongly constrained by the availability and quality of appropriate data.  ...  While the interpretation of data is one of the key requirefor facilitating both interpretability and reusability of data on the Web and as such, are a fundamental ingredient in the widespread adoption  ...  This facilitates, for instance, an 10 being 11 or co-references in other datasets such as Freebase. 12 These principles have enabled the emergence of a LINKED DATA IN LEARNING AND EDUCATION technologies  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18608/hla17.029">doi:10.18608/hla17.029</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jmwnqpum2balfc664k75jpfpmi">fatcat:jmwnqpum2balfc664k75jpfpmi</a> </span>
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The TalkMoves Dataset: K-12 Mathematics Lesson Transcripts Annotated for Teacher and Student Discursive Moves [article]

Abhijit Suresh, Jennifer Jacobs, Charis Harty, Margaret Perkoff, James H. Martin, Tamara Sumner
<span title="2022-04-06">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper describes the TalkMoves dataset, composed of 567 human-annotated K-12 mathematics lesson transcripts (including entire lessons or portions of lessons) derived from video recordings.  ...  According to most educational experts, sustained classroom discourse is a critical component of equitable, engaging, and rich learning environments for students.  ...  Discussion Data availability The TalkMoves application provides one example of how the TalkMoves dataset of lesson transcripts can be utilized to generate reliable deep learning models and incorporate  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.09652v1">arXiv:2204.09652v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2ovrlm7kfrefjfym7innlabe2e">fatcat:2ovrlm7kfrefjfym7innlabe2e</a> </span>
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Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation [chapter]

Bogdan Ionescu, Henning Müller, Mauricio Villegas, Alba García Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Sadid A. Hasan, Yuan Ling, Oladimeji Farri (+8 others)
<span title="">2018</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
ImageCLEF is an ongoing initiative (it started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval with the aim of providing information access to collections of  ...  In 2018, the 16th edition of ImageCLEF ran three main tasks and a pilot task: 1) a caption prediction task that aims at predicting the caption of a figure from the biomedical literature based only on the  ...  Furthermore, we learned that lifelogging is following the trend in data analytics, meaning that participants are using deep learning in many cases.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-98932-7_28">doi:10.1007/978-3-319-98932-7_28</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aehcejex5babrn4jpl6qsfdiye">fatcat:aehcejex5babrn4jpl6qsfdiye</a> </span>
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Algorithmic Fairness Datasets: the Story so Far [article]

Alessandro Fabris, Stefano Messina, Gianmaria Silvello, Gian Antonio Susto
<span title="2022-05-06">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Progress in fair Machine Learning hinges on data, which can be appropriately used only if adequately documented.  ...  In this work, we target data documentation debt by surveying over two hundred datasets employed in algorithmic fairness research, and producing standardized and searchable documentation for each of them  ...  Acknowledgements The authors would like to thank the following researchers and dataset creators for the useful feedback on the data briefs: Alain Barrat, Luc Behaghel, Asia Biega, Marko Bohanec, Chris  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.01711v2">arXiv:2202.01711v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5hf4a42pubc5vnt7tw3al4m5bq">fatcat:5hf4a42pubc5vnt7tw3al4m5bq</a> </span>
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Interactive Exploration of Implicit and Explicit Relations in Faceted Datasets

Jian Zhao, Christopher Collins, Fanny Chevalier, Ravin Balakrishnan
<span title="">2013</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hjrujdrg7zaghbdsp5pdzq7cmm" style="color: black;">IEEE Transactions on Visualization and Computer Graphics</a> </i> &nbsp;
It was mostly from him that I learned how to be a good researcher and how to explore the world with novel approaches and critical thinking.  ...  This dissertation investigates issues and techniques of multi-focus visual exploration through five design studies, touching various types of data in a range of application domains. iii including those  ...  ACKNOWLEDGEMENTS Over the last six years, my doctoral study has been an invaluable experience in my life. It has been a challenging adventure, and I was fortune to receive support from many people.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tvcg.2013.167">doi:10.1109/tvcg.2013.167</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24051774">pmid:24051774</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/43xwwk6lezbqzk2bf65ivvkp5u">fatcat:43xwwk6lezbqzk2bf65ivvkp5u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706060300/http://www.cs.toronto.edu/%7Ejianzhao/papers/thesis-zhao.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/92/9092f44d2dec4154d59c95d5a4e47c1759ba3384.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tvcg.2013.167"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge

Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens
<span title="2017-01-30">2017</span> <i title="PeerJ"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zs2czkfyybggbpvr26rbyxpsjy" style="color: black;">PeerJ Computer Science</a> </i> &nbsp;
This paper reviews lessons learned from both (i) the overall organization of the Semantic Publishing Challenge, regarding the definition of the tasks, building the input dataset and forming the evaluation  ...  data, the Semantic Web Evaluation Challenges series, co-located with the ESWC Semantic Web Conference, aims to compare them based on their output, namely the produced dataset.  ...  Lessons learned from models and ontologies In this section, we discuss the different solutions with respect to the data model, the vocabularies and the way they used them to annotate the data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj-cs.105">doi:10.7717/peerj-cs.105</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rwn5zxnrnjes3c7dyg5x24hps4">fatcat:rwn5zxnrnjes3c7dyg5x24hps4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170212070803/https://peerj.com/articles/cs-105.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fd/96/fd96da49d25b6f42ff97462561290c9907d6c159.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7717/peerj-cs.105"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Evaluation of a Semi-automated Semantic Annotation Approach for Bootstrapping the Analysis of Large-Scale Web Service Networks

Shahab Mokarizadeh, Peep Kungas, Mihhail Matskin
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3p37zxdckrfqna7l5w5hlafps4" style="color: black;">2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology</a> </i> &nbsp;
In recent years many methods have been proposed, which require semantic annotations of Web services as an input.  ...  This paper describes an evaluation framework for measuring the quality of semantic annotations of large number of Web services descriptions provided in form of WSDL and XSD documents.  ...  Such analytical metrics can be considered as a mean to track the effectiveness of adopted matching scheme and preceding ontology learning mechanism in web service semantic annotation paradigm. IV.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wi-iat.2011.237">doi:10.1109/wi-iat.2011.237</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/webi/MokarizadehKM11.html">dblp:conf/webi/MokarizadehKM11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sxgjfqcyo5bohm57hadoticiay">fatcat:sxgjfqcyo5bohm57hadoticiay</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922012611/http://kth.diva-portal.org/smash/get/diva2:499170/FULLTEXT01" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/08/d0/08d00a19dc46adfde4bfc3c607419800065f8986.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wi-iat.2011.237"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

What can we learn about CNNs from a large scale controlled object dataset? [article]

Ali Borji, Saeed Izadi, Laurent Itti
<span title="2016-01-26">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Moving towards increasingly bigger datasets has been trending in computer vision specially with the emergence of highly popular deep learning models.  ...  researchers to resort to other tricks for training a model.  ...  Acknowledgements: We wish to thank NVIDIA for their generous donation of GPUs used in this study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1512.01320v2">arXiv:1512.01320v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gmrupgvqdvawjozquatorh3td4">fatcat:gmrupgvqdvawjozquatorh3td4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200830000137/https://arxiv.org/pdf/1512.01320v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/1d/451dc5e49fa4542a52eaba73f4b5b2c69ec359bb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1512.01320v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Extracting Semantics from Maintenance Records [article]

Sharad Dixit, Varish Mulwad, Abhinav Saxena
<span title="2021-08-11">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Further, industrial domain experts tend to distrust results from black box machine learning models, especially when the extracted information is used in downstream predictive maintenance analytics.  ...  Our evaluations on a real-world aviation maintenance records dataset show promising results and help identify challenges specific to named entity recognition in the context of noisy industrial data.  ...  Further, industrial domain experts tend to distrust results from black box machine learning models, especially when such extracted semantics are used in downstream predictive maintenance analytics.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.05454v1">arXiv:2108.05454v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2e5eewmllngm7hit2cm4iyerja">fatcat:2e5eewmllngm7hit2cm4iyerja</a> </span>
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Images of the arXiv: Reconfiguring large scientific image datasets

Kynan Tan, Anna Munster, Adrian Mackenzie
<span title="2021-03-03">2021</span> <i title="CA: Journal of Cultural Analytics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dne4rsr2fnaehnga2vtynsy4ae" style="color: black;">Journal of Cultural Analytics</a> </i> &nbsp;
In this article, we suggest ways -including algorithms drawn from machine learning that facilitate visually 'slicing' through the image data and metadata -for exploring large datasets of statistical scientific  ...  By treating all forms of visual material found in scientific publications -whether diagrams, photographs, or instrument data -as bare images, we developed methods for tracking their movements across a  ...  This is not so unlike any work on large datasets and the building of ML or deep learning models.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22148/001c.21374">doi:10.22148/001c.21374</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vhp3c5eicrhpxn5p6ltxcxyw2q">fatcat:vhp3c5eicrhpxn5p6ltxcxyw2q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716143236/https://culturalanalytics.org/article/21374.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/69/65/6965eee818ae846da870212d21467213f34d9573.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22148/001c.21374"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering

Alex Endert
<span title="2016-09-13">2016</span> <i title="Morgan &amp; Claypool Publishers LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3pw2iyyesbdxxaqntxz6tqfcyu" style="color: black;">Synthesis Lectures on Visualization</a> </i> &nbsp;
User interaction in visual analytic systems is critical to enabling visual data exploration.  ...  Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis.  ...  However, a "true undo" of a semantic interaction would be one from which the model learns about the user's analytical reasoning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2200/s00730ed1v01y201608vis007">doi:10.2200/s00730ed1v01y201608vis007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/agf3nmicbveftgdixq6vjblj6e">fatcat:agf3nmicbveftgdixq6vjblj6e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130409145622/http://scholar.lib.vt.edu/theses/available/etd-07112012-123927/unrestricted/Endert_A_D_2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ca/34/ca3484ad08ce326bf741858a45d2adc849d36090.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2200/s00730ed1v01y201608vis007"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications [article]

Lixuan Yang, Alessandro Finamore, Feng Jun, Dario Rossi
<span title="2021-09-27">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In particular, our contribution for (i) is to perform a thorough assessment of state of the art traffic classifiers in commercial-grade settings comprising few thousands of very fine grained application  ...  The increasing success of Machine Learning (ML) and Deep Learning (DL) has recently re-sparked interest towards traffic classification.  ...  For instance, we are currently investigating the possibility to release a highly anonymized version of the dataset used in this paper, as part of Huawei Rapid Analytics & Model Prototyping (RAMP) Data  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.03182v2">arXiv:2104.03182v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pf7ict625vc53kqydgp2tz2eve">fatcat:pf7ict625vc53kqydgp2tz2eve</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210929062857/https://arxiv.org/pdf/2104.03182v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5f/df/5fdf948f423457f5c53dc5991132b4f93dbe05b3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2104.03182v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Experiments in Lifelog Organisation and Retrieval at NTCIR [chapter]

Cathal Gurrin, Hideo Joho, Frank Hopfgartner, Liting Zhou, Rami Albatal, Graham Healy, Duc-Tien Dang Nguyen
<span title="2020-09-02">2020</span> <i title="Springer Singapore"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mo5wpvsapjbtjfxgj63qdty65q" style="color: black;">Evaluating Information Retrieval and Access Tasks</a> </i> &nbsp;
Finally, the lessons learned and challenges within the domain of lifelog retrieval are presented.  ...  personal data archive, called a lifelog.  ...  We also wish to acknowledge the data gatherers who kindly donated their time and data to the dataset releases.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-981-15-5554-1_13">doi:10.1007/978-981-15-5554-1_13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fhsvm3teibelblxn2qapgfbhue">fatcat:fhsvm3teibelblxn2qapgfbhue</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108151400/https://link.springer.com/content/pdf/10.1007%2F978-981-15-5554-1_13.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/23/cf/23cff4dced06d1102c3c0595a1e5b8e95b858c1e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-981-15-5554-1_13"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Adapting Semantic Sensor Networks for Smart Building Diagnosis [chapter]

Joern Ploennigs, Anika Schumann, Freddy Lécué
<span title="">2014</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
complex models for analytics tasks such as prediction and diagnostics.  ...  In this paper we present an architecture and approach that illustrates how semantic sensor networks, semantic web technologies, and reasoning can help in real-world applications to automatically derive  ...  The paper concludes with remarks on the lessons we learned.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-11915-1_20">doi:10.1007/978-3-319-11915-1_20</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/w7t5rymf25fjbl3c76oyy6pemq">fatcat:w7t5rymf25fjbl3c76oyy6pemq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160705050355/http://iswc2014.semanticweb.org:80/raw.githubusercontent.com/lidingpku/iswc2014/master/paper/87970305-adapting-semantic-sensor-networks-for-smart-building-diagnosis.pdf?" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e0/1a/e01a784d8157d56220fea000401c5f8370bdb453.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-319-11915-1_20"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>
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