Academic literature on the topic 'Semantics - Data processing. eng'

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Journal articles on the topic "Semantics - Data processing. eng"

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Tutzauer, P., and N. Haala. "PROCESSING OF CRAWLED URBAN IMAGERY FOR BUILDING USE CLASSIFICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 143–49. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-143-2017.

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Recent years have shown a shift from pure geometric 3D city models to data with semantics. This is induced by new applications (e.g. Virtual/Augmented Reality) and also a requirement for concepts like Smart Cities. However, essential urban semantic data like building use categories is often not available. We present a first step in bridging this gap by proposing a pipeline to use crawled urban imagery and link it with ground truth cadastral data as an input for automatic building use classification. We aim to extract this city-relevant semantic information automatically from Street View (SV) i
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Terziyan, Vagan, and Anton Nikulin. "Semantics of Voids within Data: Ignorance-Aware Machine Learning." ISPRS International Journal of Geo-Information 10, no. 4 (2021): 246. http://dx.doi.org/10.3390/ijgi10040246.

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Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known facts) as an input for learning. We want to challenge the indispensability of this approach, and we su
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Lin, Yi, Hongwei Ding, and Yang Zhang. "Prosody Dominates Over Semantics in Emotion Word Processing: Evidence From Cross-Channel and Cross-Modal Stroop Effects." Journal of Speech, Language, and Hearing Research 63, no. 3 (2020): 896–912. http://dx.doi.org/10.1044/2020_jslhr-19-00258.

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Purpose Emotional speech communication involves multisensory integration of linguistic (e.g., semantic content) and paralinguistic (e.g., prosody and facial expressions) messages. Previous studies on linguistic versus paralinguistic salience effects in emotional speech processing have produced inconsistent findings. In this study, we investigated the relative perceptual saliency of emotion cues in cross-channel auditory alone task (i.e., semantics–prosody Stroop task) and cross-modal audiovisual task (i.e., semantics–prosody–face Stroop task). Method Thirty normal Chinese adults participated i
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Bhatt, Nirav, and Amit Thakkar. "An efficient approach for low latency processing in stream data." PeerJ Computer Science 7 (March 10, 2021): e426. http://dx.doi.org/10.7717/peerj-cs.426.

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Stream data is the data that is generated continuously from the different data sources and ideally defined as the data that has no discrete beginning or end. Processing the stream data is a part of big data analytics that aims at querying the continuously arriving data and extracting meaningful information from the stream. Although earlier processing of such stream was using batch analytics, nowadays there are applications like the stock market, patient monitoring, and traffic analysis which can cause a drastic difference in processing, if the output is generated in levels of hours and minutes
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Huynh, Dat, and Sy Nguyen-Ky. "Engaging Building Automation Data Visualisation Using Building Information Modelling and Progressive Web Application." Open Engineering 10, no. 1 (2020): 434–42. http://dx.doi.org/10.1515/eng-2020-0054.

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AbstractThe integration of the building information modelling (BIM) and assets database has enabled a potential pathway for building stakeholders to add value to the building lifecycle management (BLM) processes. However, the obtaining, storing, processing, and distributing of data have not been ratified in a detailed and semantic manner in any official guideline. This paper suggests a framework for the efficient development of an interoperable visualisation of a building “digital twin” through an intuitive interface, to contribute to the idea above. The framework was applied in two case studi
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Schuetz, C. G., B. Neumayr, M. Schrefl, E. Gringinger, and S. Wilson. "Semantics-based summarisation of ATM information." Aeronautical Journal 123, no. 1268 (2019): 1639–65. http://dx.doi.org/10.1017/aer.2019.74.

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ABSTRACTPilot briefings, in their traditional form, drown pilots in a sea of information. Rather than unfocused swathes of air traffic management (ATM) information, pilots require only the information for their specific flight, preferably with an emphasis on the most important information. In this paper, we introduce the notion of ATM information cubes – in analogy to the well-established concept of Online analytical processing (OLAP) cubes in data warehousing. We propose a framework with merge and abstraction operations for the combination and summarization of the information in ATM informati
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Lutfallah, Susan, Candice Fast, Chitra Rangan, and Lori Buchanan. "Semantic neighbourhoods." Mental Lexicon 13, no. 3 (2018): 388–93. http://dx.doi.org/10.1075/ml.18015.lut.

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Abstract The contributions of semantic processing have come under increasing attention in recent years (Yap, Pexman, Wellsby, Hargreaves, & Huff, 2012), and variables that measure the semantic content of words are a requirement of this increased experimental attention. The density and size of semantic neighborhoods derived from computational models have been shown to predict reaction times across a range of psycholinguistic tasks (e.g., Danguecan & Buchanan, 2016), and the distance between two words in semantic space has been shown to predict priming (Kenett, Levi, Anaki & Faust, 2
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DEZFULI, MOHAMMAD G., and MOSTAFA S. HAGHJOO. "WD-PWS: THE FIRST SEMANTICS FOR QUERYING OVER PROBABILISTIC DATA STREAMS WITH CONTINUOUS DISTRIBUTIONS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 21, no. 05 (2013): 695–722. http://dx.doi.org/10.1142/s0218488513500335.

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Many emerging applications need continuous querying over uncertain event streams, mostly for online monitoring. These streaming uncertain events may come from radars, sensors, or even software hooks. The uncertainty is usually due to measurement errors, inherent ambiguities and privacy preserving reasons. To cover new requirements, we have designed and implemented a new system called Probabilistic Data Stream Management System (PDSMS) in Ref. 1. PDSMS is a data processing engine which runs continuous queries over probabilistic streams. However, lack of a semantics for probabilistic databases w
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Rubí, Jesús Noel Sárez, and Paulo Roberto de Lira Gondim. "Interoperable Internet of Medical Things platform for e-Health applications." International Journal of Distributed Sensor Networks 16, no. 1 (2020): 155014771988959. http://dx.doi.org/10.1177/1550147719889591.

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The development of information and telecommunication technologies has given rise to new platforms for e-Health. However, some difficulties have been detected since each manufacturer implements its communication protocols and defines their data formats. A semantic incongruence is observed between platforms since no common healthcare domain vocabulary is shared between manufacturers and stakeholders. Despite the existence of standards for semantic and platform interoperability (e.g. openEHR for healthcare, Semantic Sensor Network for Internet of Medical Things platforms, and machine-to-machine s
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Ponciano, Jean-Jacques, Claire Prudhomme, and Frank Boochs. "From Acquisition to Presentation—The Potential of Semantics to Support the Safeguard of Cultural Heritage." Remote Sensing 13, no. 11 (2021): 2226. http://dx.doi.org/10.3390/rs13112226.

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The signature of the 2019 Declaration of Cooperation on advancing the digitization of cultural heritage in Europe shows the important role that the 3D digitization process plays in the safeguard and sustainability of cultural heritage. The digitization also aims at sharing and presenting cultural heritage. However, the processing steps of data acquisition to its presentation requires an interdisciplinary collaboration, where understanding and collaborative work is difficult due to the presence of different expert knowledge involved. This study proposes an end-to-end method from the cultural da
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Dissertations / Theses on the topic "Semantics - Data processing. eng"

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Marques, Caio Miguel. "Pangea - Arquitetura semântica para a integração de dados e modelos geoespaciais na Web /." São José do Rio Preto : [s.n.], 2010. http://hdl.handle.net/11449/98654.

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Orientador: Ivan Rizzo Guilherme<br>Banca: Marilde Terezinha Prado Santos<br>Banca: Carlos Roberto Valêncio<br>Resumo: Em muitas áreas do conhecimento e da atividade humana é requerida, impreterivelmente, a integração de informações geográficas. Atualmente, grande quantidade dessas informações geográficas estão publicadas na Web, por atores diversos, indo desde instituições governamentais, academia, até cidadãos comuns. Esses atores publicam dados geográficos em diversos formatos e utilizando tecnologias variadas. Neste contexto, apesar da enorme quantidade de dados e modelos geográficos publi
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鄧偉明 and Wai-ming Tang. "Semantics of authentication in workflow security." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B30110828.

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Sax, Matthias J. "Performance Optimizations and Operator Semantics for Streaming Data Flow Programs." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21424.

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Unternehmen sammeln mehr Daten als je zuvor und müssen auf diese Informationen zeitnah reagieren. Relationale Datenbanken eignen sich nicht für die latenzfreie Verarbeitung dieser oft unstrukturierten Daten. Um diesen Anforderungen zu begegnen, haben sich in der Datenbankforschung seit dem Anfang der 2000er Jahre zwei neue Forschungsrichtungen etabliert: skalierbare Verarbeitung unstrukturierter Daten und latenzfreie Datenstromverarbeitung. Skalierbare Verarbeitung unstrukturierter Daten, auch bekannt unter dem Begriff "Big Data"-Verarbeitung, hat in der Industrie schnell Einzug erhalten. G
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Giese, Holger, Stephan Hildebrandt, and Leen Lambers. "Toward bridging the gap between formal semantics and implementation of triple graph grammars." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4521/.

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The correctness of model transformations is a crucial element for the model-driven engineering of high quality software. A prerequisite to verify model transformations at the level of the model transformation specification is that an unambiguous formal semantics exists and that the employed implementation of the model transformation language adheres to this semantics. However, for existing relational model transformation approaches it is usually not really clear under which constraints particular implementations are really conform to the formal semantics. In this paper, we will bridge this gap
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Nedas, Konstantinos A. "Semantic Similarity of Spatial Scenes." Fogler Library, University of Maine, 2006. http://www.library.umaine.edu/theses/pdf/NedasKA2006.pdf.

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Wong, Ping-wai, and 黃炳蔚. "Semantic annotation of Chinese texts with message structures based on HowNet." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38212389.

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Herre, Heinrich, and Axel Hummel. "A paraconsistent semantics for generalized logic programs." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4149/.

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We propose a paraconsistent declarative semantics of possibly inconsistent generalized logic programs which allows for arbitrary formulas in the body and in the head of a rule (i.e. does not depend on the presence of any specific connective, such as negation(-as-failure), nor on any specific syntax of rules). For consistent generalized logic programs this semantics coincides with the stable generated models introduced in [HW97], and for normal logic programs it yields the stable models in the sense of [GL88].
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Lamprecht, Anna-Lena, Tiziana Margaria, and Bernhard Steffen. "Bio-jETI : a framework for semantics-based service composition." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2010/4506/.

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Background: The development of bioinformatics databases, algorithms, and tools throughout the last years has lead to a highly distributedworld of bioinformatics services. Without adequatemanagement and development support, in silico researchers are hardly able to exploit the potential of building complex, specialized analysis processes from these services. The Semantic Web aims at thoroughly equipping individual data and services with machine-processable meta-information, while workflow systems support the construction of service compositions. However, even in this combination, in silico rese
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Harrison, Dave. "Functional real-time programming : the language Ruth and its semantics." Thesis, University of Stirling, 1988. http://hdl.handle.net/1893/12116.

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Real-time systems are amongst the most safety critical systems involving computer software and the incorrect functioning of this software can cause great damage, up to and including the loss of life. If seems sensible therefore to write real-time software in a way that gives us the best chance of correctly implementing specifications. Because of the high level of functional programming languages, their semantic simplicity and their amenability to formal reasoning and correctness preserving transformation it thus seems natural to use a functional language for this task. This thesis explores the
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Otten, Frederick John. "Using semantic knowledge to improve compression on log files." Thesis, Rhodes University, 2008. http://eprints.ru.ac.za/1660/.

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Books on the topic "Semantics - Data processing. eng"

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Operational semantics for timed systems: A non-standard approach to uniform modeling of timed and hybrid systems. Springer, 2005.

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Words and phrases: Corpus studies of lexical semantics. Blackwell, 2002.

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Palmer, Martha Stone. Semantic processing for finite domains. Cambridge University Press, 1990.

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1944-, Raskin Victor, ed. Ontological semantics. MIT Press, 2004.

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Egg, Markus. Flexible semantics for reinterpretation phenomena. CSLI Publications, 2006.

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Egg, Markus. Flexible semantics for reinterpretation phenomena. Center for the Study of Language and Information, 2005.

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David, Hutchison. Journal on Data Semantics XII. Springer Berlin Heidelberg, 2009.

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Spaccapietra, S. Journal on Data Semantics XV. Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Lesperance, Yves. Toward a computational interpretation of situation semantics. Computer Systems Research Institute, University of Toronto, 1986.

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Fox, Chris. Foundations of intensional semantics. Blackwell Pub., 2005.

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Book chapters on the topic "Semantics - Data processing. eng"

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Torres, Miguel, Rolando Quintero, Marco Moreno, and Frederico Fonseca. "Ontology-Driven Description of Spatial Data for Their Semantic Processing." In GeoSpatial Semantics. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11586180_18.

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Torre-Bastida, Ana I. "Incremental SPARQL Query Processing." In The Semantic Web: Semantics and Big Data. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8_57.

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Sikström, Sverker, Oscar N. E. Kjell, and Katarina Kjell. "SemanticExcel.com: An Online Software for Statistical Analyses of Text Data Based on Natural Language Processing." In Statistical Semantics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37250-7_6.

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Scharrenbach, Thomas, Jacopo Urbani, Alessandro Margara, Emanuele Della Valle, and Abraham Bernstein. "Seven Commandments for Benchmarking Semantic Flow Processing Systems." In The Semantic Web: Semantics and Big Data. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8_21.

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Levaire, Jean-Luc. "Semantics and compilation of the data-parallel switch statement." In Parallel Processing: CONPAR 92—VAPP V. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55895-0_447.

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Albrecht, Meike, Edith Buchholz, Antje Düsterhöft, and Bernhard Thalheim. "An informal and efficient approach for obtaining semantic constraints using sample data and natural language processing." In Semantics in Databases. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0035003.

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Gerner, Philippe, and Eric Violard. "A Theoretical Framework of Data Parallelism and Its Operational Semantics." In Euro-Par 2000 Parallel Processing. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44520-x_92.

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Mamouras, Konstantinos. "Semantic Foundations for Deterministic Dataflow and Stream Processing." In Programming Languages and Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44914-8_15.

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AbstractWe propose a denotational semantic framework for deterministic dataflow and stream processing that encompasses a variety of existing streaming models. Our proposal is based on the idea that data streams, stream transformations, and stream-processing programs should be classified using types. The type of a data stream is captured formally by a monoid, an algebraic structure with a distinguished binary operation and a unit. The elements of a monoid model the finite fragments of a stream, the binary operation represents the concatenation of stream fragments, and the unit is the empty fragment. Stream transformations are modeled using monotone functions on streams, which we call stream transductions. These functions can be implemented using abstract machines with a potentially infinite state space, which we call stream transducers. This abstract typed framework of stream transductions and transducers can be used to (1) verify the correctness of streaming computations, that is, that an implementation adheres to the desired behavior, (2) prove the soundness of optimizing transformations, e.g. for parallelization and distribution, and (3) inform the design of programming models and query languages for stream processing. In particular, we show that several useful combinators can be supported by the full class of stream transductions and transducers: serial composition, parallel composition, and feedback composition.
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Haarmann, Stephan, and Mathias Weske. "Cross-Case Data Objects in Business Processes: Semantics and Analysis." In Lecture Notes in Business Information Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58638-6_1.

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Zhou, Xinbiao, Hongyan Li, Haibin Liu, et al. "Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams." In Advances in Machine Vision, Image Processing, and Pattern Analysis. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11821045_20.

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Conference papers on the topic "Semantics - Data processing. eng"

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Liu, Hui, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, and Xiaodan Zhu. "End-to-End Transition-Based Online Dialogue Disentanglement." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/535.

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Dialogue disentanglement aims to separate intermingled messages into detached sessions. The existing research focuses on two-step architectures, in which a model first retrieves the relationships between two messages and then divides the message stream into separate clusters. Almost all existing work puts significant efforts on selecting features for message-pair classification and clustering, while ignoring the semantic coherence within each session. In this paper, we introduce the first end-to- end transition-based model for online dialogue disentanglement. Our model captures the sequential
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Kuka, Christian, and Daniela Nicklas. "Enriching sensor data processing with quality semantics." In 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS). IEEE, 2014. http://dx.doi.org/10.1109/percomw.2014.6815246.

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Arora, Vaibhav, Faisal Nawab, Divyakant Agrawal, and Amr El Abbadi. "Typhon: Consistency Semantics for Multi-Representation Data Processing." In 2017 IEEE 10th International Conference on Cloud Computing (CLOUD). IEEE, 2017. http://dx.doi.org/10.1109/cloud.2017.87.

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Ge, Tingjian. "Join queries on uncertain data: Semantics and efficient processing." In 2011 IEEE International Conference on Data Engineering (ICDE 2011). IEEE, 2011. http://dx.doi.org/10.1109/icde.2011.5767888.

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Ku, Tao, YunLong Zhu, and KunYuan Hu. "Semantics-Based Complex Event Processing for RFID Data Streams." In The First International Symposium on Data, Privacy, and E-Commerce (ISDPE 2007). IEEE, 2007. http://dx.doi.org/10.1109/isdpe.2007.9.

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Pavlick, Ellie, Johan Bos, Malvina Nissim, Charley Beller, Benjamin Van Durme, and Chris Callison-Burch. "Adding Semantics to Data-Driven Paraphrasing." In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/p15-1146.

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Lin, Chia-Ching, Yu-Chiang Frank Wang, Chin-Laung Lei, and Kuan-Ta Chen. "Semantics-Guided Data Hallucination for Few-Shot Visual Classification." In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803420.

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Kim, HyeongSik, Padmashree Ravindra, and Kemafor Anyanwu. "A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8257927.

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Quoc, Hoan Nguyen Mau, and Danh Le Phuoc. "An elastic and scalable spatiotemporal query processing for linked sensor data." In SEMANTiCS '15: 11th International Conference on Semantic Systems. ACM, 2015. http://dx.doi.org/10.1145/2814864.2814869.

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Keppmann, Felix Leif, Maria Maleshkova, and Andreas Harth. "Adaptable Interfaces, Interactions, and Processing for Linked Data Platform Components." In Semantics2017: Semantics 2017 - 13th International Conference on Semantic Systems. ACM, 2017. http://dx.doi.org/10.1145/3132218.3132243.

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