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Relevant bibliographies by topics / Semantics - Data processing

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Academic literature on the topic 'Semantics - Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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Journal articles on the topic "Semantics - Data processing"

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Thirunarayan, Krishnaprasad, and Amit Sheth. "Semantics-Empowered Big Data Processing with Applications." AI Magazine 36, no. 1 (March 25, 2015): 39–54. http://dx.doi.org/10.1609/aimag.v36i1.2566.

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We discuss the nature of big data and address the role of semantics in analyzing and processing big data that arises in the context of physical-cyber-social systems. To handle volume, we advocate semantic perception that can convert low-level observational data to higher-level abstractions more suitable for decision-making. To handle variety, we resort to semantic models and annotations of data so that intelligent processing can be done independent of heterogeneity of data formats and media. To handle velocity, we seek to use continuous semantics capability to dynamically create event or situa

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Jin, Min. "Semantics in XML Data Processing." Journal of the Korea Academia-Industrial cooperation Society 12, no. 3 (March 31, 2011): 1327–35. http://dx.doi.org/10.5762/kais.2011.12.3.1327.

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Liu, Jun Qiang, and Xiao Ling Guan. "Composite Event Processing for Data Streams and Domain Knowledge." Advanced Materials Research 219-220 (March 2011): 927–31. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.927.

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In recent years the processing of composite event queries over data streams has attracted a lot of research attention. Traditional database techniques were not designed for stream processing system. Furthermore, example continuous queries are often formulated in declarative query language without specifying the semantics. To overcome these deficiencies, this article presents the design, implementation, and evaluation of a system that executes data streams with semantic information. Then, a set of optimization techniques are proposed for handling query. So, our approach not only makes it possib

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Xhafa, Fatos, and Leonard Barolli. "Semantics, intelligent processing and services for big data." Future Generation Computer Systems 37 (July 2014): 201–2. http://dx.doi.org/10.1016/j.future.2014.02.004.

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Ramprasad, R., and C. Jayakumari. "A Novel Approach for Mining Big Data Using Multi-Model Fusion Mechanism (MMFM)." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 5s (June 9, 2023): 484–93. http://dx.doi.org/10.17762/ijritcc.v11i5s.7110.

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Big data processing and analytics require sophisticated systems and cutting-edge methodologies to extract useful data from the available data. Extracted data visualization is challenging because of the processing models' dependence on semantics and classification. To categorize and improve information-based semantics that have accumulated over time, this paper introduces the Multi-model fusion mechanism for data mining (MMFM) approach. Information dependencies are organized based on the links between the data model based on attribute values. This method divides the attributes under considerati

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NISHIMURA, SUSUMU, and ATSUSHI OHORI. "Parallel functional programming on recursively defined data via data-parallel recursion." Journal of Functional Programming 9, no. 4 (July 1999): 427–62. http://dx.doi.org/10.1017/s0956796899003457.

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This article proposes a new language mechanism for data-parallel processing of dynamically allocated recursively defined data. Different from the conventional array-based data- parallelism, it allows parallel processing of general recursively defined data such as lists or trees in a functional way. This is achieved by representing a recursively defined datum as a system of equations, and defining new language constructs for parallel transformation of a system of equations. By integrating them with a higher-order functional language, we obtain a functional programming language suitable for desc

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Boyle, Mary. "Semantic Treatments for Word and Sentence Production Deficits in Aphasia." Seminars in Speech and Language 38, no. 01 (February 2017): 052–61. http://dx.doi.org/10.1055/s-0036-1597256.

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The cognitive domains of language and memory are intrinsically connected and work together during language processing. This relationship is especially apparent in the area of semantics. Several disciplines have contributed to a rich store of data about semantic organization and processing, and several semantic treatments for aphasic word and sentence production impairments have been based on these data. This article reviews the relationships between semantics and memory as they relate to word and sentence production, describes the aphasic language impairments that result from deficits in these

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Sejdiu, Besmir, Florije Ismaili, and Lule Ahmedi. "Integration of Semantics Into Sensor Data for the IoT." International Journal on Semantic Web and Information Systems 16, no. 4 (October 2020): 1–25. http://dx.doi.org/10.4018/ijswis.2020100101.

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The internet of things (IoT) as an evolving technology represents an active scientific research field in recognizing research challenges associated with its application in various domains, ranging from consumer convenience, smart energy, and resource saving to IoT enterprises. Sensors are crucial components of IoT that relay the collected data in the form of the data stream for further processing. Interoperability of various connected digital resources is a key challenge in IoT environments. The enrichment of raw sensor data with semantic annotations using concept definitions from ontologies e

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Nguyen Mau Quoc, Hoan, Martin Serrano, Han Mau Nguyen, John G. Breslin, and Danh Le-Phuoc. "EAGLE—A Scalable Query Processing Engine for Linked Sensor Data." Sensors 19, no. 20 (October 9, 2019): 4362. http://dx.doi.org/10.3390/s19204362.

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Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relationships and unfortunately paid less attention to spatio–temporal correlations. Most semantic approaches do not have spatio–temporal support. Some of them have attempted to provide full spatio–temporal support, but have poor performance for complex spatio–temporal aggregate queries. In addition, while the volume of sensor data is rapidly growing, the c

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Kim, Hyeon Gyu. "Exploiting Window Query Semantics in Scalable Data Stream Processing." International Journal of Control and Automation 8, no. 11 (November 30, 2015): 13–20. http://dx.doi.org/10.14257/ijca.2015.8.11.02.

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Dissertations / Theses on the topic "Semantics - Data processing"

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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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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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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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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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Zhan, Tianjie. "Semantic analysis for extracting fine-grained opinion aspects." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1213.

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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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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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Books on the topic "Semantics - Data processing"

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Palmer, Martha Stone. Semantic processing for finite domains. Cambridge [England]: Cambridge University Press, 1990.

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1954-, Saint-Dizier Patrick, and Viegas Evelyne, eds. Computational lexical semantics. Cambridge [England]: Cambridge University Press, 1995.

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

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

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Fox, Chris. Foundations of intensional semantics. Malden MA: Blackwell Pub., 2005.

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Fass, Dan. Processing metonymy and metaphor. Greenwich, Conn: Ablex Pub. Corp., 1997.

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

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

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C, Bunt Harry, Muskens Reinhard 1953-, and Thijsse Elias, eds. Computing meaning. Dordrecht ; Boston: Kluwer Academic, 1999.

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Nico, Weber, ed. Semantik, Lexikographie und Computeranwendungen. Tübingen: Niemeyer, 1996.

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Book chapters on the topic "Semantics - Data processing"

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Torre-Bastida, Ana I. "Incremental SPARQL Query Processing." In The Semantic Web: Semantics and Big Data, 712–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8_57.

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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, 305–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8_21.

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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, 242–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11586180_18.

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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, 87–103. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37250-7_6.

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Lichtenstein, Tom, and Mathias Weske. "Execution Semantics for Process Choreographies with Data." In Lecture Notes in Business Information Processing, 90–106. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-41623-1_6.

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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, 1–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0035003.

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Oltramari, Alessandro. "An Introduction to Hybrid Semantics: The Role of Cognition in Semantic Resources." In Modeling, Learning, and Processing of Text Technological Data Structures, 97–109. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22613-7_6.

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Levaire, Jean-Luc. "Semantics and compilation of the data-parallel switch statement." In Parallel Processing: CONPAR 92—VAPP V, 491–502. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55895-0_447.

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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, 668–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44520-x_92.

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Grüger, Joscha, Tobias Geyer, David Jilg, and Ralph Bergmann. "SAMPLE: A Semantic Approach for Multi-perspective Event Log Generation." In Lecture Notes in Business Information Processing, 328–40. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27815-0_24.

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AbstractData and process mining techniques can be applied in many areas to gain valuable insights. For many reasons, accessibility to real-world business and medical data is severely limited. However, research, but especially the development of new methods, depends on a sufficient basis of realistic data. Due to the lack of data, this progress is hindered. This applies in particular to domains that use personal data, such as healthcare. With adequate quality, synthetic data can be a solution to this problem. In the procedural field, some approaches have already been presented that generate synthetic data based on a process model. However, only a few have included the data perspective so far. Data semantics, which is crucial for the quality of the generated data, has not yet been considered. Therefore, in this paper we present the multi-perspective event log generation approach SAMPLE that considers the data perspective and, in particular, its semantics. The evaluation of the approach is based on a process model for the treatment of malignant melanoma. As a result, we were able to integrate the semantic of data into the log generation process and identify new challenges.

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Conference papers on the topic "Semantics - Data processing"

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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. New York, NY, USA: 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. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3132218.3132243.

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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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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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Bodziony, Michał, Hubert Krzyżanowski, Łukasz Pięta, and Robert Wrembel. "On discovering semantics of user-defined functions in data processing workflows." In SIGMOD/PODS '21: International Conference on Management of Data. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460866.3461771.

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Ren, Yongli, Gang Li, and Wanlei Zhou. "Recommendation Techniques Based on Off-Line Data Processing a Multifaceted Survey." In 2013 Ninth International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2013. http://dx.doi.org/10.1109/skg.2013.23.

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Karim, Farah, Mohamed Nadjib Mami, Maria-Esther Vidal, and Sören Auer. "Large-scale storage and query processing for semantic sensor data." In WIMS '17: 7th International Conference on Web Intelligence, Mining and Semantics. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3102254.3102260.

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Reports on the topic "Semantics - Data processing"

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Zelenskyi, Arkadii A. Relevance of research of programs for semantic analysis of texts and review of methods of their realization. [б. в.], December 2018. http://dx.doi.org/10.31812/123456789/2884.

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One of the main tasks of applied linguistics is the solution of the problem of high-quality automated processing of natural language. The most popular methods for processing natural-language text responses for the purpose of extraction and representation of semantics should be systems that are based on the efficient combination of linguistic analysis technologies and analysis methods. Among the existing methods for analyzing text data, a valid method is used by the method using a vector model. Another effective and relevant means of extracting semantics from the text and its representation is

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Borgwardt, Stefan, Walter Forkel, and Alisa Kovtunova. Finding New Diamonds: Temporal Minimal-World Query Answering over Sparse ABoxes. Technische Universität Dresden, 2019. http://dx.doi.org/10.25368/2023.223.

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Lightweight temporal ontology languages have become a very active field of research in recent years. Many real-world applications, like processing electronic health records (EHRs), inherently contain a temporal dimension, and require efficient reasoning algorithms. Moreover, since medical data is not recorded on a regular basis, reasoners must deal with sparse data with potentially large temporal gaps. In this paper, we introduce a temporal extension of the tractable language ELH⊥, which features a new class of convex diamond operators that can be used to bridge temporal gaps. We develop a com

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Patwa, B., P. L. St-Charles, G. Bellefleur, and B. Rousseau. Predictive models for first arrivals on seismic reflection data, Manitoba, New Brunswick, and Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329758.

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First arrivals are the primary waves picked and analyzed by seismologists to infer properties of the subsurface. Here we try to solve a problem in a small subsection of the seismic processing workflow: first break picking of seismic reflection data. We formulate this problem as an image segmentation task. Data is preprocessed, cleaned from outliers and extrapolated to make the training of deep learning models feasible. We use Fully Convolutional Networks (specifically UNets) to train initial models and explore their performance with losses, layer depths, and the number of classes. We propose t

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