Academic literature on the topic 'Semantic system'

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Journal articles on the topic "Semantic system"

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Huang, Zhen Hua, and Qiang Fang. "Semantic-Driven Information Recommendation System." Applied Mechanics and Materials 475-476 (December 2013): 1226–29. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.1226.

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Information recommendation systems is the one of the most effective tools to solve the problem of information overload. In this paper, we design SIRSCA, a semantic-driven information recommendation system under cloud architecture. SIRSCA mainly includes four modules: semantics representation of foundation data and user preference informations; indexing mechanism of massive semantic informations under cloud architecture; recommendation approaches based on semantic computation theory; and technologies of dynamic migration under cloud architecture.
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Ahn, Byeongtae. "A Study on Image Search System using Semantics Based on Smartphone." International Journal of Engineering and Advanced Technology 10, no. 5 (2021): 381–85. http://dx.doi.org/10.35940/ijeat.e2841.0610521.

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Image semantic retrieval has been a crux to bridge "semantic gap" between the simple visual features and the abundant semantics delivered by a image. Effective image retrieval using semantics is one of the major challenges in image retrieval. We suggest a semantic retrieval and clustering method of image using image annotation user interface. And also design and implement a image semantic search management system that facilitates image management and semantic retrieval, which fully relies on the MPEG-7 standard as information base, and using a native XML database, which is Berkeley DB XML
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Byeongtae, Ahn. "A Study on Image Search System using Semantics Based on Smartphone." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 5 (2021): 381–85. https://doi.org/10.35940/ijeat.E2841.0610521.

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Image semantic retrieval has been a crux to bridge "semantic gap" between the simple visual features and the abundant semantics delivered by a image. Effective image retrieval using semantics is one of the major challenges in image retrieval. We suggest a semantic retrieval and clustering method of image using image annotation user interface. And also design and implement a image semantic search management system that facilitates image management and semantic retrieval, which fully relies on the MPEG-7 standard as information base, and using a native XML database, which is Berkeley D
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Shyrokov, Volodymyr. "System semantics of explanatory dictionaries." Cognitive Studies | Études cognitives, no. 12 (November 24, 2015): 95–106. http://dx.doi.org/10.11649/cs.2012.007.

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System semantics of explanatory dictionariesSome semantic properties of the language to be followed from the structure of lexicographical systems of big explanatory dictionaries are considered. The hyperchains and hypercycles are determined as the definite kind of automorphisms of the lexicographical system of explanatory dictionary. Some semantic consequencies following from the principles of lexicographic closure and lexicographic completeness are investigated using the hyperchains and hypercycles formalism. The connection between the hypercyle properties of the lexicographical system semant
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Utami, Noor Amalia, and Sailal Arimi. "Semantic of Banjarese Prepositions: Cognitive Semantics." Deskripsi Bahasa 4, no. 2 (2021): 86–93. http://dx.doi.org/10.22146/db.v4i2.4732.

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Spatial system is fundamental in any language. This makes each language has spatial system which in some extent distinctive one another. Study of spatial system commonly found within cognitive linguistics area which takes preposition as object of study as the present research does. Banjarese, as one of local languages in Indonesia, indicates a unique spatial system by having particular spatial particles. Data collection is based on the questionnaire where the respondents are 153 native Banjareses. The result shows that Banjarese have eight spatial prepositions which classified into three categ
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J, I. Christy Eunaicy, and Sundara Vadivelu V. "A SEMWORD based Semantic Secure Content Retrieval System in E-learning." Indian Journal of Science and Technology 16, no. 31 (2023): 2447–57. https://doi.org/10.17485/IJST/v16i31.833.

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Abstract <strong>Objectives:</strong>&nbsp;The semantic e-learning model aims to be the next generation of e-learning as it enables advanced representation, manipulation and re-use of learning materials and knowledge semantics in efficient online learning experiences. The modeling of semantic-based content retrieval for e-learning with secured content. This system will provide users with access to relevant educational resources in an easy-to-use, secure, and anonymous environment using semantic technologies.&nbsp;<strong>Methods:</strong>&nbsp;Semantic Web resource description format is propos
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Liu, Hong Lan, and De Zheng Zhang. "A Probabilistic Propositional Logic System is an Event Semantics for Classical Formal System of Propositional Calculus." Applied Mechanics and Materials 427-429 (September 2013): 1917–23. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1917.

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The well formed formulas (wffs) in classical formal system of propositional calculus (CPC) are only some formal symbols, whose meanings are given by an interpretation. A probabilistic logic system, based on a probabilistic space, is an event semantics for CPC, in which set operations are the semantic interpretations for connectives, event functions are the semantic interpretations for wffs, the event (set) inclusion is the semantic interpretation for tautological implication, and the event equality = is the semantic interpretation for tautological equivalence. CPC is applicable to probabilisti
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Yazaki, Masatomo. "Semantic recognition system." Journal of the Acoustical Society of America 108, no. 3 (2000): 886. http://dx.doi.org/10.1121/1.1319429.

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Hakim, Lukman, and Choirul Huda. "Optimalisasi Proses Klasifikasi Dengan Menambahkan Semantik Pada Kebutuhan Non-Fungsional Berbasis ISO/IEC 25010." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 5 (2023): 1123–28. http://dx.doi.org/10.25126/jtiik.20231057081.

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Kebutuhan non-fungsional (NFRs) memiliki peranan yang sangat penting untuk merancang sebuah sistem. Tetapi, mengidentifikasi NFRs masih menjadi tantangan nyata. NFRs dapat digunakan untuk memastikan apakah sistem sesuai dengan kebutuhan pengguna. Oleh karena itu, dibutuhkan suatu sistem untuk dapat mengidentifikasi NFRs. Penelitian sebelumnya menggunakan dataset dengan jumlah NFRs lebih banyak dibanding kebutuhan fungsional (FRs) memperoleh nilai tinggi. Akan tetapi, faktanya adalah NFRs lebih sedikit dari pada FRs. Penelitian selanjutnya menggunakan dataset dengan jumlah NFRs lebih sedikit di
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Hakim, Lukman, and Choirul Huda. "Optimalisasi Proses Klasifikasi Dengan Menambahkan Semantik Pada Kebutuhan Non-Fungsional Berbasis ISO/IEC 25010." Jurnal Teknologi Informasi dan Ilmu Komputer 10, no. 5 (2023): 1123–28. https://doi.org/10.25126/jtiik.2023107081.

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Kebutuhan non-fungsional (NFRs) memiliki peranan yang sangat penting untuk merancang sebuah sistem. Tetapi, mengidentifikasi NFRs masih menjadi tantangan nyata. NFRs dapat digunakan untuk memastikan apakah sistem sesuai dengan kebutuhan pengguna. Oleh karena itu, dibutuhkan suatu sistem untuk dapat mengidentifikasi NFRs. Penelitian sebelumnya menggunakan dataset dengan jumlah NFRs lebih banyak dibanding kebutuhan fungsional (FRs) memperoleh nilai tinggi. Akan tetapi, faktanya adalah NFRs lebih sedikit dari pada FRs. Penelitian selanjutnya menggunakan dataset dengan jumlah NFRs lebih sedikit di
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Dissertations / Theses on the topic "Semantic system"

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Alvarez, Elma L. "Semantic geographic information system." FIU Digital Commons, 1996. http://digitalcommons.fiu.edu/etd/1262.

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This thesis research describes the design and implementation of a Semantic Geographic Information System (GIS) and the creation of its spatial database. The database schema is designed and created, and all textual and spatial data are loaded into the database with the help of the Semantic DBMS's Binary Database Interface currently being developed at the FIU's High Performance Database Research Center (HPDRC). A friendly graphical user interface is created together with the other main system's areas: displaying process, data animation, and data retrieval. All these components are tightly integr
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Rahimi, Rastgar Sanaz, and Niloufar Razavi. "A System for Building Corpus Annotated With Semantic Roles." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Informationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-20594.

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Semantic role labelling (SRL) is a natural language processing (NLP) technique that maps sentences to semantic representations. This can be used in different NLP tasks. The goal of this master thesis is to investigate how to support the novel method proposed by He Tan for building corpus annotated with semantic roles. The mentioned goal provides the context for developing a general framework of the work and as a result implementing a supporting system based on the framework. Implementation is followed using Java. Defined features of the system reflect the usage of frame semantics in understand
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Noppeney, Uta. "Functional imaging of the semantic system." Thesis, University College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.415281.

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Shi, Lei. "Ontology-based semantic reminiscence support system." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/47388/.

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This thesis addresses the needs of people who find reminiscence helpful in focusing on the development of a computerised reminiscence support system, which facilitates the access to and retrieval of stored memories used as the basis for positive interactions between elderly and young, and also between people with cognitive impairment and members of their family or caregivers. To model users’ background knowledge, this research defines a light weight useroriented ontology and its building principles. The ontology is flexible, and has simplified knowledge structure populated with semantically ho
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Haase, Peter. "Semantic technologies for distributed information systems." Karlsruhe : Univ.-Verl. Karlsruhe, 2006. http://www.uvka.de/univerlag/volltexte/2007/195/.

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Vadaparty, Sirisha Lakshmi. "Semantic tableaux program." CSUSB ScholarWorks, 2006. https://scholarworks.lib.csusb.edu/etd-project/2953.

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This project created a program that takes predicate calculus formulas and creates a visual Semantic Tableaux truth tree, thereby proving or disproving a conclusion. Formal methods used in developing and verifying software and hardware are mathematically based techniques for describing and reasoning about system properties. Such formal methods provide frameworks within which people specify, develop, and verify systems in a systematic, rather than ad hoc, manner. Formal methods include the more specific activities of program specification, program verification and hardware verification.
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Rathod, Ashish. "A messaging system to handle semantic dissonance /." Online version of thesis, 2006. https://ritdml.rit.edu/dspace/handle/1850/3335.

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Jean, Paul Bambanza. "iSEE:A Semantic Sensors Selection System for Healthcare." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59635.

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The massive use of Internet-based connectivity of devices such as smartphones and sensors has led to the emergence of Internet of Things(IoT). Healthcare is one of the areas that IoT-based applications deployment is becoming more successful. However, the deployment of IoT in healthcare faces one major challenge, the selection of IoT devices by stakeholders (for example, patients, caregivers, health professionals and other government agencies) given an amount of available IoT devices based on a disease(for ex-ample, Asthma) or various healthcare scenarios (for example, disease management, preve
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Popescu, manuella. "Semantic mechanisms for cross-domain system diagnosis." Besançon, 2010. http://www.theses.fr/2010BESA2042.

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System diagnosis is a very challenging task due to the variety of symptoms, probable causes, impact analysis and the selection of the most suitable solution. Most system diagnosis activities today are human-based, for this reason, error-prone. The automation of the diagnosis decisions faces several challenges, such as: high complexity, lack of automatic knowledge transfer, and disconnection between context-oriented positive decisions taken in dissimilar domains. To address some of these issues, the contribution of this thesis is tow-fold. Firstly, we propose an adaptive framework for diagnosis
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Greenwood, Rob. "Semantic analysis for system level design automation." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10062009-020216/.

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Books on the topic "Semantic system"

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Golenkov, Vladimir, Victor Krasnoproshin, Vladimir Golovko, and Elias Azarov, eds. Open Semantic Technologies for Intelligent System. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60447-9.

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Antoniou, G. A semantic Web primer. 2nd ed. MIT Press, 2008.

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Antoniou, G. A semantic Web primer. MIT Press, 2004.

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Haase, Peter. Semantic technologies for distributed information systems. Univ.-Verl. Karlsruhe, 2006.

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Leuf, Bo. The Semantic Web. John Wiley & Sons, Ltd., 2006.

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Kumar, D., ed. Current Trends in SNePS — Semantic Network Processing System. Springer-Verlag, 1990. http://dx.doi.org/10.1007/bfb0022078.

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D, Kumar, ed. Current trends in SNePS--semantic network processing system. Springer-Verlag, 1990.

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Borys, Omelayenko, and Klein Michel 1942-, eds. Knowledge transformation for the semantic web. IOS Press, 2003.

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Antoniou, G. A semantic Web primer. 2nd ed. MIT Press, 2008.

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Frank, Van Harmelen, ed. Information sharing on the semantic Web. Springer, 2005.

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Book chapters on the topic "Semantic system"

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Zviedris, Martins, Aiga Romane, Guntis Barzdins, and Karlis Cerans. "Ontology-Based Information System." In Semantic Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14122-0_3.

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Zviedris, Martins, Aiga Romane, Guntis Barzdins, and Karlis Cerans. "Ontology-Based Information System." In Semantic Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06826-8_3.

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Chung, Tong Lee, Bin Xu, Xuanyu Yao, Qi Li, and Bozhi Yuan. "Ontology Based Suggestion Distribution System." In Semantic Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15615-6_31.

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Cai, Yanhua, Yiyeon Yoon, and Wooju Kim. "Personalized Search System Based on User Profile." In Semantic Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14122-0_24.

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Wanichayapong, Napong, Wasan Pattara-Atikom, and Ratchata Peachavanish. "Road Traffic Question Answering System Using Ontology." In Semantic Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15615-6_32.

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Cai, Yanhua, Yiyeon Yoon, and Wooju Kim. "Personalized Search System Based on User Profile." In Semantic Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06826-8_24.

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Zhang, Xinru, Huifang Xu, Yixin Cao, et al. "DSEL: A Domain-Specific Entity Linking System." In Semantic Technology. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41407-8_10.

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Stoyanov, Stanimir, Ivan Ganchev, Máirtín O’Droma, Hussein Zedan, Damien Meere, and Veselina Valkanova. "Semantic Multi-Agent mLearning System." In Semantic Agent Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18308-9_11.

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Akundi, Pavani. "Reliable Semantic Systems for Decision Making: Defining a Business Rules Ontology for a Survey Decision System." In Semantic Web. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_8.

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Fernández, Carles, and Jordi Gonzàlez. "Ontology for Semantic Integration in a Cognitive Surveillance System." In Semantic Multimedia. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77051-0_29.

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Conference papers on the topic "Semantic system"

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Li, Cong, Haiyang Cao, Xianyu Wang, et al. "Video Semantic Communication System Based on Key Semantic Protection." In 2024 5th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI). IEEE, 2024. https://doi.org/10.1109/iccbd-ai65562.2024.00056.

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Ye, Dongshan, Rundong Chen, Xijun Wang, Chenyuan Feng, Xiang Chen, and Tony Q. S. Quek. "ES-ISC Demo: An Explainable Semantics-based Image Semantic Communication System for 6G." In 2024 IEEE/CIC International Conference on Communications in China (ICCC). IEEE, 2024. http://dx.doi.org/10.1109/iccc62479.2024.10682036.

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Shu, Huixiang. "Intelligent English Semantic Recognition System Based on Multimodal Fuzzy Systems." In 2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI). IEEE, 2024. https://doi.org/10.1109/icdacai65086.2024.00049.

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John, Adebayo Kolawole, Luigi Di Caro, and Guido Boella. "A Supervised KeyPhrase Extraction System." In SEMANTiCS 2016: 12th International Conference on Semantic Systems. ACM, 2016. http://dx.doi.org/10.1145/2993318.2993323.

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Kleedorfer, Florian, Yana Panchenko, Christina Maria Busch, and Christian Huemer. "Verifiability and Traceability in a Linked Data Based Messaging System." In SEMANTiCS 2016: 12th International Conference on Semantic Systems. ACM, 2016. http://dx.doi.org/10.1145/2993318.2993342.

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Hijazi, Rita, Bernard Espinasse, and Núria Gala. "GRASS: A Syntactic Text Simplification System based on Semantic Representations." In 3rd International Conference on Data Science and Machine Learning (DSML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121518.

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Automatic Text Simplification (ATS) is the process of reducing a text's linguistic complexity to improve its understandability and readability while maintaining its original information, content, and meaning. Several text transformation operations can be performed such as splitting a sentence into several shorter sentences, substitution of complex elements, and reorganization. It has been shown that the implementation of these operations essentially at a syntactic level causes several problems that could be solved by using semantic representations. In this paper, we present GRASS (GRAph-based
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Shariatmadari, Shahdad, Ali Mamat, Hamidah Ibahim, and Norwati Mustapha. "Discovering semantic similarity association in semantic search system." In the 11th International Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1806338.1806398.

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Barkov, I., Chulpan Gabdrakhmanova, G. I. Gaptullazyanova, and A. V. Kholkin. "Automated semantic design system." In Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), edited by Arthur Gibadullin and Shahriyor Sadullozoda. SPIE, 2022. http://dx.doi.org/10.1117/12.2631605.

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"Development of Architecture and Caching System for Improving the Performance of Fuel Management System." In International Workshop on Semantic Sensor Web. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003111700030014.

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Wu, Qianwen, Fangfang Liu, Hailun Xia, and Tingxuan Zhang. "Semantic Transfer Between Different Tasks in the Semantic Communication System." In 2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022. http://dx.doi.org/10.1109/wcnc51071.2022.9771768.

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Reports on the topic "Semantic system"

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Stallard, David. Unification-Based Semantic Interpretation in the BBN Spoken Language System. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada457482.

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Shapovalov, Yevhenii B., Viktor B. Shapovalov, Roman A. Tarasenko, Stanislav A. Usenko, and Adrian Paschke. A semantic structuring of educational research using ontologies. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4433.

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This article is devoted to the presentation of the semantic interoperability of research and scientific results through an ontological taxonomy. To achieve this, the principles of systematization and structuration of the scientific/research results in scientometrics databases have been analysed. We use the existing cognitive IT platform Polyhedron and extend it with an ontology-based information model as main contribution. As a proof-of-concept we have modelled two ontological graphs, “Development of a rational way for utilization of methane tank waste at LLC Vasylkivska poultry farm” and “Dev
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Rishe, Naphtali, David Barton, and Mario Sanchez. Storage and Visualization of Spatial Data in a High-Performance Semantic Database System. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada308598.

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Panta, Manisha, Padam Thapa, Md Hoque, et al. Application of deep learning for segmenting seepages in levee systems. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49453.

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Seepage is a typical hydraulic factor that can initiate the breaching process in a levee system. If not identified and treated on time, seepages can be a severe problem for levees, weakening the levee structure and eventually leading to collapse. Therefore, it is essential always to be vigilant with regular monitoring procedures to identify seepages throughout these levee systems and perform adequate repairs to limit potential threats from unforeseen levee failures. This paper introduces a fully convolutional neural network to identify and segment seepage from the image in levee systems. To th
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Shapovalov, Yevhenii B., Viktor B. Shapovalov, and Vladimir I. Zaselskiy. TODOS as digital science-support environment to provide STEM-education. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3250.

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The amount of scientific information has been growing exponentially. It became more complicated to process and systemize this amount of unstructured data. The approach to systematization of scientific information based on the ontological IT platform Transdisciplinary Ontological Dialogs of Object-Oriented Systems (TODOS) has many benefits. It has been proposed to select semantic characteristics of each work for their further introduction into the IT platform TODOS. An ontological graph with a ranking function for previous scientific research and for a system of selection of journals has been w
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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3865.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database managemen
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Xu, Chao, Walter Forkel, Stefan Borgwardt, Franz Baader, and Beihai Zhou. Automatic Translation of Clinical Trial Eligibility Criteria into Formal Queries. Technische Universität Dresden, 2019. http://dx.doi.org/10.25368/2023.224.

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Selecting patients for clinical trials is very labor-intensive. Our goal is to develop an automated system that can support doctors in this task. This paper describes a major step towards such a system: the automatic translation of clinical trial eligibility criteria from natural language into formal, logic-based queries. First, we develop a semantic annotation process that can capture many types of clinical trial criteria. Then, we map the annotated criteria to the formal query language. We have built a prototype system based on state-of-the-art NLP tools such as Word2Vec, Stanford NLP tools,
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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.], 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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Kud, A. A. Figures and Tables. Reprinted from “Comprehensive сlassification of virtual assets”, A. A. Kud, 2021, International Journal of Education and Science, 4(1), 52–75. KRPOCH, 2021. http://dx.doi.org/10.26697/reprint.ijes.2021.1.6.a.kud.

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Figure. Distributed Ledger Token Accounting System. Figure. Subjects of Social Relations Based on the Decentralized Information Platform. Figure. Derivativeness of a Digital Asset. Figure. Semantic Features of the Concept of a “Digital Asset” in Economic and Legal Aspects. Figure. Derivativeness of Polyassets and Monoassets. Figure. Types of Tokenized Assets Derived from Property. Figure. Visual Representation of the Methods of Financial and Management Accounting of Property Using Various Types of Tokenized Assets. Figure. Visual Representation of the Classification of Virtual Assets Based on
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Christie, Benjamin, Jordan Klein, Anton Netchaev, and Garry Glaspell. Integrating MOVEit motion constraints on a novel robotic manipulator. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47845.

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MOVEit, a widely used Robot Operating System framework, plans composite tasks, where the high-level sequence of actions is fixed and known in advance. However, these tasks need to be tailored and adapted to the environmental context. This framework uses custom trajectory planners, known as controllers, to solve goals that are fully defined within the configuration space. Libraries, such as the Open Motion Planning Library, provide a collection of motion planners that can solve task-space goals. An exact spatial and joint replication of the robotic manipulator’s mechanics, typically Universal R
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