Relevant bibliographies by topics / Semantic context

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Semantic context'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Semantic context"

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Romero, Esther, and Belén Soria. "Semantic content and compositional context-censitivity." THEORIA. An International Journal for Theory, History and Foundations of Science 34, no. 1 (2019): 51. http://dx.doi.org/10.1387/theoria.17683.

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A variety of theorists have recently argued against the explanation of the semantic content of a sentence as a minimal proposition claiming that intentional aspects of the context are often needed to obtain a minimal proposition. Minimalists such as Borg, however, still defend intention-insensitive minimal propositions for sentences in a narrow context and provide solutions or dissolutions against incompleteness objections. In this paper, we show that these putative defences of propositionalism do not serve to avoid some additional genuine objections which arise from compositional context-sens
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Montminy, Martin. "Semantic Content, Truth Conditions and Context." Linguistics and Philosophy 29, no. 1 (2006): 1–26. http://dx.doi.org/10.1007/s10988-005-3147-6.

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Albertoni, Riccardo, Elena Camossi, Monica De Martino, Franca Giannini, and Marina Monti. "Context dependent semantic granularity." International Journal of Data Mining, Modelling and Management 3, no. 2 (2011): 189. http://dx.doi.org/10.1504/ijdmmm.2011.041495.

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Li, Haofeng, Guanbin Li, Liang Lin, Hongchuan Yu, and Yizhou Yu. "Context-Aware Semantic Inpainting." IEEE Transactions on Cybernetics 49, no. 12 (2019): 4398–411. http://dx.doi.org/10.1109/tcyb.2018.2865036.

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Das, Dipanjan, Desai Chen, André F. T. Martins, Nathan Schneider, and Noah A. Smith. "Frame-Semantic Parsing." Computational Linguistics 40, no. 1 (2014): 9–56. http://dx.doi.org/10.1162/coli_a_00163.

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Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-semantic structures. Given a target in context, the first stage disambiguates it to a semantic frame. This model uses latent variables and semi-supervised learning to improve frame disambiguation for targets unseen at training time. The second stage finds the target's locally expressed semantic arguments
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Wang, Huandong, Yong Li, Mu Du, Zhenhui Li, and Depeng Jin. "App2Vec: Context-Aware Application Usage Prediction." ACM Transactions on Knowledge Discovery from Data 15, no. 6 (2021): 1–21. http://dx.doi.org/10.1145/3451396.

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Both app developers and service providers have strong motivations to understand when and where certain apps are used by users. However, it has been a challenging problem due to the highly skewed and noisy app usage data. Moreover, apps are regarded as independent items in existing studies, which fail to capture the hidden semantics in app usage traces. In this article, we propose App2Vec, a powerful representation learning model to learn the semantic embedding of apps with the consideration of spatio-temporal context. Based on the obtained semantic embeddings, we develop a probabilistic model
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Liu, Liwei, Freddy Lecue, and Nikolay Mehandjiev. "Semantic content-based recommendation of software services using context." ACM Transactions on the Web 7, no. 3 (2013): 1–20. http://dx.doi.org/10.1145/2516633.2516639.

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SCHIESSL, Marcelo, and Marisa BRÄSCHER. "Ontology lexicalization: Relationship between content and meaning in the context of Information Retrieval." Transinformação 29, no. 1 (2017): 57–72. http://dx.doi.org/10.1590/2318-08892017000100006.

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Abstract The proposal presented in this study seeks to properly represent natural language to ontologies and vice-versa. Therefore, the semi-automatic creation of a lexical database in Brazilian Portuguese containing morphological, syntactic, and semantic information that can be read by machines was proposed, allowing the link between structured and unstructured data and its integration into an information retrieval model to improve precision. The results obtained demonstrated that the methodology can be used in the risco financeiro (financial risk) domain in Portuguese for the construction of
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Liang, Chao, Changsheng Xu, and Hanqing Lu. "Personalized Sports Video Customization Using Content and Context Analysis." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–20. http://dx.doi.org/10.1155/2010/836357.

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We present an integrated framework on personalized sports video customization, which addresses three research issues: semantic video annotation, personalized video retrieval and summarization, and system adaptation. Sports video annotation serves as the foundation of the video customization system. To acquire detailed description of video content, external web text is adopted to align with the related sports video according to their semantic correspondence. Based on the derived semantic annotation, a user-participant multiconstraint 0/1 Knapsack model is designed to model the personalized vide
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Han, Jialong, Aixin Sun, Haisong Zhang, Chenliang Li, and Shuming Shi. "CASE: Context-Aware Semantic Expansion." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7871–78. http://dx.doi.org/10.1609/aaai.v34i05.6293.

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In this paper, we define and study a new task called Context-Aware Semantic Expansion (CASE). Given a seed term in a sentential context, we aim to suggest other terms that well fit the context as the seed. CASE has many interesting applications such as query suggestion, computer-assisted writing, and word sense disambiguation, to name a few. Previous explorations, if any, only involve some similar tasks, and all require human annotations for evaluation. In this study, we demonstrate that annotations for this task can be harvested at scale from existing corpora, in a fully automatic manner. On
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Dissertations / Theses on the topic "Semantic context"

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Belleri, Delia <1983&gt. "Semantic under-determinacy, Content and Context." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amsdottorato.unibo.it/4980/.

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The aim of the thesis is to investigate the topic of semantic under-determinacy, i.e. the failure of the semantic content of certain expressions to determine a truth-evaluable utterance content. In the first part of the thesis, I engage with the problem of setting apart semantic under-determinacy as opposed to other phenomena such as ambiguity, vagueness, indexicality. As I will argue, the feature that distinguishes semantic under-determinacy from these phenomena is its being explainable solely in terms of under-articulation. In the second part of the thesis, I discuss the topic of how communi
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Yli-Vakkuri, Tuomo Juhani. "Essays on semantic content and context-sensitivity." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:bbdfacab-c35b-42a9-9f77-28479e3015b9.

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The thesis comprises three foundational studies on the topics named in its title, together with an introduction. Ch. 1 argues against a popular combination of views in the philosophy of language: Propositionality, which says that the semantic values of natural language sentences (relative to contexts) are the propositions they express (in those contexts) and Compositionality, which says that the semantic value of a complex expression of a natural language (in a context) is determined by the semantic values its immediate constituents have (in that same context) together with their syntactic mod
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Boteanu, Adrian. "Similarity Reasoning over Semantic Context-Graphs." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-dissertations/365.

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"Similarity is a central cognitive mechanism for humans which enables a broad range of perceptual and abstraction processes, including recognizing and categorizing objects, drawing parallelism, and predicting outcomes. It has been studied computationally through models designed to replicate human judgment. The work presented in this dissertation leverages general purpose semantic networks to derive similarity measures in a problem-independent manner. We model both general and relational similarity using connectivity between concepts within semantic networks. Our first contribution is to model
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Sah, Melike. "Semantic linking and personalization in context." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/66605/.

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The World Wide Web (WWW) is intended for humans to create and share documents. However, it does not support machine-processable data and automated processing. The Semantic Web is an extension to the WWW and can overcome its shortcomings. The Semantic Web provides the technology for creating and sharing data in machine-processable semantics. As a result, the data can be used and shared in effective ways between cross applications. In this thesis, we investigate the Semantic Web technologies for context-based hyperlink creation and personalization. Two different contributions are presented using
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Hoffmann, Patrick. "Context-based semantic similarity across ontologies." Lyon 1, 2008. http://tel.archives-ouvertes.fr/docs/00/36/33/00/PDF/thesis_library_colour.pdf.

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Cette thèse étudie l'intérêt du contexte pour améliorer l'interopérabilité entre ontologies hétérogènes, d'une manière qui permette leur évolution indépendante. Lors de collaborations, les organisations échangent leurs données, qui sont décrites par des concepts définis dans des ontologies. L'objectif est d'obtenir un service d'évaluation de tels concepts, basé sur le contexte. Nous proposons une méthodologie pour déterminer, modeler et utiliser le contexte. En l'appliquant, nous découvrons trois usages du contexte qui contribuent à améliorer la réconciliation d'ontologies : Nous proposons de
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Viebahn, Emanuel. "Semantic pluralism." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:b7b744c1-0c4a-4b86-a6ff-ff5156184f76.

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This thesis defends Semantic Pluralism, the view that sentences express sets of propositions in context. It puts forward two arguments against Contextualism, the main opposing view, on which each sentence expresses exactly one proposition in context. It spells out two versions of Pluralism: Flexible Pluralism, which takes most sentences to be context-sensitive, and Strong Pluralism, which denies that context-sensitivity is widespread. And it defends Flexible Pluralism and Strong Pluralism from a number of objections.
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Steinmetz, Nadine. "Context-aware semantic analysis of video metadata." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2014/7055/.

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Im Vergleich zu einer stichwortbasierten Suche ermöglicht die semantische Suche ein präziseres und anspruchsvolleres Durchsuchen von (Web)-Dokumenten, weil durch die explizite Semantik Mehrdeutigkeiten von natürlicher Sprache vermieden und semantische Beziehungen in das Suchergebnis einbezogen werden können. Eine semantische, Entitäten-basierte Suche geht von einer Anfrage mit festgelegter Bedeutung aus und liefert nur Dokumente, die mit dieser Entität annotiert sind als Suchergebnis. Die wichtigste Voraussetzung für eine Entitäten-zentrierte Suche stellt die Annotation der Dokumente im Archiv
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Aytar, Yusuf. "SEMANTIC VIDEO RETRIEVAL USING HIGH LEVEL CONTEXT." Master's thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3455.

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Video retrieval &#150; searching and retrieving videos relevant to a user defined query &#150; is one of the most popular topics in both real life applications and multimedia research. This thesis employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utilization of the semantic word similarity measures for video retrieval through the trained concept detectors, and the visual co-occurrence relations between such concepts. We propose two methods for content-based retrieval of videos: (1) A method for retrieving a new concept (a
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Nikolopoulos, Spyridon. "Semantic multimedia analysis using knowledge and context." Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/3148.

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The difficulty of semantic multimedia analysis can be attributed to the extended diversity in form and appearance exhibited by the majority of semantic concepts and the difficulty to express them using a finite number of patterns. In meeting this challenge there has been a scientific debate on whether the problem should be addressed from the perspective of using overwhelming amounts of training data to capture all possible instantiations of a concept, or from the perspective of using explicit knowledge about the concepts’ relations to infer their presence. In this thesis we address three probl
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Menart, Christopher J. Menart. "Global-Context Refinement for Semantic Image Segmentation." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523462175806808.

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Books on the topic "Semantic context"

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Stainton, Robert J., and Christopher Viger, eds. Compositionality, Context and Semantic Values. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8310-5.

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J, Cresswell M. Semantic indexicality. Kluwer Academic Publishers, 1996.

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Feigenbaum, Susanne, and Dennis Kurzon, eds. Prepositions in their Syntactic, Semantic and Pragmatic Context. John Benjamins Publishing Company, 2002. http://dx.doi.org/10.1075/tsl.50.

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Barrière, Caroline. Natural Language Understanding in a Semantic Web Context. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41337-2.

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Kessler, Carsten. Context-aware semantics-based information retrieval. IOS Press, 2010.

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1950-, LePore Ernest, ed. Insensitive semantics: A defense of semantic minimalism and speech act pluralism. Blackwell Pub., 2005.

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Digital libraries and the semantic web: Context, applications and research. Emerald, 2008.

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Moulton, Allen. Cross-organizational data quality and semantic integrity: Learning and reasoning about data semantics with context interchange mediation. MIT Sloan School of Management, 2001.

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Willners, Caroline. Antonyms in context: A corpus-based semantic analysis of Swedish descriptive adjectives. Lund University, 2001.

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Lytras, Miltiadis D., Patricia Ordóñez de Pablos, and Ernesto Damiani. Semantic Web personalization and context awareness: Management of personal identities and social networking. Information Science Reference, 2011.

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Book chapters on the topic "Semantic context"

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Bell, John. "Pragmatic Reasoning Pragmatic Semantics and Semantic Pragmatics." In Modeling and Using Context. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44607-9_4.

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Böhme, Stephan, and Thomas Kühn. "Reasoning on Context-Dependent Domain Models." In Semantic Technology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70682-5_5.

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Smeaton, Alan F. "Content vs. Context for Multimedia Semantics: The Case of SenseCam Image Structuring." In Semantic Multimedia. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11930334_1.

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Sotomayor, Marco, Kewen Wang, Yidong Shen, and John Thornton. "Probabilistic Multi-Context Systems." In The Semantic Web. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29923-0_26.

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Beez, Ulrich, Lukas Kaupp, Tilman Deuschel, et al. "Context-Aware Documentation in the Smart Factory." In Semantic Applications. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55433-3_12.

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Barrière, Caroline. "Semantic Types." In Natural Language Understanding in a Semantic Web Context. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41337-2_13.

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Santini, Simone, and Alexandra Dumitrescu. "Context as a Non-ontological Determinant of Semantics." In Semantic Multimedia. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92235-3_11.

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Hu, Yang. "Three Versions of Semantic Minimalism." In Modeling and Using Context. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57837-8_23.

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Bianchi, Claudia, and Nicla Vassallo. "Epistemological Contextualism: A Semantic Perspective." In Modeling and Using Context. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11508373_4.

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Hattiangadi, Anandi. "Semantic Normativity in Context." In New Waves in Philosophy of Language. Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230248588_6.

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Conference papers on the topic "Semantic context"

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Zhang, Wendong, Junwei Zhu, Ying Tai, et al. "Context-Aware Image Inpainting with Learned Semantic Priors." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/183.

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Recent advances in image inpainting have shown impressive results for generating plausible visual details on rather simple backgrounds. However, for complex scenes, it is still challenging to restore reasonable contents as the contextual information within the missing regions tends to be ambiguous. To tackle this problem, we introduce pretext tasks that are semantically meaningful to estimating the missing contents. In particular, we perform knowledge distillation on pretext models and adapt the features to image inpainting. The learned semantic priors ought to be partially invariant between t
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Kuhr, Felix, Magnus Bender, Tanya Braun, and Ralf Moller. "Context-specific Adaptation of Subjective Content Descriptions." In 2021 IEEE 15th International Conference on Semantic Computing (ICSC). IEEE, 2021. http://dx.doi.org/10.1109/icsc50631.2021.00032.

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Kodeswaran, S. B., and A. Joshi. "Content and Context Aware Networking Using Semantic Tagging." In 22nd International Conference on Data Engineering Workshops (ICDEW'06). IEEE, 2006. http://dx.doi.org/10.1109/icdew.2006.41.

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Zhou, Yizhou, Xiaoyan Sun, Zheng-Jun Zha, and Wenjun Zeng. "Context-Reinforced Semantic Segmentation." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00417.

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Haase, Kenneth. "Context for semantic metadata." In the 12th annual ACM international conference. ACM Press, 2004. http://dx.doi.org/10.1145/1027527.1027574.

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Bartusiak, Adam, and Jörg Lässig. "Semantic Processing for the Conversion of Unstructured Documents into Structured Information in the Enterprise Context." In SEMANTiCS 2016: 12th International Conference on Semantic Systems. ACM, 2016. http://dx.doi.org/10.1145/2993318.2993341.

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Sambasivam, Samuel, and Tilemachos Kanakis. "The Application of Semantic Enablers in the Context of Content Management Systems." In InSITE 2006: Informing Science + IT Education Conference. Informing Science Institute, 2006. http://dx.doi.org/10.28945/2968.

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Content management can be viewed as the concepts, processes, technologies and practices that deal with the development, management and publishing of information. Traditionally, a Content Management System (CMS) does not offer the means for content classification, management and retrieval of data based on dynamically defined information models. Furthermore, Content Management Systems usually rely on indexed text, syntactic and/or structural metadata for content classification and retrieval. The paper discusses the design of an experimental Semantic CMS (SCMS), which exercises the application of
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Franzoni, Valentina, Alfredo Milani, Simonetta Pallottelli, Clement H. C. Leung, and Yuanxi Li. "Context-based image semantic similarity." In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2015. http://dx.doi.org/10.1109/fskd.2015.7382127.

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Suraci, Vincenzo, Silvano Mignanti, and Anna Aiuto. "Context-aware Semantic Service Discovery." In 2007 16th IST Mobile and Wireless Communications Summit. IEEE, 2007. http://dx.doi.org/10.1109/istmwc.2007.4299110.

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Najar, Salma, Oumaima Saidani, Manuele Kirsch-Pinheiro, Carine Souveyet, and Selmin Nurcan. "Semantic representation of context models." In the 1st Workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1552262.1552268.

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Reports on the topic "Semantic context"

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Chen, Harry, Tim Finin, and Amupam Joshi. Semantic Web in the Context Broker Architecture. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada439483.

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Chen, Harry, Tim Finin, and Anupam Joshi. Semantic Web in a Pervasive Context-Aware Architecture. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada439730.

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Sadeh, Norman M. Semantic Web Technologies for Mobile Context-Aware Services. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada449095.

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Gandon, Fabien L., and Norman M. Sadeh. Semantic Web Technologies to Reconcile Privacy and Context Awareness. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada461135.

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Rao, Jinghai, and Norman Sadeh. Interleaving Semantic Web Reasoning and Service Discovery to Enforce Context-Sensitive Security and Privacy Policies. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada456148.

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Li, Xin, Dan Roth, and Yuancheng Tu. PhraseNet: Towards Context Sensitive Lexical Semantics. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada461041.

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Mosko, M., I. Solis, and C. Wood. Content-Centric Networking (CCNx) Semantics. RFC Editor, 2019. http://dx.doi.org/10.17487/rfc8569.

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Ankolekar, Anupriya. Towards a Semantic Web of Community, Content and Interactions. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada456050.

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Fielding, R., and J. Reschke, eds. Hypertext Transfer Protocol (HTTP/1.1): Semantics and Content. RFC Editor, 2014. http://dx.doi.org/10.17487/rfc7231.

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White, W., P. Pope, J. Goforth, et al. Benchmark Imagery for Assessing Geospatial Semantic Content Extraction Algorithms Final Report. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1097770.

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