Готові списки джерел за темами / Semantic analyses

Добірка наукової літератури з теми "Semantic analyses"

Автор: Grafiati
Опубліковано: 10 січня 2023
Оновлено: 28 січня 2023

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Статті в журналах з теми "Semantic analyses":

1

Manor, Ruth. "Pragmatic considerations in semantic analyses." Pragmatics and Cognition 3, no. 2 (January 1, 1995): 225–45. http://dx.doi.org/10.1075/pc.3.2.03man.

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In this paper I argue against a sharp separation of semantics from pragmatics. While it may be useful to consider semantics independently of pragmatics, in some cases this strategy may lead us astray. First, I make a methodological point. Competing semantic analyses are often presented as supported by competing semantic intuitions of native speakers. Functional considerations are pragmatic considerations which should affect our choice of semantics. These are inferences from the linguistic goals the speakers actually achieve to the meanings their expressions must therefore have. Second, there are linguistic expressions whose semantic (literal) meaning is a function of their pragmatic uses. I consider two examples. First, the logicians' debate over the universal analysis of conditionals in natural language. The participants in the debate all ignore conditional forms other than the assertoric and subjunctive. In particular they ignore the conditional speech-act reading. The meaning of the conditional is related to its function: to restrict the commitment of a given speech-act to special conditions. A functional proof of the existence of such conditionals (even in the assertoric mood) is given, thus showing that the different semantics account only for part of the relevant facts. The second example concerns vague terms. I claim that one of their main uses is to help us identify objects by reference not to their absolute properties but relative to their background. This function cannot be performed by the use of non-vague terms. Vague terms are context dependent and may in some contexts be used non-vaguely and refer to distinct objects in the discourse domain. In a way, what these terms end up denoting is a function of the use of predicates to partition a given domain.
2

Peng, Yuhai. "Metaphorical Analyses of Russian Verbs of Thinking Activity Meaning." Russian and Chinese Studies 4, no. 3 (November 28, 2020): 244–55. http://dx.doi.org/10.17150/2587-7445.2020.4(3).244-255.

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The study of cognitive semantics of verbs is an important topic in contemporary linguistics. Taking Russian metaphorical thinking meaning verbs as the object, this article discusses the cognitive semantics of verbs. First of all, the paper combs out the subconscious thinking activity verbs derived from the metaphors of prototype actions of volitional and non volitional activities, and the autonomous thinking activity verbs from the prototype action metaphor of will activity; then focusing on the cognitive similarity and semantic violation, the article separately analyses the metaphorical semantic derivation of these two kinds of thinking activity, meanwhile, it correspondingly discusses the problem of polysemy of Russian verbs. Relevant research will be helpful to further investigate the metaphorical performance and mechanism of the unique thinking activity verbs, at the same time, it is beneficial to promote the theoretical exploration of semantic derivation of Russian polysemous verbs. The relevant study will be helpful to further investigate the cognitive semantic attributes and operational characteristics of Russian verbs with metaphorical thinking meaning, and it is beneficial to promote the research of lexical semantic theory of Russian language on the cognitive level.
3

WANG, YINGXU. "ON FORMAL AND COGNITIVE SEMANTICS FOR SEMANTIC COMPUTING." International Journal of Semantic Computing 04, no. 02 (June 2010): 203–37. http://dx.doi.org/10.1142/s1793351x10000833.

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Semantics is the meaning of symbols, notations, concepts, functions, and behaviors, as well as their relations that can be deduced onto a set of predefined entities and/or known concepts. Semantic computing is an emerging computational methodology that models and implements computational structures and behaviors at semantic or knowledge level beyond that of symbolic data. In semantic computing, formal semantics can be classified into the categories of to be, to have, and to do semantics. This paper presents a comprehensive survey of formal and cognitive semantics for semantic computing in the fields of computational linguistics, software science, computational intelligence, cognitive computing, and denotational mathematics. A set of novel formal semantics, such as deductive semantics, concept-algebra-based semantics, and visual semantics, is introduced that forms a theoretical and cognitive foundation for semantic computing. Applications of formal semantics in semantic computing are presented in case studies on semantic cognition of natural languages, semantic analyses of computing behaviors, behavioral semantics of human cognitive processes, and visual semantic algebra for image and visual object manipulations.
4

Goddard, Cliff, and Anna Wierzbicka. "NSM analyses of the semantics of physical qualities." Studies in Language 31, no. 4 (August 14, 2007): 765–800. http://dx.doi.org/10.1075/sl.31.4.03god.

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All languages have words, such as English hot and cold, hard and soft, rough and smooth, and heavy and light, which attribute qualities to things. This paper maps out how such descriptors can be analysed in the natural semantic metalanguage (NSM) framework, in terms of like and other semantic primes configured into a particular semantic schema: essentially, touching something with a part of the body, feeling something in that part, knowing something about that thing because of it, and thinking about that thing in a certain way because of it. Far from representing objective properties of things “as such”, it emerges that physical quality concepts refer to embodied human experiences and embodied human sensations. Comparisons with French, Polish and Korean show that the semantics of such words may differ significantly from language to language.
5

Hall, David Patrick, and Ivano Caponigro. "On the semantics of when-clauses." Semantics and Linguistic Theory, no. 20 (April 3, 2015): 544. http://dx.doi.org/10.3765/salt.v0i20.2566.

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This paper is about non-interrogative temporal embedded clauses introduced by when (temporal when-clauses), their semantic interpretation and their syntax/semantics mapping. Our goal is to provide a fully compositional account of temporal when-clauses that accounts for their formal identity with interrogative clauses and their difference in meaning. The main idea is that temporal when-clauses are syntactically and semantically free relative clauses. Previous syntactic analyses (Grimshaw 1977, Bresnan and Grimshaw 1978, a.o) have provided robust support to the syntactic side of this claim. On the other hand, the semantic proposals for temporal when-clauses that we are aware of (Bonomi 1997, Vikner 2004, Moens and Steedman 1988) have ignored these syntactic conclusions and have argued for analyses that are problematic for the syntactic/semantic mapping. These semantic analyses are also not fully adequate in handling the interpretative properties of these clauses. We provide evidence from the distributional and interpretive properties of when-clauses as well as from the temporal alignment of the matrix clause with the when-clause that supports our analysis.
6

Hall, David Patrick, and Ivano Caponigro. "On the semantics of when-clauses." Semantics and Linguistic Theory 20 (August 14, 2010): 544. http://dx.doi.org/10.3765/salt.v20i0.2566.

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This paper is about non-interrogative temporal embedded clauses introduced by when (temporal when-clauses), their semantic interpretation and their syntax/semantics mapping. Our goal is to provide a fully compositional account of temporal when-clauses that accounts for their formal identity with interrogative clauses and their difference in meaning. The main idea is that temporal when-clauses are syntactically and semantically free relative clauses. Previous syntactic analyses (Grimshaw 1977, Bresnan and Grimshaw 1978, a.o) have provided robust support to the syntactic side of this claim. On the other hand, the semantic proposals for temporal when-clauses that we are aware of (Bonomi 1997, Vikner 2004, Moens and Steedman 1988) have ignored these syntactic conclusions and have argued for analyses that are problematic for the syntactic/semantic mapping. These semantic analyses are also not fully adequate in handling the interpretative properties of these clauses. We provide evidence from the distributional and interpretive properties of when-clauses as well as from the temporal alignment of the matrix clause with the when-clause that supports our analysis.
7

Noble, Jason, Etienne Thoret, Max Henry, and Stephen McAdams. "Semantic Dimensions of Sound Mass Music." Music Perception 38, no. 2 (November 25, 2020): 214–42. http://dx.doi.org/10.1525/mp.2020.38.2.214.

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We combine perceptual research and acoustic analysis to probe the messy, pluralistic world of musical semantics, focusing on sound mass music. Composers and scholars describe sound mass with many semantic associations. We designed an experiment to evaluate to what extent these associations are experienced by other listeners. Thirty-eight participants heard 40 excerpts of sound mass music and related contemporary genres and rated them along batteries of semantic scales. Participants also described their rating strategies for some categories. A combination of qualitative stimulus analyses, Cronbach’s alpha tests, and principal component analyses suggest that cross-domain mappings between semantic categories and musical properties are statistically coherent between participants, implying non-arbitrary relations. Some aspects of participants’ descriptions of their rating strategies appear to be reflected in their numerical ratings. We sought quantitative bases for these associations in the acoustic signals. After attempts to correlate semantic ratings with classical audio descriptors failed, we pursued a neuromimetic representation called spectrotemporal modulations (STMs), which explains much more of the variance in semantic ratings. This result suggests that semantic interpretations of music may involve qualities or attributes that are objectively present in the music, since computer simulation can use sound signals to partially reconstruct human semantic ratings.
8

Amaral, Luana Lopes. "Online resources for the syntactic-semantic classification of verbs." Texto Livre 15 (July 6, 2022): e38715. http://dx.doi.org/10.35699/1983-3652.2022.38715.

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Verb classes are defined in lexical-semantics literature as syntactically coherent groups of verbs that also share meaning components. Thus, the investigation of verb classes leads to important insights into the syntax-semantics interface. In this perspective, starting from Levin’s (1993) foundational work for English, many authors have developed analyses for the syntactic-semantic classification of verbs in different languages. The aim of this paper is to provide an overview of such studies, focusing on those that constitute online open access resources for the syntactic-semantic classification of verbs: VerbNet for English, BVI for Basque, AnCoraVerb for Spanish and Catalan, VerboWeb for Brazilian Portuguese, CROVALLEX for Croatian, and VALLEX for Czech. Thus, this paper reviews the general theoretical assumptions on verb classification shared by all the works presented, and shows the specific characteristics of each one, considering the body of data, the specific theoretical perspective, analyses and methodology, and the search engines they provide. Finally, it offers a comparative analysis of two specific verb classes (namely, image creation verbs and verbs of creation and transformation), drawing on data from the studies mentioned above. Although these resources assume a specific lexical-semantic approach for verb classification, they provide valuable data and analyses that can be useful for research in different theoretical perspectives.
9

Locatell, Christian. "Temporal Conjunctions and Their Semantic Extensions: The Case of in Biblical Hebrew." Journal of Semitic Studies 65, no. 1 (2020): 93–115. http://dx.doi.org/10.1093/jss/fgz040.

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Abstract Past analyses of have tended toward descriptive taxonomies or proposals of a highly abstract semantic core. Taxonomic approaches have the strength of descriptive rigour while proposals of an abstract core have the strength of offering a coherent analysis of its various uses. However, the former offer little or no explanation for the semantic variation of , and the latter simply attribute such variation to context. This paper argues that the best analysis of (or any such polysemous word) will both account for real variation in meaning without simply attributing it to context, and will also explain the principled connection between seemingly unrelated uses. Utilizing insights from cognitive semantics and grammaticalization theory, this paper will argue that temporal spans an internally complex semantic category, the various points of which served as the source for semantic extensions into its causal and conditional uses.
10

Karaman, Burcu İlkay. "Semantic Analyses in Forensic Text Types." Bulletin of Legal Medicine 22, no. 3 (October 30, 2017): na. http://dx.doi.org/10.17986/blm.2017332897.

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Статті в журналах Дисертації Книги

Дисертації з теми "Semantic analyses":

1

Ho, Man-yee. "Trendy expressions in Hong Kong Cantonese morphological, semantic and pragmatic analyses /." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31601029.

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2

Ho, Man-yee, and 何敏兒. "Trendy expressions in Hong Kong Cantonese: morphological, semantic and pragmatic analyses." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31601029.

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3

Kautz, Oliver [Verfasser]. "Model Analyses Based on Semantic Differencing and Automatic Model Repair / Oliver Kautz." Düren : Shaker, 2021. http://d-nb.info/1233548298/34.

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4

Kossmann, Bianca. "Rich and poor in the history of English: corpus-based analyses of lexico-semantic variation and change in Old and Middle English." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:25-opus-46897.

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5

Zoltan, Kazi. "Ontološki zasnovana analiza semantičke korektnosti modela podataka primenom sistema automatskog rezonovanja." Phd thesis, Univerzitet u Novom Sadu, Tehnički fakultet Mihajlo Pupin u Zrenjaninu, 2014. https://www.cris.uns.ac.rs/record.jsf?recordId=85033&source=NDLTD&language=en.

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U radu je izvršeno teoretsko istraživanje i analiza postojećih stavova i rešenja u oblasti validacije i provere kvaliteta modela podataka. Kreiran je teorijski model ontološki zasnovane analize semantičke korektnosti modela podataka primenom sistema automatskog rezonovanja i izvršena praktična implementacija teorijskog modela, što je potvrđeno i sprovedenim eksperimentalnim istraživanjem. Razvijena je softverska aplikacija za formalizaciju modela podataka i mapiranje ontologije u oblik Prolog klauzula. Formirana su pravila zaključivanja na predikatskom računu prvog reda, koja su integrisana sa modelom podataka i domenskom ontologijom. Upitima u okviru Prolog sistema, vrši se provera semantičke korektnosti modela podataka. Definisana je i metrika ontološkog kvaliteta modela podataka koja se bazira na odgovorima sistema automatskog rezonovanja.
Work presents a theoretical study and analysis of existing theories and solutions in the area of data model validation and quality checking. It is created a theoretical model of ontology based analysis of data model semantic correctness by applying automated reasoning system which is practicaly implemented and confirmed by the conducted experimental research. A software application is developed for data model formalization and ontology mapping in Prolog clauses form. Reasoning rules are formed the in first-order predicate logic, which are integrated with the data model and domain ontology. Semantic correctness of the data model is checked with queries within Prolog system. Metrics of ontological quality of the data model are defined which are based on automated reasoning system replies.
6

Malmqvist, Anita. "Sparsamkeit und Geiz, Grosszügigkeit und Verschwendung : ethische Konzepte im Spiegel der Sprache." Doctoral thesis, Umeå universitet, Moderna språk, 2000. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-61584.

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The object of this study is to analyse the lexemes and phraseological units that constitute the semantic fields employed in naming four abstract domains, greed, thrift, generosity, and extra­vagance that make up the ethical concept <Attitude to Ownership> in German. On the assump­tion that ideas are accessible to us through the lexicalised items of a language, recent theories in the field of semantic analysis and conceptualisation were applied to the source material. In each domain key words were identified and their definitions in modern and historical dictionaries were analysed. Various dimensions of meaning, which proved to be inherent in the lexical items, emerged from this analysis. The oppositions a/o (action directed to others vs. to oneself), right/wrong (virtues vs. vices) and too much/ too little vs. the ideal mean were established as central. To achieve a more precise description of meaning tentative explications of cognitive levels were proposed. By means of these the underlying ideas, as they were reflected in the lexical units, could be described. The analysis showed greater variation and expressivity in words, idioms, and proverbs referring to the two vices compared to the virtues. Furthermore, a diachronic study produced evidence of semantic and conceptual changes. On the basis of such observations conclusions could be drawn about changes in the ethical system. The data derived from a contrastive corpus analysis of the German and Swedish key words showed numerous similarities as well as some conspicuous differences in the conceptualisation and valuation of attitudes pertaining to the four abstract domains. Moreover, the key words denoting the two virtues showed a clear domination in frequency, indicating that these are more central conceptual categories in today's society than the vices. An ongoing shift in meaning could be established for the key words naming the latter. Applying modern theories of metaphor and metonymy the experiential basis of meaning and thought was explored, showing that the structures forming the ethical concepts studied in this work are grounded in experiences of a physical and socio- cultural nature. The metaphorical concept ILLNESS emerged as a common source domain for the two vices, while the PATH- concept was shown to form the basis of metaphors expressing the o-virtue but not the a-virtue. Among the numerous métonymie concepts HAND proved to be a characteristic of all four domains.
digitalisering@umu
7

Gao, Boyang. "Contributions to music semantic analysis and its acceleration techniques." Thesis, Ecully, Ecole centrale de Lyon, 2014. http://www.theses.fr/2014ECDL0044/document.

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La production et la diffusion de musique numérisée ont explosé ces dernières années. Une telle quantité de données à traiter nécessite des méthodes efficaces et rapides pour l’analyse et la recherche automatique de musique. Cette thèse s’attache donc à proposer des contributions pour l’analyse sémantique de la musique, et en particulier pour la reconnaissance du genre musical et de l’émotion induite (ressentie par l’auditoire), à l’aide de descripteurs de bas-niveau sémantique mais également de niveau intermédiaire. En effet, le genre musical et l’émotion comptent parmi les concepts sémantiques les plus naturels perçus par les auditoires. Afin d’accéder aux propriétés sémantiques à partir des descripteurs bas-niveau, des modélisations basées sur des algorithmes de types K-means et GMM utilisant des BoW et Gaussian super vectors ont été envisagées pour générer des dictionnaires. Compte-tenu de la très importante quantité de données à traiter, l’efficacité temporelle ainsi que la précision de la reconnaissance sont des points critiques pour la modélisation des descripteurs de bas-niveau. Ainsi, notre première contribution concerne l’accélération des méthodes K-means, GMM et UMB-MAP, non seulement sur des machines indépendantes, mais également sur des clusters de machines. Afin d’atteindre une vitesse d’exécution la plus importante possible sur une machine unique, nous avons montré que les procédures d’apprentissage des dictionnaires peuvent être réécrites sous forme matricielle pouvant être accélérée efficacement grâce à des infrastructures de calcul parallèle hautement performantes telle que les multi-core CPU ou GPU. En particulier, en s’appuyant sur GPU et un paramétrage adapté, nous avons obtenu une accélération de facteur deux par rapport à une implémentation single thread. Concernant le problème lié au fait que les données ne peuvent pas être stockées dans la mémoire d’une seul ordinateur, nous avons montré que les procédures d’apprentissage des K-means et GMM pouvaient être divisées par un schéma Map-Reduce pouvant être exécuté sur des clusters Hadoop et Spark. En utilisant notre format matriciel sur ce type de clusters, une accélération de 5 à 10 fois a pu être obtenue par rapport aux librairies d’accélération de l’état de l’art. En complément des descripteurs audio bas-niveau, des descripteurs de niveau sémantique intermédiaire tels que l’harmonie de la musique sont également très importants puisqu’ils intègrent des informations d’un niveau d’abstraction supérieur à celles obtenues à partir de la simple forme d’onde. Ainsi, notre seconde contribution consiste en la modélisation de l’information liée aux notes détectées au sein du signal musical, en utilisant des connaissances sur les propriétés de la musique. Cette contribution s’appuie sur deux niveaux de connaissance musicale : le son des notes des instruments ainsi que les statistiques de co-occurrence et de transitions entre notes. Pour le premier niveau, un dictionnaire musical constitué de notes d’instruments a été élaboré à partir du synthétiseur Midi de Logic Pro 9. Basé sur ce dictionnaire, nous avons proposé un algorithme « Positive Constraint Matching Pursuit » (PCMP) pour réaliser la décomposition de la musique. Pour le second niveau, nous avons proposé une décomposition parcimonieuse intégrant les informations de statistiques d’occurrence des notes ainsi que les probabilités de co-occurrence pour guider la sélection des atomes du dictionnaire musical et pour construire un graphe à candidats multiples pour proposer des choix alternatifs lors des sélections successives. Pour la recherche du chemin global optimal de succession des notes, les probabilités de transitions entre notes ont également été incorporées. […]
Digitalized music production exploded in the past decade. Huge amount of data drives the development of effective and efficient methods for automatic music analysis and retrieval. This thesis focuses on performing semantic analysis of music, in particular mood and genre classification, with low level and mid level features since the mood and genre are among the most natural semantic concepts expressed by music perceivable by audiences. In order to delve semantics from low level features, feature modeling techniques like K-means and GMM based BoW and Gaussian super vector have to be applied. In this big data era, the time and accuracy efficiency becomes a main issue in the low level feature modeling. Our first contribution thus focuses on accelerating k-means, GMM and UBM-MAP frameworks, involving the acceleration on single machine and on cluster of workstations. To achieve the maximum speed on single machine, we show that dictionary learning procedures can elegantly be rewritten in matrix format that can be accelerated efficiently by high performance parallel computational infrastructures like multi-core CPU, GPU. In particular with GPU support and careful tuning, we have achieved two magnitudes speed up compared with single thread implementation. Regarding data set which cannot fit into the memory of individual computer, we show that the k-means and GMM training procedures can be divided into map-reduce pattern which can be executed on Hadoop and Spark cluster. Our matrix format version executes 5 to 10 times faster on Hadoop and Spark clusters than the state-of-the-art libraries. Beside signal level features, mid-level features like harmony of music, the most natural semantic given by the composer, are also important since it contains higher level of abstraction of meaning beyond physical oscillation. Our second contribution thus focuses on recovering note information from music signal with musical knowledge. This contribution relies on two levels of musical knowledge: instrument note sound and note co-occurrence/transition statistics. In the instrument note sound level, a note dictionary is firstly built i from Logic Pro 9. With the musical dictionary in hand, we propose a positive constraint matching pursuit (PCMP) algorithm to perform the decomposition. In the inter-note level, we propose a two stage sparse decomposition approach integrated with note statistical information. In frame level decomposition stage, note co-occurrence probabilities are embedded to guide atom selection and to build sparse multiple candidate graph providing backup choices for later selections. In the global optimal path searching stage, note transition probabilities are incorporated. Experiments on multiple data sets show that our proposed approaches outperform the state-of-the-art in terms of accuracy and recall for note recovery and music mood/genre classification
8

Krull, Kirsten. "Lieber Gott, mach mich fromm ... : Zum Wort und Konzept “fromm” im Wandel der Zeit." Doctoral thesis, Umeå : Institutionen för moderna språk, Umeå univ, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-286.

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9

Dang, Qinran. "Brouillard de pollution en Chine. Analyse sémantique différentielle de corpus institutionnels, médiatiques et de microblogues." Thesis, Paris, INALCO, 2020. http://www.theses.fr/2020INAL0009.

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Анотація:
Au fur et à mesure de la dégradation de la qualité de l'air en Chine, de plus en plus d'articles journalistiques et de microblogues (weibo en chinois, équivalent de tweet), provenant de sites web gouvernementaux, médiatiques, de réseaux sociaux, de forums ou de blogs, traitent le problème du « 雾霾 » (wumai en chinois, pour désigner le brouillard de pollution) en Chine sous plusieurs angles : politique, écologique, économique, sociologique, sanitaire, etc. La sémantique des thèmes abordés dans ces textes diffère sensiblement en fonction de leur genre textuel. Dans cette thèse, nous avons pour objectif d'une part, de relever les différents thèmes d'un corpus numérique traitant du wumai et spécifiquement construit à cette fin, et d'autre part, d'interpréter de façon différentielle la sémantique de ces thèmes. Dans un premier temps, nous collectons les données textuelles en langue chinoise relatives au wumai. Ces textes provenant de trois sites web chinois traditionnels et du réseau social sont divisés en quatre genres textuels. Après une série de traitements préparatoires : nettoyage, segmentation, normalisation, annotation, balisage et organisation, nous étudions les caractéristiques des quatre genres textuels du corpus à partir d'une série de variables discriminantes - hyperstructurelles, lexicales, sémiotiques, rhétoriques, modales et syntaxiques - réparties au niveau infratextuel et intratextuel. Ensuite, en nous basant sur les caractéristiques de chaque genre textuel, nous relevons les thèmes principaux exposés dans chaque genre de sous-corpus, et analysons de manière contrastive la sémantique de ces thèmes récupérés. Les résultats d'étude sont interprétés de manière quantitative et qualitative. Les analyses quantitatives s'effectuent à l'aide d'outils textométriques, les interprétations sémantiques s'inscrivent dans le cadre théorique de la sémantique interprétative (SI) proposée par Rastier (1987)
Air pollution has increasingly become a serious problem in China, more and more journalistic articles and miniblogs (weibo in Chinese, equivalent to tweet), comming from governmental or media websites, social networks, blogs and forums, etc., discuss the issue of «雾 霾» (wumai in Chinese, means smog) in China through several angles : political, ecological, economic, sociological, health, etc. The semantics of the themes adressed in these texts differ significantly from each other according to their textual genre. In the framework of our research, our objectif is double-fold : on the one hand, to identify different themes of a digital propose-bulit corpus relating to wumai ; and on the other hand, to interpret differentially the semantics of these themes. Firstly, we collect the textual data written in chinese and related to wumai. These journalistic articles and weibo deriving from three traditional chinese and the social network are divided into four genres of sub-corpus. Secondly, we constitute our corpus through a series of data processing : data cleaning, word segmentation, normalization, POS tagging, benchmarking and data organization. We study the characteristics of the four genres of sub-corpus through a series of discriminating variables - hyperstructural, lexical, semiotic, rhetorical, modal and syntactic - distributed at the infratextual and intratextual level. After that, based on the characteristics of each textual genre, we identify the main themes exposed in each genre of sub-corpus, and analyze the semantics of these identified themes in a contrastive way. Our analysis results are interpreted from two angles : quantitative and qualitative. All statistical analysis are assisted by textometric tools ; and the semantic interpretations are implemented on several fundamental concepts of SI (Sémantique interprétative) proposed by Rastier (1987)
10

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 mit Entitäten und Kategorien dar. Textuelle Informationen werden analysiert und mit den entsprechenden Entitäten und Kategorien versehen, um den Inhalt semantisch erschließen zu können. Eine manuelle Annotation erfordert Domänenwissen und ist sehr zeitaufwendig. Die semantische Annotation von Videodokumenten erfordert besondere Aufmerksamkeit, da inhaltsbasierte Metadaten von Videos aus verschiedenen Quellen stammen, verschiedene Eigenschaften und Zuverlässigkeiten besitzen und daher nicht wie Fließtext behandelt werden können. Die vorliegende Arbeit stellt einen semantischen Analyseprozess für Video-Metadaten vor. Die Eigenschaften der verschiedenen Metadatentypen werden analysiert und ein Konfidenzwert ermittelt. Dieser Wert spiegelt die Korrektheit und die wahrscheinliche Mehrdeutigkeit eines Metadatums wieder. Beginnend mit dem Metadatum mit dem höchsten Konfidenzwert wird der Analyseprozess innerhalb eines Kontexts in absteigender Reihenfolge des Konfidenzwerts durchgeführt. Die bereits analysierten Metadaten dienen als Referenzpunkt für die weiteren Analysen. So kann eine möglichst korrekte Analyse der heterogen strukturierten Daten eines Kontexts sichergestellt werden. Am Ende der Analyse eines Metadatums wird die für den Kontext relevanteste Entität aus einer Liste von Kandidaten identifiziert - das Metadatum wird disambiguiert. Hierfür wurden verschiedene Disambiguierungsalgorithmen entwickelt, die Beschreibungstexte und semantische Beziehungen der Entitätenkandidaten zum gegebenen Kontext in Betracht ziehen. Der Kontext für die Disambiguierung wird für jedes Metadatum anhand der Eigenschaften und Konfidenzwerte zusammengestellt. Der vorgestellte Analyseprozess ist an zwei Hypothesen angelehnt: Um die Analyseergebnisse verbessern zu können, sollten die Metadaten eines Kontexts in absteigender Reihenfolge ihres Konfidenzwertes verarbeitet werden und die Kontextgrenzen von Videometadaten sollten durch Segmentgrenzen definiert werden, um möglichst Kontexte mit kohärentem Inhalt zu erhalten. Durch ausführliche Evaluationen konnten die gestellten Hypothesen bestätigt werden. Der Analyseprozess wurden gegen mehrere State-of-the-Art Methoden verglichen und erzielt verbesserte Ergebnisse in Bezug auf Recall und Precision, besonders für Metadaten, die aus weniger zuverlässigen Quellen stammen. Der Analyseprozess ist Teil eines Videoanalyse-Frameworks und wurde bereits erfolgreich in verschiedenen Projekten eingesetzt.
The Semantic Web provides information contained in the World Wide Web as machine-readable facts. In comparison to a keyword-based inquiry, semantic search enables a more sophisticated exploration of web documents. By clarifying the meaning behind entities, search results are more precise and the semantics simultaneously enable an exploration of semantic relationships. However, unlike keyword searches, a semantic entity-focused search requires that web documents are annotated with semantic representations of common words and named entities. Manual semantic annotation of (web) documents is time-consuming; in response, automatic annotation services have emerged in recent years. These annotation services take continuous text as input, detect important key terms and named entities and annotate them with semantic entities contained in widely used semantic knowledge bases, such as Freebase or DBpedia. Metadata of video documents require special attention. Semantic analysis approaches for continuous text cannot be applied, because information of a context in video documents originates from multiple sources possessing different reliabilities and characteristics. This thesis presents a semantic analysis approach consisting of a context model and a disambiguation algorithm for video metadata. The context model takes into account the characteristics of video metadata and derives a confidence value for each metadata item. The confidence value represents the level of correctness and ambiguity of the textual information of the metadata item. The lower the ambiguity and the higher the prospective correctness, the higher the confidence value. The metadata items derived from the video metadata are analyzed in a specific order from high to low confidence level. Previously analyzed metadata are used as reference points in the context for subsequent disambiguation. The contextually most relevant entity is identified by means of descriptive texts and semantic relationships to the context. The context is created dynamically for each metadata item, taking into account the confidence value and other characteristics. The proposed semantic analysis follows two hypotheses: metadata items of a context should be processed in descendent order of their confidence value, and the metadata that pertains to a context should be limited by content-based segmentation boundaries. The evaluation results support the proposed hypotheses and show increased recall and precision for annotated entities, especially for metadata that originates from sources with low reliability. The algorithms have been evaluated against several state-of-the-art annotation approaches. The presented semantic analysis process is integrated into a video analysis framework and has been successfully applied in several projects for the purpose of semantic video exploration of videos.
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Книги з теми "Semantic analyses":

1

Park, Young Gil. Semantic analyses for storage management optimizations in functional language implementations. New York: Courant Institute of Mathematical Sciences, New York University, 1992.

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2

Seshadri, Venkatadri. Concurrent Semantic Analysis. Toronto: Computer Systems Research Institute, University of Toronto, 1988.

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3

Minker, Wolfgang. Stochastically-based semantic analysis. Boston: Kluwer Academic, 1999.

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4

Minker, Wolfgang, Alex Waibel, and Joseph Mariani. Stochastically-Based Semantic Analysis. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5255-0.

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5

Minker, Wolfgang. Stochastically-based semantic analysis. New York: Springer Science+Business Media, 1999.

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6

Janáková, Martina, Matěj Kos, Michaela Koutská, Veronika Kubecová, Tereza Nahodilová, Lucie Petreková, Anastasia Syrota, et al. Já z hvězd svou moudrost nevyčet… Edited by Alice Jedličková and Stanislava Fedrová. Brno: Masaryk University Press, 2021. http://dx.doi.org/10.5817/cz.muni.m210-8469-2021.

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The volume consists of two parts, one of which comprises analyses of filmic transmediations of Shakespeare’s sonnets (The Sonnetproject, New York Shakespeare Exchange 2013), the other analyses of literary ekphrases (by W. Szymborska, U. Fanthorpe, J. Stone etc.). It results from an Intermedial studies seminar held in 2021 within the program Literature and Intercultural Communication at Masaryk University, Brno. The contributions display various approaches that fall under two main intermedial methods, literature-centered (introduced by Werner Wolf), which focuses primarily on a semantic analysis of the original text, and literature-oriented (as suggested by Irina Rajewsky), which respects the transmediation as an autonomous representation and observes its relations to the pretext mainly retrospectively; and even a comparative one, which involves a translinguistic analysis of translations as intercultural and historical transfers.
7

Goswami, Bijoya. The metaphor, a semantic analysis. Calcutta: Sanskrit Pustak Bhandar, 1992.

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8

Goddard, Cliff. Semantic analysis: A practical introduction. 2nd ed. Oxford: Oxford University Press, 2011.

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9

Goddard, Cliff. Semantic analysis: A practical introduction. Oxford [U.K.]: Oxford University Press, 1998.

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10

D, Pittelman Susan, ed. Semantic feature analysis: Classroom applications. Newark, Del: International Reading Association, 1991.

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Частини книг з теми "Semantic analyses":

1

Landragin, Frédéric. "Semantic Analyses and Representations." In Man-Machine Dialogue, 75–94. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118578681.ch5.

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2

Tiddi, Ilaria, Daniel Balliet, and Annette ten Teije. "Fostering Scientific Meta-analyses with Knowledge Graphs: A Case-Study." In The Semantic Web, 287–303. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49461-2_17.

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3

Karmacharya, Ashish, Christophe Cruz, Frank Boochs, and Franck Marzani. "Use of Geospatial Analyses for Semantic Reasoning." In Knowledge-Based and Intelligent Information and Engineering Systems, 576–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15387-7_61.

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4

Gulden, Jens. "Semantic Support for Visual Data Analyses in Electronic Commerce Settings." In HCI in Business, Government, and Organizations: eCommerce and Innovation, 198–209. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39396-4_18.

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5

Hertogh, C. P. "Semantic Analyses of Hilary Putnam’s Twin Earth (Ft. TE Diagram)." In Integrated Science, 501–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94651-7_24.

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6

Ciavotta, Michele, Vincenzo Cutrona, Flavio De Paoli, Nikolay Nikolov, Matteo Palmonari, and Dumitru Roman. "Supporting Semantic Data Enrichment at Scale." In Technologies and Applications for Big Data Value, 19–39. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78307-5_2.

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AbstractData enrichment is a critical task in the data preparation process in which a dataset is extended with additional information from various sources to perform analyses or add meaningful context. Facilitating the enrichment process design for data workers and supporting its execution on large datasets are only supported to a limited extent by existing solutions. Harnessing semantics at scale can be a crucial factor in effectively addressing this challenge. This chapter presents a comprehensive approach covering both design- and run-time aspects of tabular data enrichment and discusses our experience in making this process scalable. We illustrate how data enrichment steps of a Big Data pipeline can be implemented via tabular transformations exploiting semantic table annotation methods and discuss techniques devised to support the enactment of the resulting process on large tabular datasets. Furthermore, we present results from experimental evaluations in which we tested the scalability and run-time efficiency of the proposed cloud-based approach, enriching massive datasets with promising performance.
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Khelif, Khaled, Rose Dieng-Kuntz, and Pascal Barbry. "Semantic Web Technologies for Interpreting DNA Microarray Analyses: The MEAT System." In Lecture Notes in Computer Science, 148–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11581062_12.

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8

El Ghali, Btihal, Abderrahim El Qadi, Mohamed Ouadou, and Driss Aboutajdine. "Context-Based Query Expansion Method for Short Queries Using Latent Semantic Analyses." In Networked Systems, 468–73. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26850-7_33.

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9

Gailing. "The Analyses of the E-Government Service Portal Based on the Semantic WEB." In Lecture Notes in Electrical Engineering, 481–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-26001-8_63.

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10

Schmidt-Schauß, Manfred. "Concurrent Programming Languages and Methods for Semantic Analyses (Extended Abstract of Invited Talk)." In Lecture Notes in Computer Science, 21–30. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08918-8_2.

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Тези доповідей конференцій з теми "Semantic analyses":

1

Selvaraj, Ganesh, Christof Lutteroth, and Gerald Weber. "Efficient and Standardised Program Analyses using Semantic Methodologies." In 2021 IEEE 15th International Conference on Semantic Computing (ICSC). IEEE, 2021. http://dx.doi.org/10.1109/icsc50631.2021.00018.

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2

Barbuta, Ion. "Verb Semantics and Actantial Structures in Romanian." In Conferință științifică internațională "Filologia modernă: realizări şi perspective în context european". “Bogdan Petriceicu-Hasdeu” Institute of Romanian Philology, Republic of Moldova, 2022. http://dx.doi.org/10.52505/filomod.2022.16.19.

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The article analyses the relationship between the semantic structure and the actantial structure of Romanian verbs. To illustrate these relationships, the semantic classes of verbs were described in relation to the type of actantial structure that characterizes them. The language facts examined show a close connection between the semantic formula and the actantial structure of the verb. Having a bidirectional character, the given relationship is manifested both as an influence of the semantic structure on the actantial structure, and from the opposite direction. Some observations concern the relations established between the semantics of the verb and its actants.
3

Selvaraj, Ganesh, Gerald Weber, and Christof Lutteroth. "Efficient Program Analyses Using Deductive and Semantic Methodologies." In 2017 IEEE 13th International Conference on e-Science (e-Science). IEEE, 2017. http://dx.doi.org/10.1109/escience.2017.61.

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4

Grif, Michael, and Yuliya Manueva. "Analyses of computer Russian sign language translation system with implemented semantic analyses unit." In 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). IEEE, 2017. http://dx.doi.org/10.1109/sibircon.2017.8109874.

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5

Bugheşiu, Alina. "Translating film titles: between language conversion and name coinage." In International Conference on Onomastics “Name and Naming”. Editura Mega, 2022. http://dx.doi.org/10.30816/iconn5/2019/73.

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The paper analyses the translation of film titles from English into Romanian in the context of globalisation and multiculturalism, from the perspective of translation studies, onomastics, semantics, and semiotics. With the help of concepts and precepts pertaining to the aforementioned fields, the research aims at exploring how certain film titles can be viewed as new names (novel linguistic signs) based on their specific semantic content and behaviour. Regardless of their lexical-semantic status, film titles prove to be cultural mediators, facilitating the communication of meaning (i.e., social, ethical, political, economic, etc. values) from the source language and culture to the target ones.
6

Zhan, Qin, Deren Li, Xia Zhang, and Yu Xia. "Ontology-based geographic information semantic metadata integration." In Geoinformatics 2008 and Joint Conference on GIS and Built environment: Advanced Spatial Data Models and Analyses, edited by Lin Liu, Xia Li, Kai Liu, and Xinchang Zhang. SPIE, 2009. http://dx.doi.org/10.1117/12.813113.

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7

Guiu, Jordi Maja. "Using latent semantic analyses and propositionalist methods in text comprehension." In 2017 Computing Conference. IEEE, 2017. http://dx.doi.org/10.1109/sai.2017.8252102.

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8

Grif, Michael, and Yuliya Manueva. "Semantic analyses of text to translate to Russian sign language." In 2016 11th International Forum on Strategic Technology (IFOST). IEEE, 2016. http://dx.doi.org/10.1109/ifost.2016.7884107.

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9

Akba, Firat, Ihsan Tolga Medeni, Mehmet Serdar Guzel, and Iman Askerzade. "Assessment of Iterative Semi-Supervised Feature Selection Learning for Sentiment Analyses: Digital Currency Markets." In 2020 IEEE 14th International Conference on Semantic Computing (ICSC). IEEE, 2020. http://dx.doi.org/10.1109/icsc.2020.00088.

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10

Rong, V., and L. Jiang. "The semantic network and social network analyses of Vancl's micro-blog." In 2011 International Conference on Advanced Intelligence and Awareness Internet (AIAI 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.1487.

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Звіти організацій з теми "Semantic analyses":

1

Білоконенко, Л. А. Semantic integrity of overtext of conflict. Vědecko vydavatelské centrum «Sociosféra-CZ», 2014. http://dx.doi.org/10.31812/0564/1811.

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The article describes the problem of internal area of overtext of conflict. The author analyzes one of the most important qualities of overtext –semantic integrity, that exists because of its ability to coordinate with the extra- textual world, situations and events; transmission of speech actions of people at different stages of the conflict using confrontational tactics and activating in the language semantics specific fragment culture – conflict.
2

AIR FORCE TEST BED WRIGHT-PATTERSON AFB OH. The Semantic Analyzer. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada312762.

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3

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 the method of latent semantic analysis (LSA). The LSA method was tested and confirmed its effectiveness in such areas of processing the native language as modeling the conceptual knowledge of the person; information search, the implementation of which LSA shows much better results than conventional vector methods.
4

Maddox III, William H. Incremental Static Semantic Analysis. Fort Belvoir, VA: Defense Technical Information Center, May 1997. http://dx.doi.org/10.21236/ada604432.

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5

Cai, Jiazhen. A Language for Semantic Analysis. Fort Belvoir, VA: Defense Technical Information Center, May 1993. http://dx.doi.org/10.21236/ada453254.

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6

Lee, Hyun-Jung, HyunJu Shin, Kyu-Hye Lee, Seulah Lee, and Ye-Jin In. Semantic Network Analysis of Gorpcore. Ames (Iowa): Iowa State University. Library, January 2019. http://dx.doi.org/10.31274/itaa.8218.

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7

Woodbridge, Diane, and Randolph Brost. Geospatial-Temporal Semantic Graph Evaluation for Induced Seismicity Analysis. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1562818.

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8

Hendrickson, Bruce Alan. Algorithms and architectures for high performance analysis of semantic graphs. Office of Scientific and Technical Information (OSTI), September 2005. http://dx.doi.org/10.2172/974408.

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9

Sparks, Randall, and Rex Hartson. The Software Therapist: Usability Problem Diagnosis Through Latent Semantic Analysis. Fort Belvoir, VA: Defense Technical Information Center, June 2006. http://dx.doi.org/10.21236/ada458771.

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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.], June 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 “Development a method for utilization of methane tank effluent”. Also, for a demonstration of the perspective of ontological systems for a systematization of research and scientific results, the “Hypothesis test system” ontological graph has created.

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