Academic literature on the topic 'Colour semantics'

The article is devoted to occasional transformations of phraseological units in the modern Russian language. The relevance of the study is based on the attention of scientists to the problems of variability of language units in speech. The novelty of the study is based on insufficient knowledge about transformation capacity of idioms from various thematic, phraseological and semantic groups and fields. One of the groups unites idioms with the colour-component featuring semantic peculiarities, which determine specific transforming processes. The article studies transformations of phraseological units with the component white by means of substituting the component white by occasional components. Analyzing phraseological semantics, the author regards specific features of the colour-adjective both as a phraseological component and a free lexical unit. It is important to mention that color-words may function as a symbol. The article deals with idioms where a colour-component either represents meaningful semantic elements or conveys a symbolic meaning, or it is excluded from phraseological semantics. To define transformation peculiarities of idioms, the author analyzes component substitutions based on paradigmatic connections among colour-words and on their asystemic connections. The results of the research demonstrate dependence of transformation capacity on the degree acolour-component is involved in forming a phraseological meaning: the less a component participates in forming a phraseological meaning, the more possibilities for transformations are presented in speech and, thus, the higher transformation capacity is.

The article deals with cultural, structural and semantic peculiarities of secondary colour terms used in British beauty products. A secondary colour term may be significant aesthetically, culturally, socially, historically, psychologically and linguistically. Secondary colour terms of beauty products reflect people’s experience, mentality, their interpretations of objective reality, their cultural traditions and language features. Such terms may be both universal and ethnospesific. The largest thematic groups of colour terms under analysis are the following: «colours», «flowers», «natural phenomena», «jewels». Minor thematic groups are «monarch», «sweets», «fauna». The most productive word-formation means are word-composition, affixation, blending, shortening.

We argue that the confusing pattern of evidence concerning colour categorization reported by Saunders & van Brakel is unsurprising. On a perspectival view, categorization may follow semantic or pragmatic attributes. Colour lacks clear semantic attributes; as a result categorization is necessarily pragmatic and context-sensitive. This view of colour categorization helps explain the developmental delay in colour naming.

The present article explores English phraseological units with the meaning of emotion that have been fully or partially rethought and have a colour component. The emotive component of the idioms mentioned, is, thus, the object of the present study. In this paper we endeavor to show that the colour nominations which correlated to the concepts of ‘warmth’ and ‘coldness’ define the semantics of the whole idiom which is used for figurative naming human emotions. Looking at the use of colour components in an idiom, we cannot, but consider the key element of an idiom, i.e. idiomaticity, which we understand as the reinterpretation of an expression and the murkiness of its meaning. The article contains the analysis of both idioms which can be traced to free collocations and expressions which are not used in their literal meaning. The group of idioms in question primarily comprises the expressions of murky semantic structure. The examples of colour names exemplify the situation, when reinterpretation can apply no just to a single expression, but also to its components. In this case the colour component of the idiom acquires new semantics, i.e. It no longer means the colour in its literal sense, thus adding the meaning of ‘emotion’ to the semantic structure of the idiom, giving it a new meaning. It is worth pointing out that the number of colour nominations that can be viewed from this perspective is limited. At the same time a huge number of words denoting colours and shades have now emotive meanings whatsoever. However, if we look at other languages, we might find such examples, which in turn can be explained by the fact that people of different cultures perceive the world differently. Language is very good at capturing similarities and differences. The questions raised in the article are of utmost importance as they resonate with the current trends in linguistics, namely with the theory of secondary nomination in various languages and the issues of ideas’ verbalization in phraseological units. Typological and etymological studies of dozens of languages have revealed a set of universal mechanisms in the system of color naming. However, along with universal mechanisms, there are language and culture specific ones. The analysis of such kind gives us a better understanding of this part of the worldview in different cultures.

This paper presents an experimental attempt to investigate the social contexts of certain Old English vocabulary belonging to a particular semantic field, namely that of colour. Sociolinguistic studies are concerned with language variations between social classes, age groups, the sexes and other social groupings, so it is obvious from the outset that this sort of evidence will be difficult to retrieve from a dead language. However, in the case of this particular semantic field, textual information can often be augmented by comparative evidence from the colour semantics of living languages, and by the theories about colour term acquisition and usage developed by linguists and anthropologists.

The article considers color Latin and English adjectives in terms of their semantics and etiology. Indications of adjectives of different colors are illustrated with quotations from works of ancient Roman and Greek writers. Semantic comparisons of the color meanings of Latin adjectives are made against English adjectives in order to reveal usual coincidences or differences. Adjectives of the main color triad denoting black, red and white are analyzed. An attempt is made to explain the causes of these connotations and consider their implementation in the lexical structure of the languages under study.

In the present article, we study more issues of color semantics and symbols. Our research is based on the analysis of mainly Daghestani folklore and ethnographic materials and colour characteristics of traditional textiles, including carpets. We examined two methods of gathering evidence about associations of colours in the minds of people. The first is to use some kind of psychological tests. The second is to use ideas incorporated in folklore and folk litera- ture, as handed down through generations of narrators and listeners. During this process, successive narrators have unconsciously filtered the material to ensure its relevance to their audience. This is clearly an indirect meth- od: nobody actually answers the questions from today’s experimenter, so any colour associations must be inferred from the context. Colours in oral tradition were considered, not in isolation, but rather in contrasting pairs or in sequences. It was found that a specific colour could have different associations in different conditions, and that generally the associations were more abstract than concrete. In surviving woolen rugs and felts and silk embroideries, colours appear to be linked with availability of dyes or decorative preferences rather than symbolism.

Purpose The impact of colour is acknowledged within the marketing field. However, research on colour communication is limited, with most prior studies focusing on pre-defined meanings or colour associations. The purpose of this paper is to reveal insights into colour meaning and propose an alternative view to understanding colour communication. Design/methodology/approach The study takes a conceptual approach and proposes Peircean semiotics to understand colour communication. The proposed framework is applied to analyse a set of colour meanings detected by prior colour research. Findings The study elucidates the underlying mechanism of how colour is read and interpreted in various marketing activities, and how meaning is conveyed. This study addresses this mechanism by identifying colour semantics and colour as a symbolic, iconic and indexical sign. Research limitations/implications The study contributes to the scholarly knowledge of colour in marketing. It enriches the understanding of how consumers interpret representations of single visual signs expressed in contexts such as products, brands and brand packaging to make informed product decisions. Practical implications By understanding consumer interpretation as a stage in the communication process, marketers can develop more informed marketing activities to communicate the intended meanings. This may well strengthen the brand identity and contribute to the perceived brand value. Originality/value By elaborating on how colours convey meanings and the mechanism that explains such meanings, this study demonstrates that colour meaning is far more than mere association. The study contributes to the current knowledge of colour by facilitating a deeper understanding of how consumers interpret representations of single visual cues expressed in various contexts.

Abstract The paper reports on a comparative corpus-based semantic analysis of one colour term as it is used in two languages: English yellow and Polish żółty. The investigation of central and peripheral meanings, based on analyses of corpus concordances draws upon the methodology and constructs of cognitive linguistics, such as prototype-based categories, domains, conceptual metonymy and metaphor. The first objective of this parallel study is to determine the prototypical reference points for yellow and żółty, followed by descriptions of those motivations and mechanisms of meaning extensions which lead to ‘figurative’ usages. The results are tentatively suggested in the form of a general network of related meanings, the entrenchments of which are established on the basis of frequencies attested in samples of 1,500 citations. The outcomes confirm a conceptual proximity reflected in the semantics of these colour terms, which seems to be - perhaps surprisingly - incongruous with the popular association of yellow/żółty with the sun. As the evidence provided by the British National Corpus and the Polish Scientific Publishers' corpus (PWN) reveals, the central and peripheral readings are inspired by the imagery of autumnal and physiological changes, while the semantics of both yellow and żółty reflect the significant influence of cultural factors, unparalleled in the polysemies of the other five basic colour terms.

The Japanese language has a colour term, 'ao' (or 'aoi'), which is usually referred to in bilingual dictionaries as being the equivalent of English 'blue'. Very often, however, it is used to describe things which English speakers would describe as being green. Granny Smith apples are 'ao', so are all Westerners' eyes, regardless of whether they would be described as being 'blue' or 'green' in English. The sky and the sea are prototypically 'ao', but this term is also used to describe lawns, forests, traffic lights and unripe tomatoes. What, then, do Japanese native speakers (henceforth JNS) understand by this term? How do its semantic boundaries relate to those of the term 'midori' (`green')? What is the JNS understanding of the foreign loan words 'guriin' (green) and 'buruu' (blue)? This study pursues these questions seeking to delineate the semantic boundaries of the colour term 'ao'.

L’objectif de cette thèse est d’étudier l’influence de facteurs perceptifs et psycholinguistiques sur la couleur, en tant que construction cognitive. Des millions de teintes peuvent être discriminées alors que moins d’une centaine de termes de couleur existe. L’origine des onze termes basiques identifiés dans la littérature reste débattue, mais serait plutôt perceptive pour les couleurs uniques noir, blanc, rouge, vert, jaune et bleu, et liée à un consensus culturel et langagier pour orange, marron, rose, violet et gris. La couleur aurait aussi une dimension émotionnelle, comme le suggère l’expression langagière « voir rouge ». Dans ce travail, une première étude a examiné l’organisation conceptuelle des 11 termes de couleur basiques. Les participants devaient fournir le niveau de proximité entre chacun des termes pris deux-a-deux. Les résultats ont montré que l’espace coloré conceptuel était corrélé à l’espace coloré perceptif pour toutes les couleurs uniques sauf le jaune. Les autres couleurs basiques s’organisaient selon des facteurs perceptifs, ainsi que culturels, en relation avec leur association à certains concepts ou connaissances sémantiques. Une deuxième étude a permis de préciser la familiarité et la valence émotionnelle de couleurs basiques et non-basiques présentées sous forme de mots ou de patchs. La familiarité et l’arousal étaient supérieurs pour les couleurs basiques présentés sous forme de mots, suggérant une conceptualisation plus accessible que pour les non-basiques et les patchs. Des mesures de valence émotionnelle, arousal, familiarité et d'association aux six émotions basiques pour 33 mots et 33 patchs de couleurs basiques et non-basiques sont fournies comme outil potentiel pour de futures recherches. Une troisième étude se focalise sur un pigment médiéval ayant un spectre de réflectance plat, mais dont des appariements et dénominations confirment une illusion de bleu pour la moitié des observateurs. Une tâche de Stroop a été adaptée pour tester les effets perceptifs et sémantiques sur la présence de cette illusion. Des effets de congruence ont été obtenus en associant ce pigment au mot gris tout comme au mot bleu. Les résultats montraient (a) un ancrage des réponses à la teinte ambigüe vers la catégorie disponible la plus ressemblante, témoignant de l’élasticité de la représentation de couleur, et (b) que l’effet de congruence de la tâche de Stroop dépendait également de facteurs perceptifs, tel un contraste coloré crée en manipulant le fond d’écran. Dans l’ensemble, les résultats amènent de nouveaux éléments précisant l’interaction des traitements perceptifs et psycholinguistiques dans l’interprétation de l’environnement coloré
The objective of this thesis is to study the influence of perceptive and psycholinguistic factors on color, considered as a cognitive construction. Millions of hues can be discriminated while less than a hundred color terms are used. The origin of the eleven basic color terms identified in the literature is still debated, but may be more perceptive for the unique colors black, white, red, green, yellow and blue, and linked to cultural and linguistic consensus for orange, brown, purple and grey. Color may also have an emotional dimension, as denotes for example the expression “seeing red”. In this work, a first study investigated the conceptual organization of the 11 basic color terms. Participants had to provide proximity levels for each two-by-two pairs of the terms. Results showed that the conceptual color space is correlated to the perceptual color space for all unique colors but yellow. Other basic colors were organized based on perceptive factors, and also cultural ones, in relation to their association with certain concepts or semantic knowledge. A second study focalized on familiarity and emotional valence of basic and non-basic colors presented as words or as patches. Familiarity and arousal were higher for basic colors presented as words, which may be explained by a more accessible conceptualization than for non-basic colors and patches. Measures of emotional valence and associations with the six basic emotions for 33 color words and 33 patches, basic and non-basic, are provided as a potential tool for future research. A third study investigated a medieval pigment with a flat reflectance spectrum, but for which pairings and denominations confirmed an illusory blue for half of observers. A Stroop task was adapted to test perceptive and semantic effects on the presence of this illusion. Congruency effects were obtained upon association of this pigment as much with the word grey as with the word blue. Results showed (a) an anchoring of responses to the ambiguous hue biased towards the most resembling available category, testifying to the elasticity of color representation, and (b) that the congruence effect in the Stroop task also depended on perceptive factors, such as a color contrast created by manipulating background color during the task. On the whole, these results bring new elements specifying the interaction of perceptive and psycholinguistic processing in the interpretation of the colored environment

Un dels problemes fonamentals de la visió per computador és representar imatges amb descripcions compactes semànticament rellevants. Aquestes descripcions podrien utilitzar-se en una àmplia varietat d'aplicacions, com la comparació d'imatges, la detecció d'objectes i la cerca de vídeos. L'objectiu principal d'aquesta tesi és estudiar les representacions d'imatges des de dos aspectes: les descripcions de color i les descripcions profundes amb xarxes neuronals. A la primera part de la tesi partim de descripcions de color modelades a mà. Existeixen noms comuns en diverses llengües per als colors bàsics, i proposem un mètode per estendre els noms de colors addicionals d'acord amb la seva naturalesa complementària als bàsics. Això ens permet calcular representacions de noms de colors de longitud arbitrària amb un alt poder discriminatori. Els experiments psicofísics confirmen que el mètode proposat supera els marcs de referència existents. En segon lloc, en agregar estratègies d'atenció, aprenem descripcions de colors profundes amb xarxes neuronals a partir de dades amb anotacions per a la imatge, en comptes de per a cada un dels píxels. L'estratègia d'atenció aconsegueix identificar correctament les regions rellevants per a cada classe que volem avaluar. L'avantatge de l'enfocament proposat és que els noms de colors a utilitzar es poden aprendre específicament per a dominis dels que no existeixen anotacions a nivell de píxel. A la segona part de la tesi, ens centrem en les descripcions profundes amb xarxes neuronals. En primer lloc, abordem el problema de comprimir grans xarxes de descriptors en xarxes més petites, mantenint un rendiment similar. Proposem destil·lar les mètriques d'una xarxa mestre a una xarxa estudiant. S'introdueixen dues noves funcions de cost per a modelar la comunicació de la xarxa mestre a una xarxa estudiant més petita: una basada en un mestre absolut, on l'estudiant pretén produir els mateixos descriptors que el mestre, i una altra basada en un mestre relatiu, on les distàncies entre parells de punts de dades són comunicades del mestre a l'alumne. A més, s'han investigat diversos aspectes de la destil·lació per a les representacions, incloses les capes d'atenció, l'aprenentatge semi-supervisat i la destil·lació de qualitat creuada. Finalment, s'estudia un altre aspecte de l'aprenentatge per mètrica profund, l'aprenentatge continuat. Observem que es produeix una variació del coneixement après durant l'entrenament de noves tasques. En aquesta tesi es presenta un mètode per estimar la variació semàntica en funció de la variació que experimenten les dades de la tasca actual durant el seu aprenentatge. Tenint en compte aquesta estimació, les tasques anteriors poden ser compensades, millorant així el seu rendiment. A més, mostrem que les xarxes de descripcions profundes pateixen significativament menys oblits catastròfics en comparació amb les xarxes de classificació quan aprenen noves tasques.
Uno de los problemas fundamentales de la visión por computador es representar imágenes con descripciones compactas semánticamente relevantes. Estas descripciones podrían utilizarse en una amplia variedad de aplicaciones, como la comparación de imágenes, la detección de objetos y la búsqueda de vídeos. El objetivo principal de esta tesis es estudiar las representaciones de imágenes desde dos aspectos: las descripciones de color y las descripciones profundas con redes neuronales. En la primera parte de la tesis partimos de descripciones de color modeladas a mano. Existen nombres comunes en varias lenguas para los colores básicos, y proponemos un método para extender los nombres de colores adicionales de acuerdo con su naturaleza complementaria a los básicos. Esto nos permite calcular representaciones de nombres de colores de longitud arbitraria con un alto poder discriminatorio. Los experimentos psicofísicos confirman que el método propuesto supera a los marcos de referencia existentes. En segundo lugar, al agregar estrategias de atención, aprendemos descripciones de colores profundos con redes neuronales a partir de datos con anotaciones para la imagen en vez de para cada uno de los píxeles. La estrategia de atención logra identificar correctamente las regiones relevantes para cada clase que queremos evaluar. La ventaja del enfoque propuesto es que los nombres de colores a usar se pueden aprender específicamente para dominios de los que no existen anotaciones a nivel de píxel. En la segunda parte de la tesis, nos centramos en las descripciones profundas con redes neuronales. En primer lugar, abordamos el problema de comprimir grandes redes de descriptores en redes más pequeñas, manteniendo un rendimiento similar. Proponemos destilar las métricas de una red maestro a una red estudiante. Se introducen dos nuevas funciones de coste para modelar la comunicación de la red maestro a una red estudiante más pequeña: una basada en un maestro absoluto, donde el estudiante pretende producir los mismos descriptores que el maestro, y otra basada en un maestro relativo, donde las distancias entre pares de puntos de datos son comunicadas del maestro al alumno. Además, se han investigado diversos aspectos de la destilación para las representaciones, incluidas las capas de atención, el aprendizaje semi-supervisado y la destilación de calidad cruzada. Finalmente, se estudia otro aspecto del aprendizaje por métrica profundo, el aprendizaje continuado. Observamos que se produce una variación del conocimiento aprendido durante el entrenamiento de nuevas tareas. En esta tesis se presenta un método para estimar la variación semántica en función de la variación que experimentan los datos de la tarea actual durante su aprendizaje. Teniendo en cuenta esta estimación, las tareas anteriores pueden ser compensadas, mejorando así su rendimiento. Además, mostramos que las redes de descripciones profundas sufren significativamente menos olvidos catastróficos en comparación con las redes de clasificación cuando aprenden nuevas tareas.
One of the fundamental problems of computer vision is to represent images with compact semantically relevant embeddings. These embeddings could then be used in a wide variety of applications, such as image retrieval, object detection, and video search. The main objective of this thesis is to study image embeddings from two aspects: color embeddings and deep embeddings. In the first part of the thesis we start from hand-crafted color embeddings. We propose a method to order the additional color names according to their complementary nature with the basic eleven color names. This allows us to compute color name representations with high discriminative power of arbitrary length. Psychophysical experiments confirm that our proposed method outperforms baseline approaches. Secondly, we learn deep color embeddings from weakly labeled data by adding an attention strategy. The attention branch is able to correctly identify the relevant regions for each class. The advantage of our approach is that it can learn color names for specific domains for which no pixel-wise labels exists. In the second part of the thesis, we focus on deep embeddings. Firstly, we address the problem of compressing large embedding networks into small networks, while maintaining similar performance. We propose to distillate the metrics from a teacher network to a student network. Two new losses are introduced to model the communication of a deep teacher network to a small student network: one based on an absolute teacher, where the student aims to produce the same embeddings as the teacher, and one based on a relative teacher, where the distances between pairs of data points is communicated from the teacher to the student. In addition, various aspects of distillation have been investigated for embeddings, including hint and attention layers, semi-supervised learning and cross quality distillation. Finally, another aspect of deep metric learning, namely lifelong learning, is studied. We observed some drift occurs during training of new tasks for metric learning. A method to estimate the semantic drift based on the drift which is experienced by data of the current task during its training is introduced. Having this estimation, previous tasks can be compensated for this drift, thereby improving their performance. Furthermore, we show that embedding networks suffer significantly less from catastrophic forgetting compared to classification networks when learning new tasks.

SUMMARY The names of colours in the Lithuanian dialects have not been investigated at all; therefore, the topic of the present work for Master of Arts “The Names of Colours in Dialects” is relevant and important. The aim of the work is to investigate and describe the names of colours in dialects. The main objectives of the work: 1) to identify the frequency of the use of the names of colours; 2) to identify the kind of things the characteristic colour of which is marked by the names of colours; 3) to identify the semantic contents of the names of colours. The methods of the work: descriptive, statistical, the method of semantic analysis. The material has been selected from 6 dialectal dictionaries: “Dictionary of Daukšiai Region” by V. Labutis; “Dictionary of Druskininkai Dialect” by G. Naktinienė, A. Paulauskienė, V. Vitkauskas; “Dictionary of Lazūnai Dialect” by J. Petrauskas, A. Vidugiris, “Dictionary of North East Dūnininkai Subdialects” by V. Vitkauskas; Vol. 1 and Vol. 2 of “Dictionary of Zanavykai Subdialect” by R. Bacevičiūtė, G. Čepaitienė, V. Sakalauskienė, J. Švambarytė, K. Vosylytė; “Dictionary of Zietela Subdialect” by A. Vidugiris. The object of the work: 1) combinations in which certain two denotats are compared according to the common feature of a colour; 2) usually metaphoric combinations epithet + noun marking a characteristic feature (the combinations in which the name of a colour has a secondary meaning have been rejected); 3) metaphoric derivatives... [to full text]

The purpose of my research is to investigate the processes and mechanisms of semantic change in two basic colour terms: green in English and zielony in Polish. My research methodology focuses on existing English and Polish corpora, namely the British National Corpus, the Corpus of Contemporary American English and the National Corpus of Polish. I analyze my data both synchronically and diachronically (comparing two periods of time: 1985-1994, 2001-2010). My study also evaluates the use of corpus evidence for the purpose of investigating the processes of semantic change. Various factors have caused the Basic Colour Terms (BCTs) green and zielony to form metaphorical and metonymical meanings that have been conventionalised in English and Polish respectively. These processes have long played an important role in our understanding of the surrounding world. Investigating semantic changes in these two colour terms and two periods of time is key to my cross-cultural research, and this entails answering the questions: Why do green and zielony develop different senses? What are the similarities and differences between these two colour terms? How have these two terms developed and might they develop new senses in future? Are metonymy and metaphor the only mechanisms of semantic change in green and zielony? The semantic change of each colour term is shown through a network of meanings, where all the different meanings of green and zielony are presented together with their stages of development in the form of codes. Additionally each stage is a separate prototype. The aim of the network is to show the etymological prototype and various senses (new prototypes) developing from this original sense. Moreover the number of occurrences of each prototype might indicate which meaning or meanings are most common or even central in a given language at a certain point in time. The network of meanings is a visual representation of semantic change and processes involved in it. A very detailed analysis of corpus examples provides an insight into the uses of green and zielony in English and Polish respectively. The data are analyzed both qualitatively and quantitatively. Such an approach offers a thorough analysis of the two terms in question.

Not all combinations of nouns and adjectives are possible and some are clearly more fre- quent than other. With this in mind this study aims to construct semantic representations of the two types of parts-of-speech, based on how they occur with each other. By inves- tigating these ideas via automatic natural language processing paradigms the study aims to find evidence for a semantic mutuality between nouns and adjectives, this notion sug- gests that the semantics of a noun can be captured by its corresponding adjectives, and vice versa. Furthermore, a set of proposed categories of adjectives and nouns, based on the ideas of Gärdenfors (2014), is presented that hypothetically are to fall in line with the produced representations. Four evaluation methods were used to analyze the result rang- ing from subjective discussion of nearest neighbours in vector space to accuracy generated from manual annotation. The result provided some evidence for the hypothesis which suggests that further research is of value.

We introduce normal coordinates in Riemannspaces as a tool to construct color-weak compensation methods.We use them to compute color stimuli for a color weakobservers that result in the same color perception as theoriginal image presented to a color normal observer in the sensethat perceived color-differences are identical for both. Thecompensation is obtained through a color-difference-preservingmap, i.e. an isometry between the 3D color spaces of a colornormaland any given color-weak observer. This approach usesdiscrimination threshold data and is free from approximationerrors due to local linearization. The performance is evaluatedwith the help of semantic differential (SD) tests.
Swedish Foundation for Strategic Research through grant IIS11-0081.
European Community’s Seventh Framework Programme FP7/2007-2013 - Challenge 2 Cognitive Systems, Interaction, Robotics - under grant agreement No 247947 - GARNICS.

[EN] The long-lasting trend in the field of computation of stress and resource distribution has found its way into computer networks via the concept of peer-to-peer (P2P) connectivity. P2P is a symmetrical model, where each network node is enabled a comparable range of capacities and resources. It stands in a stark contrast to the classical, strongly asymmetrical client-server approach. P2P, originally considered only a complimentary, server-side structure to the straightforward client-server model, has been shown to have the substantial potential on its own, with multiple, widely known benefits: good fault tolerance and recovery, satisfactory scalability and intrinsic load distribution. However, contrary to client-server, P2P networks require sophisticated solutions on all levels, ranging from network organization, to resource location and managing. In this thesis we address one of the key issues of P2P networks: performing efficient resource searches of semantic nature under realistic, dynamic conditions. There have been numerous solutions to this matter, with evolutionary, stigmergy-based, and simple computational foci, but few attempt to resolve the full range of challenges this problem entails. To name a few: real-life P2P networks are rarely static, nodes disconnect, reconnect and change their content. In addition, a trivial incorporation of semantic searches into well-known algorithms causes significant decrease in search efficiency. In our research we build a solution incrementally, starting with the classic Ant Colony System (ACS) within the Ant Colony Optimization metaheuristic (ACO). ACO is an algorithmic framework used for solving combinatorial optimization problems that fits contractually the problem very well, albeit not providing an immediate solution to any of the aforementioned problems. First, we propose an efficient ACS variant in structured (hypercube structured) P2P networks, by enabling a path-post processing algorithm, which called Tabu Route Optimization (TRO). Next, we proceed to resolve the issue of network dynamism with an ACO-compatible information diffusion approach. Consequently, we attempt to incorporate the semantic component of the searches. This initial approximation to the problem was achieved by allowing ACS to differentiate between search types with the pheromone-per-concept idea. We called the outcome of this merger Routing Concept ACS (RC-ACS). RC-ACS is a robust, static multipheromone implementation of ACS. However, we were able to conclude from it that the pheromone-per-concept approach offers only limited scalability and cannot be considered a global solution. Thus, further progress was made in this respect when we introduced to RC-ACS our novel idea: dynamic pheromone creation, which replaces the static one-to-one assignment. We called the resulting algorithm Angry Ant Framework (AAF). In AAF new pheromone levels are created as needed and during the search, rather than prior to it. The final step was to enable AAF, not only to create pheromone levels, but to reassign them to optimize the pheromone usage. The resulting algorithm is called EntropicAAF and it has been evaluated as one of the top-performing algorithms for P2P semantic searches under all conditions.
[ES] La popular tendencia de distribución de carga y recursos en el ámbito de la computación se ha transmitido a las redes computacionales a través del concepto de la conectividad peer-to-peer (P2P). P2P es un modelo simétrico, en el cual a cada nodo de la red se le otorga un rango comparable de capacidades y recursos. Se trata de un fuerte contraste con el clásico y fuertemente asimétrico enfoque cliente-servidor. P2P, originalmente considerado solo como una estructura del lado del servidor complementaria al sencillo modelo cliente-servidor, ha demostrado tener un potencial considerable por sí mismo, con múltiples beneficios ampliamente conocidos: buena tolerancia a fallos y recuperación, escalabilidad satisfactoria y distribución de carga intrínseca. Sin embargo, al contrario que el modelo cliente-servidor, las redes P2P requieren de soluciones sofisticadas a todos los niveles, desde la organización de la red hasta la gestión y localización de recursos. Esta tesis aborda uno de los problemas principales de las redes P2P: la búsqueda eficiente de recursos de naturaleza semántica bajo condiciones dinámicas y realistas. Ha habido numerosas soluciones a este problema basadas en enfoques evolucionarios, estigmérgicos y simples, pero pocas han tratado de resolver el abanico completo de desafíos. En primer lugar, las redes P2P reales son raramente estáticas: los nodos se desconectan, reconectan y cambian de contenido. Además, la incorporación trivial de búsquedas semánticas en algoritmos conocidos causa un decremento significativo de la eficiencia de la búsqueda. En esta investigación se ha construido una solución de manera incremental, comenzando por el clásico Ant Colony System (ACS) basado en la metaheurística de Ant Colony Optimization (ACO). ACO es un framework algorítmico usado para búsquedas en grafos que encaja perfectamente con las condiciones del problema, aunque no provee una solución inmediata a las cuestiones mencionadas anteriormente. En primer lugar, se propone una variante eficiente de ACS para redes P2P estructuradas (con estructura de hipercubo) permitiendo el postprocesamiento de las rutas, al que hemos denominado Tabu Route Optimization (TRO). A continuación, se ha tratado de resolver el problema del dinamismo de la red mediante la difusión de la información a través de una estrategia compatible con ACO. En consecuencia, se ha tratado de incorporar el componente semántico de las búsquedas. Esta aproximación inicial al problema ha sido lograda permitiendo al ACS diferenciar entre tipos de búsquedas através de la idea de pheromone-per-concept. El resultado de esta fusión se ha denominado Routing Concept ACS (RC-ACS). RC-ACS es una implementación multiferomona estática y robusta de ACS. Sin embargo, a partir de esta implementación se ha podido concluir que el enfoque pheromone-per-concept ofrece solo escalabilidad limitada y que no puede ser considerado una solución global. Por lo tanto, para lograr una mejora a este respecto, se ha introducido al RC-ACS una novedosa idea: la creación dinámica de feromonas, que reemplaza la asignación estática uno a uno. En el algoritmo resultante, al que hemos denominado Angry Ant Framework (AAF), los nuevos niveles de feromona se crean conforme se necesitan y durante la búsqueda, en lugar de crearse antes de la misma. La mejora final se ha obtenido al permitir al AAF no solo crear niveles de feromona, sino también reasignarlos para optimizar el uso de la misma. El algoritmo resultante se denomina EntropicAAF y ha sido evaluado como uno de los algoritmos más exitosos para las búsquedas semánticas P2P bajo todas las condiciones.
[CAT] La popular tendència de distribuir càrrega i recursos en el camp de la computació s'ha estès cap a les xarxes d'ordinadors a través del concepte de connexions d'igual a igual (de l'anglès, peer to peer o P2P). P2P és un model simètric on cada node de la xarxa disposa del mateix nombre de capacitats i recursos. P2P, considerat originàriament només una estructura situada al servidor complementària al model client-servidor simple, ha provat tindre el suficient potencial per ella mateixa, amb múltiples beneficis ben coneguts: una bona tolerància a errades i recuperació, una satisfactòria escalabilitat i una intrínseca distribució de càrrega. No obstant, contràriament al client-servidor, les xarxes P2P requereixen solucions sofisticades a tots els nivells, que varien des de l'organització de la xarxa a la localització de recursos i la seua gestió. En aquesta tesi s'adreça un dels problemes clau de les xarxes P2P: ser capaç de realitzar eficientment cerques de recursos de naturalesa semàntica sota condicions realistes i dinàmiques. Existeixen nombroses solucions a aquest tema basades en la computació simple, evolutiva i també basades en l'estimèrgia (de l'anglès, stigmergy), però pocs esforços s'han realitzat per intentar resoldre l'ampli conjunt de reptes existent. En primer lloc, les xarxes P2P reals són rarament estàtiques: els nodes es connecten, desconnecten i canvien els seus continguts. A més a més, la incorporació trivial de cerques semàntiques als algorismes existents causa una disminució significant de l'eficiència de la cerca. En aquesta recerca s'ha construït una solució incremental, començant pel sistema clàssic de colònia de formigues (de l'anglés, Ant Colony System o ACS) dins de la metaheurística d'optimització de colònies de formigues (de l'anglès, Ant Colony Optimization o ACO). ACO és un entorn algorísmic utilitzat per cercar en grafs i que aborda el problema de forma satisfactòria, tot i que no proveeix d'una solució immediata a cap dels problemes anteriorment mencionats. Primer, s'ha proposat una variant eficient d'ACS en xarxes P2P estructurades (en forma d'hipercub) a través d'un algorisme de processament post-camí el qual s'ha anomenat en anglès Tabu Route Optimization (TRO). A continuació, s'ha procedit a resoldre el problema del dinamisme de les xarxes amb un enfocament de difusió d'informació compatible amb ACO. Com a conseqüència, s'ha intentat incorporar la component semàntica de les cerques. Aquest enfocament inicial al problema s'ha realitzat permetent a ACS diferenciar entre tipus de cerques amb la idea de ''feromona per concepte'', i s'ha anomenat a aquest producte Routing Concept ACS o RC-ACS. RC-ACS és una implementació multi-feromona robusta i estàtica d'ACS. No obstant, s'ha pogut concloure que l'enfocament de feromona per concepte ofereix només una escalabilitat limitada i no pot ser considerada una solució global. En aquest respecte s'ha realitzat progrés posteriorment introduint una nova idea a RC-ACS: la creació dinàmica de feromones, la qual reemplaça a l'assignació un a un de les mateixes. A l'algorisme resultant se l'ha anomenat en anglès Angry Ant Framework (AAF). En AAF es creen nous nivells de feromones a mesura que es necessiten durant la cerca, i no abans d'aquesta. El progrés final s'ha aconseguit quan s'ha permès a AAF, no sols crear nivells de feromones, sinó reassignar-los per optimitzar la utilització de feromones. L'algorisme resultant s'ha anomenat EntropicAAF i ha sigut avaluat com un dels algorismes per a cerques semàntiques P2P amb millors prestacions.
Krynicki, KK. (2016). Ant Colony Algorithms for the Resolution of Semantic Searches in P2P Networks [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/61293
TESIS
Premiado

This study investigates the effects of language contact, particularly contact with English, on the Korean language. One chapter reviews the historical and sociocultural background of the three major influences on modern Korean--Chinese, Japanese, and English. Another chapter discusses the patterns of English lexical borrowing and semantic changes that occur during the borrowing process, both in the English words and related Korean words in the same semantic fields. A third chapter describes some other uses of English in Korea, including advertising, product naming, and current slang. Finally, a substantial part of the dissertation is devoted to a study of the influence of contact with English on the Korean semantic field of color. Data were elicited from forty-four consultants in two age groups (18-24 and 47-85) using Munsell color samples as stimulus materials in a three-part interview procedure based on the work of MacLaury (1986, 1992) that asked consultants to: (1) name 330 different loose color chips to determine their individual vocabulary of color terms; (2) choose a focus for each term from an array of the same color chips; and (3) map the range of each term on the array. It was found that consultants varied greatly in the number of color categories they used, with age, sex, level of education, and attitude toward the topic as possible influences. A number of English color terms were used by consultants of both sexes and in both age groups, and it is suggested that two of these, orange and pink, have possibly become the most basic terms for naming their categories for some of the consultants. It is also suggested that these two terms, as well as contact with English in general, are partly responsible for certain semantic changes in related Korean words. Another specific finding was that Korean seems to have color categories in addition to Berlin and Kay's (1969) eleven basic categories, including LIGHT BLUE, DARK BLUE, and YELLOW-GREEN, which is similar to the situation that Stanlaw (1987) found in Japanese.

Predicting olfactory perception with an electronic nose can aid in the design and evaluation of olfactory-based experiences. We investigate whether the human perception of odours can be predicted outside the bounds of perceived pleasantness and semantic descriptors. We tuned an electronic nose to predict an odour's colour in the CIELAB colour space using human judgements. This revealed that the crossmodal associations people have towards colours could be predicted. Our electronic nose system can predict an odour's colour with a 70 – 81% machine-human similarity rating. These findings suggest a systematic and predictable link exists between the chemical features of odours and the colour associated to them. These findings highlight the possibilities of predicting human olfactory perception using an electronic nose.

Recent deep Re-ID models mainly focus on learning high-level semantic features, while failing to explicitly explore color information which is one of the most important cues for person Re-ID. In this paper, we propose a novel Color-Sensitive Re-ID to take full advantage of color information. On one hand, we train our model with real and fake images. By using the extra fake images, more color information can be exploited and it can avoid overfitting during training. On the other hand, we also train our model with images of the same person with different colors. By doing so, features can be forced to focus on the color difference in regions. To generate fake images with specified colors, we propose a novel Color Translation GAN (CTGAN) to learn mappings between different clothing colors and preserve identity consistency among the same clothing color. Extensive evaluations on two benchmark datasets show that our approach significantly outperforms state-of-the-art Re-ID models.

Visual Information Extraction (VIE) task aims to extract key information from multifarious document images (e.g., invoices and purchase receipts). Most previous methods treat the VIE task simply as a sequence labeling problem or classification problem, which requires models to carefully identify each kind of semantics by introducing multimodal features, such as font, color, layout. But simply introducing multimodal features can't work well when faced with numeric semantic categories or some ambiguous texts. To address this issue, in this paper we propose a novel key-value matching model based on a graph neural network for VIE (MatchVIE). Through key-value matching based on relevancy evaluation, the proposed MatchVIE can bypass the recognitions to various semantics, and simply focuses on the strong relevancy between entities. Besides, we introduce a simple but effective operation, Num2Vec, to tackle the instability of encoded values, which helps model converge more smoothly. Comprehensive experiments demonstrate that the proposed MatchVIE can significantly outperform previous methods. Notably, to the best of our knowledge, MatchVIE may be the first attempt to tackle the VIE task by modeling the relevancy between keys and values and it is a good complement to the existing methods.

In fashion recommender systems, each product usually consists of multiple semantic attributes (e.g., sleeves, collar, etc). When making cloth decisions, people usually show preferences for different semantic attributes (e.g., the clothes with v-neck collar). Nevertheless, most previous fashion recommendation models comprehend the clothing images with a global content representation and lack detailed understanding of users' semantic preferences, which usually leads to inferior recommendation performance. To bridge this gap, we propose a novel Semantic Attribute Explainable Recommender System (SAERS). Specifically, we first introduce a fine-grained interpretable semantic space. We then develop a Semantic Extraction Network (SEN) and Fine-grained Preferences Attention (FPA) module to project users and items into this space, respectively. With SAERS, we are capable of not only providing cloth recommendations for users, but also explaining the reason why we recommend the cloth through intuitive visual attribute semantic highlights in a personalized manner. Extensive experiments conducted on real-world datasets clearly demonstrate the effectiveness of our approach compared with the state-of-the-art methods.

The article investigates functional techniques of extralinguistic expression in multimedia texts; the effectiveness of figurative expressions as a reaction to modern events in Ukraine and their influence on the formation of public opinion is shown. Publications of journalists, broadcasts of media resonators, experts, public figures, politicians, readers are analyzed. The language of the media plays a key role in shaping the worldview of the young political elite in the first place. The essence of each statement is a focused thought that reacts to events in the world or in one’s own country. The most popular platform for mass information and social interaction is, first of all, network journalism, which is characterized by mobility and unlimited time and space. Authors have complete freedom to express their views in direct language, including their own word formation. Phonetic, lexical, phraseological and stylistic means of speech create expression of the text. A figurative word, a good aphorism or proverb, a paraphrased expression, etc. enhance the effectiveness of a multimedia text. This is especially important for headlines that simultaneously inform and influence the views of millions of readers. Given the wide range of issues raised by the Internet as a medium, research in this area is interdisciplinary. The science of information, combining language and social communication, is at the forefront of global interactions. The Internet is an effective source of knowledge and a forum for free thought. Nonlinear texts (hypertexts) – «branching texts or texts that perform actions on request», multimedia texts change the principles of information collection, storage and dissemination, involving billions of readers in the discussion of global issues. Mastering the word is not an easy task if the author of the publication is not well-read, is not deep in the topic, does not know the psychology of the audience for which he writes. Therefore, the study of media broadcasting is an important component of the professional training of future journalists. The functions of the language of the media require the authors to make the right statements and convincing arguments in the text. Journalism education is not only knowledge of imperative and dispositive norms, but also apodictic ones. In practice, this means that there are rules in media creativity that are based on logical necessity. Apodicticity is the first sign of impressive language on the platform of print or electronic media. Social expression is a combination of creative abilities and linguistic competencies that a journalist realizes in his activity. Creative self-expression is realized in a set of many important factors in the media: the choice of topic, convincing arguments, logical presentation of ideas and deep philological education. Linguistic art, in contrast to painting, music, sculpture, accumulates all visual, auditory, tactile and empathic sensations in a universal sign – the word. The choice of the word for the reproduction of sensory and semantic meanings, its competent use in the appropriate context distinguishes the journalist-intellectual from other participants in forums, round tables, analytical or entertainment programs. Expressive speech in the media is a product of the intellect (ability to think) of all those who write on socio-political or economic topics. In the same plane with him – intelligence (awareness, prudence), the first sign of which (according to Ivan Ogienko) is a good knowledge of the language. Intellectual language is an important means of organizing a journalistic text. It, on the one hand, logically conveys the author’s thoughts, and on the other – encourages the reader to reflect and comprehend what is read. The richness of language is accumulated through continuous self-education and interesting communication. Studies of social expression as an important factor influencing the formation of public consciousness should open up new facets of rational and emotional media broadcasting; to trace physical and psychological reactions to communicative mimicry in the media. Speech mimicry as one of the methods of disguise is increasingly becoming a dangerous factor in manipulating the media. Mimicry is an unprincipled adaptation to the surrounding social conditions; one of the most famous examples of an animal characterized by mimicry (change of protective color and shape) is a chameleon. In a figurative sense, chameleons are called adaptive journalists. Observations show that mimicry in politics is to some extent a kind of game that, like every game, is always conditional and artificial.