Search (1077 results, page 1 of 54)

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Abstract

Can we 'see' or 'find' consciousness in the brain? How can we create working definitions of consciousness and subjectivity, informed by what contemporary research and technology have taught us about how the brain works? How do neuronal processes in the brain relate to our experience of a personal identity?To explore these and other questions, Georg Northoff turns to examples of unhealthy minds. By investigating consciousness through its absence in a vegetative state, for example, we can develop a model for understanding its presence in an active, healthy person. By examining instances of distorted self-recognition in people with psychiatric disorders, like schizophrenia, we can begin to understand how the experience of ?self? is established in a stable brain.Taking an integrative approach to understanding the self, consciousness, and what it means to be mentally healthy, this book brings insights from neuroscience to bear on philosophical questions.

LCSH

Brain / Physiology
Brain / physiology

Subject

Brain / Physiology
Brain / physiology

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Abstract

The purpose of this work is to develop an ontology-based framework for developing an information retrieval system to cater to specific queries of users. For creating such an ontology, information was obtained from a wide range of information sources involved with brain tumour study and research. The information thus obtained was compiled and analysed to provide a standard, reliable and relevant information base to aid our proposed system. Facet-based methodology has been used for ontology formalization for quite some time. Ontology formalization involves different steps such as identification of the terminology, analysis, synthesis, standardization and ordering. A vast majority of the ontologies being developed nowadays lack flexibility. This becomes a formidable constraint when it comes to interoperability. We found that a facet-based method provides a distinct guideline for the development of a robust and flexible model concerning the domain of brain tumours. Our attempt has been to bridge library and information science and computer science, which itself involved an experimental approach. It was discovered that a faceted approach is really enduring, as it helps in the achievement of properties like navigation, exploration and faceted browsing. Computer-based brain tumour ontology supports the work of researchers towards gathering information on brain tumour research and allows users across the world to intelligently access new scientific information quickly and efficiently.

Date

12. 3.2016 13:21:22

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Abstract

The central problem with understanding brain and mind is the neural code issue: understanding the matter of our brain as basis for the phenomena of our mind. The richness with which our mind represents our environment, the parsimony of genetic data, the tremendous efficiency with which the brain learns from scant sensory input and the creativity with which our mind constructs mental worlds all speak in favor of mind as an emergent phenomenon. This raises the further issue of how the neural code supports these processes of organization. The central point of this communication is that the neural code has the form of structured net fragments that are formed by network self-organization, activate and de-activate on the functional time scale, and spontaneously combine to form larger nets with the same basic structure.

Date

27.12.2020 16:56:22

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Abstract

The results of diagnostic survey showing the way in which the students of pedagogy create and organize their digital personal environment, used in individual learning process were presented in the paper. 272 students of Cracow schools were covered by the survey. It has been analyzed the sources of information they mostly used, ways of storage, organizing and aggregating of information and the tools used for this purpose. The ability to design and build a digital personal learning environment (PLE) is in today's world a very important element of lifelong learning and enables efficient functioning in the information society.

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

Argues that Beghtol's (2003) use of the terms "naive classification" and "professional classification" is valid because they are nominal definitions and that the distinction between these two types of classification points up the need for researchers in knowledge organization to broaden their scope beyond traditional classification systems intended for information retrieval. Argues that work by Beghtol (2003), Kwasnik (1999) and Bailey (1994) offer direction for the development of a classification of classifications based on the pragmatic dimensions of extant classification systems. Bezugnahme auf: Beghtol, C.: Naïve classification systems and the global information society. In: Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine. Würzburg: Ergon Verlag 2004. S.19-22. (Advances in knowledge organization; vol.9)

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Abstract

As we move toward implementing RDA: Resource Description and Access, I have been pondering how we might manage the transition to new cataloging rules effectively. I was a practicing cataloger when Anglo-American Cataloguing Rules, 2nd ed., was implemented and remember it as a traumatic process. The published literature that I found focused on the impact of the then-new rules on specific formats and genres, but no one seems to have addressed the process of implementation and what type of training worked well (or did not). After a bit of sleuthing, I found a pertinent presentation by Arlene G. Taylor, which she graciously agreed to repurpose as this guest editorial.

Date

10. 9.2000 17:38:22

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Abstract

Are art and science separated by an unbridgeable divide? Can they find common ground? In this new book, neuroscientist Eric R. Kandel, whose remarkable scientific career and deep interest in art give him a unique perspective, demonstrates how science can inform the way we experience a work of art and seek to understand its meaning. Kandel illustrates how reductionism?the distillation of larger scientific or aesthetic concepts into smaller, more tractable components?has been used by scientists and artists alike to pursue their respective truths. He draws on his Nobel Prize-winning work revealing the neurobiological underpinnings of learning and memory in sea slugs to shed light on the complex workings of the mental processes of higher animals. In Reductionism in Art and Brain Science, Kandel shows how this radically reductionist approach, applied to the most complex puzzle of our time?the brain?has been employed by modern artists who distill their subjective world into color, form, and light. Kandel demonstrates through bottom-up sensory and top-down cognitive functions how science can explore the complexities of human perception and help us to perceive, appreciate, and understand great works of art. At the heart of the book is an elegant elucidation of the contribution of reductionism to the evolution of modern art and its role in a monumental shift in artistic perspective. Reductionism steered the transition from figurative art to the first explorations of abstract art reflected in the works of Turner, Monet, Kandinsky, Schoenberg, and Mondrian. Kandel explains how, in the postwar era, Pollock, de Kooning, Rothko, Louis, Turrell, and Flavin used a reductionist approach to arrive at their abstract expressionism and how Katz, Warhol, Close, and Sandback built upon the advances of the New York School to reimagine figurative and minimal art. Featuring captivating drawings of the brain alongside full-color reproductions of modern art masterpieces, this book draws out the common concerns of science and art and how they illuminate each other.

Content

The emergence of a reductionist school of abstract art in New York -- The Beginning of a Scientific Approach to Art -- The Biology of the Beholder's Share: Visual Perception and Bottom-Up Processing in Art -- The Biology of Learning and Memory: Top-Down Processing in Art -- A Reductionist Approach to Art. Reductionism in the Emergence of Abstract Art -- Mondrian and the Radical Reduction of the Figurative Image -- The New York School of Painters -- How the Brain Processes and Perceives Abstract Images -- From Figuration to Color Abstraction -- Color and the Brain -- A Focus on Light -- A Reductionist Influence on Figuration -- The Emerging Dialogue Between Abstract Art and Science. Why Is Reductionism Successful in Art? -- A Return to the Two Cultures

Date

14. 6.2019 12:22:37

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Abstract

Informational cities are prototypical cities of the knowledge society. If they are informational world cities, they are new centers of power. According to Manuel Castells (1989), in those cities space of flows (flows of money, power, and information) tend to override space of places. Information and communication technology infrastructures, cognitive infrastructures (as groundwork of knowledge cities and creative cities), and city-level knowledge management are of great importance. Digital libraries provide access to the global explicit knowledge. The informational city consists of creative clusters and spaces for personal contacts to stimulate sharing of implicit information. In such cities, we can observe job polarization in favor of well-trained employees. The corporate structure of informational cities is made up of financial services, knowledge-intensive high-tech industrial enterprises, companies of the information economy, and further creative and knowledge-intensive service enterprises. Weak location factors are facilities for culture, recreational activities, and consumption. Political willingness to create an informational city and e-governance activities are crucial aspects for the development of such cities. This conceptual article frames indicators which are able to mark the degree of "informativeness" of a city. Finally, based upon findings of network economy, we try to explain why certain cities master the transition to informational cities and others (lagging to relative insignificance) do not. The article connects findings of information science and of urbanistics and urban planning.

Date

3. 7.2011 19:22:49

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Abstract

What links conscious experience of pain, joy, color, and smell to bioelectrical activity in the brain? How can anything physical give rise to nonphysical, subjective, conscious states? Christof Koch has devoted much of his career to bridging the seemingly unbridgeable gap between the physics of the brain and phenomenal experience. This engaging book?part scientific overview, part memoir, part futurist speculation?describes Koch's search for an empirical explanation for consciousness. Koch recounts not only the birth of the modern science of consciousness but also the subterranean motivation for his quest?his instinctual (if "romantic") belief that life is meaningful. Koch describes his own groundbreaking work with Francis Crick in the 1990s and 2000s and the gradual emergence of consciousness (once considered a "fringy" subject) as a legitimate topic for scientific investigation. Present at this paradigm shift were Koch and a handful of colleagues, including Ned Block, David Chalmers, Stanislas Dehaene, Giulio Tononi, Wolf Singer, and others. Aiding and abetting it were new techniques to listen in on the activity of individual nerve cells, clinical studies, and brain-imaging technologies that allowed safe and noninvasive study of the human brain in action. Koch gives us stories from the front lines of modern research into the neurobiology of consciousness as well as his own reflections on a variety of topics, including the distinction between attention and awareness, the unconscious, how neurons respond to Homer Simpson, the physics and biology of free will, dogs, Der Ring des Nibelungen, sentient machines, the loss of his belief in a personal God, and sadness. All of them are signposts in the pursuit of his life's work?to uncover the roots of consciousness

Content

In which I introduce the ancient mind-body problem, explain why I am on a quest to use reason and empirical inquiry to solve it, acquaint you with Francis Crick, explain how he relates to this quest, make a confession, and end on a sad note -- In which I write about the wellsprings of my inner conflict between religion and reason, why I grew up wanting to be a scientist, why I wear a lapel pin of Professor Calculus, and how I acquired a second mentor late in life -- In which I explain why consciousness challenges the scientific view of the world, how consciousness can be investigated empirically with both feet firmly planted on the ground, why animals share consciousness with humans, and why self-consciousness is not as important as many people think it is -- In which you hear tales of scientist-magicians that make you look but not see, how they track the footprints of consciousness by peering into your skull, why you don't see with your eyes, and why attention and consciousness are not the same -- In which you learn from neurologists and neurosurgeons that some neurons care a great deal about celebrities, that cutting the cerebral cortex in two does not reduce consciousness by half, that color is leached from the world by the loss of a small cortical region, and that the destruction of a sugar cube-sized chunk of brain stem or thalamic tissue leaves you undead -- In which I defend two propositions that my younger self found nonsense--you are unaware of most of the things that go on in your head, and zombie agents control much of your life, even though you confidently believe that you are in charge -- In which I throw caution to the wind, bring up free will, Der ring des Nibelungen, and what physics says about determinism, explain the impoverished ability of your mind to choose, show that your will lags behind your brain's decision, and that freedom is just another word for feeling -- In which I argue that consciousness is a fundamental property of complex things, rhapsodize about integrated information theory, how it explains many puzzling facts about consciousness and provides a blueprint for building sentient machines -- In which I outline an electromagnetic gadget to measure consciousness, describe efforts to harness the power of genetic engineering to track consciousness in mice, and find myself building cortical observatories -- In which I muse about final matters considered off-limits to polite scientific discourse: to wit, the relationship between science and religion, the existence of God, whether this God can intervene in the universe, the death of my mentor, and my recent tribulations.

Footnote

Rez. in: The New York Review of Books, 10.01.2013 ( J. Searle): "The problem of consciousness remains with us. What exactly is it and why is it still with us? The single most important question is: How exactly do neurobiological processes in the brain cause human and animal consciousness? Related problems are: How exactly is consciousness realized in the brain? That is, where is it and how does it exist in the brain? Also, how does it function causally in our behavior? To answer these questions we have to ask: What is it? Without attempting an elaborate definition, we can say the central feature of consciousness is that for any conscious state there is something that it feels like to be in that state, some qualitative character to the state. For example, the qualitative character of drinking beer is different from that of listening to music or thinking about your income tax. This qualitative character is subjective in that it only exists as experienced by a human or animal subject. It has a subjective or first-person existence (or "ontology"), unlike mountains, molecules, and tectonic plates that have an objective or third-person existence. Furthermore, qualitative subjectivity always comes to us as part of a unified conscious field. At any moment you do not just experience the sound of the music and the taste of the beer, but you have both as part of a single, unified conscious field, a subjective awareness of the total conscious experience. So the feature we are trying to explain is qualitative, unified subjectivity.
Now it might seem that is a fairly well-defined scientific task: just figure out how the brain does it. In the end I think that is the right attitude to have. But our peculiar history makes it difficult to have exactly that attitude-to take consciousness as a biological phenomenon like digestion or photosynthesis, and figure out how exactly it works as a biological phenomenon. Two philosophical obstacles cast a shadow over the whole subject. The first is the tradition of God, the soul, and immortality. Consciousness is not a part of the ordinary biological world of digestion and photosynthesis: it is part of a spiritual world. It is sometimes thought to be a property of the soul and the soul is definitely not a part of the physical world. The other tradition, almost as misleading, is a certain conception of Science with a capital "S." Science is said to be "reductionist" and "materialist," and so construed there is no room for consciousness in Science. If it really exists, consciousness must really be something else. It must be reducible to something else, such as neuron firings, computer programs running in the brain, or dispositions to behavior. There are also a number of purely technical difficulties to neurobiological research. The brain is an extremely complicated mechanism with about a hundred billion neurons in ... (Rest nicht frei). " [https://www.nybooks.com/articles/2013/01/10/can-information-theory-explain-consciousness/].

LCSH

Personal Autonomy

Subject

Personal Autonomy

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Abstract

This paper uses facet analysis to address the classification of responsive behaviours exhibited by persons in long-term care facilities suffering from advanced dementia. An analysis of the Canadian PIECES Framework shows that facet analysis is implicitly embedded in the reasoning procedure prescribed; furthermore the facet structure is used as a surrogate for the patient's cognition, providing access to the person's medical, social, emotional and personal history. In this way, facet analysis may serve as a means of enabling family members and caregivers outside the gerontology field to deal with responsive behaviours in difficult care situations. However, the paper suggests facet analysis is useful, not because it "improves" the work of gerontologists and behaviour specialists, but rather because it captures and illustrate their knowledge in a way that does justice to the complexity and frequent inconsistency of real-life caregiving situations.

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

The real story of how our brains and nervous systems change throughout our lifetimes-with or without "brain training." Fifty years ago, neuroscientists thought that a mature brain was fixed like a fly in amber, unable to change. Today, we know that our brains and nervous systems change throughout our lifetimes. This concept of neuroplasticity has captured the imagination of a public eager for self-improvement-and has inspired countless Internet entrepreneurs who peddle dubious "brain training" games and apps. In this book, Moheb Costandi offers a concise and engaging overview of neuroplasticity for the general reader, describing how our brains change continuously in response to our actions and experiences.

Content

Inhalt: Introduction -- Sensory substitution -- Developmental plasticity -- Synaptic plasticity -- Adult neurogenesis -- Brain training -- Nerve injury and brain damage -- Addiction and pain -- Life-long brain changes -- Conclusion

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Abstract

Philosophers have long debated the mind-body problem whether to attribute such mental features as consciousness to mind or to body. Meanwhile, neuroscientists search for empirical answers, seeking neural correlates for consciousness, self, and free will. In this book, Georg Northoff does not propose new solutions to the mind-body problem; instead, he questions the problem itself, arguing that it is an empirically, ontologically, and conceptually implausible way to address the existence and reality of mental features. We are better off, he contends, by addressing consciousness and other mental features in terms of the relationship between world and brain; philosophers should consider the world-brain problem rather than the mind-body problem. This calls for a Copernican shift in vantage point from within the mind or brain to beyond the brain in our consideration of mental features. Northoff, a neuroscientist, psychiatrist, and philosopher, explains that empirical evidence suggests that the brain's spontaneous activity and its spatiotemporal structure are central to aligning and integrating the brain within the world. This spatiotemporal structure allows the brain to extend beyond itself into body and world, creating the world-brain relation? that is central to mental features. Northoff makes his argument in empirical, ontological, and epistemic-methodological terms. He discusses current models of the brain and applies these models to recent data on neuronal features underlying consciousness and proposes the world-brain relation as the ontological predisposition for consciousness.

LCSH

Brain / Physiology

Subject

Brain / Physiology

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Abstract

Since ancient times intellectual work has required tools for writing, documents for reading, and bibliographies for finding, not to mention more specialized techniques and technologies. Direct personal discussion is often impractical and we depend on documents instead. Document technology evolved through writing, printing, telecommunications, copying, and computing and facilitated an 'information flood' which motivated important knowledge organization initiatives, especially in the nineteenth century (library science, bibliography, documentation). Electronics and the Internet amplified these trends. As an example we consider an initiative to provide shared access to the working notes of editors preparing scholarly editions of historically important texts. For the future, we can project trends leading to ubiquitous recording, pervasive representations, simultaneous interaction regardless of geography, and powerful analysis and visualization of the records resulting from that ubiquitous recording. This evolving situation has implications for publishing, archival practice, and knowledge organization. The passing of time is of special interest in knowledge organization because knowing is cultural, living, and always changing. Technique and technology are also cultural ("material culture") but fixed and inanimate, as can be seen in the obsolescence of subject headings, which remain inscribed while culture moves on. The tension between the benefits of technology and the limitations imposed by fixity in a changing world provide a central tension in knowledge organization over time.

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

Providing subject access to cartographic resources is in many ways as fraught as providing access to any other human artifact, since places, spaces, and features on the land are conceptualized and named by people. Using critical cartographic cataloging, an approach comparable to critical cartography, we explore the potential of using multiple place-names in information systems to allow for multidimensional retrieval. Placenames are a social construct identifying and referencing locations. Cartographers and other geographic information professionals map these locations by encoding them into cartographic artifacts. In some instances the place-name metadata are created by knowledge workers; increasingly, they also can be created by non-expert end users on the Geoweb. Because queries begin with a place-name, personal lexicons of end-users have the potential to be used increasingly, both inside and out of traditional repository settings. We explore place-name biases and make recommendations to inform system design within the field of knowledge organization that accounts for the multitude of world-views in the emergent Geoweb.

Content

This article is based in part on: Moulaison, Heather Lee and Wade Bishop. 2014. "Organizing and Representing Geographic Information." In Wies³aw Babik, ed. 2014. Knowledge Organization in the 21st Century: Between Historical Patterns and Future Prospects: Proceedings of the Thirteenth International ISKO Conference, 19-22 May 2014, Kraków, Poland. Advances in Knowledge Organization 14. Würzburg: Ergon Verlag, pp. 437-44.

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Abstract

This study investigates the argument patterns in Yahoo! Answers, a major question and answer (Q&A) site. Mainly drawing on the ideas of Toulmin (), argument pattern is conceptualized as a set of 5 major elements: claim, counterclaim, rebuttal, support, and grounds. The combinations of these elements result in diverse argument patterns. Failed opening consists of an initial claim only, whereas nonoppositional argument pattern also includes indications of support. Oppositional argument pattern contains the elements of counterclaim and rebuttal. Mixed argument pattern entails all 5 elements. The empirical data were gathered by downloading from Yahoo! Answers 100 discussion threads discussing global warming-a controversial topic providing a fertile ground for arguments for and against. Of the argument patterns, failed openings were most frequent, followed by oppositional, nonoppositional, and mixed patterns. In most cases, the participants grounded their arguments by drawing on personal beliefs and facts. The findings suggest that oppositional and mixed argument patterns provide more opportunities for the assessment of the quality and credibility of answers, as compared to failed openings and nonoppositional argument patterns.

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Abstract

An account of the emergence of the mind: how the brain acquired self-awareness, functional autonomy, the ability to think, and the power of speech. How did the human mind emerge from the collection of neurons that makes up the brain? How did the brain acquire self-awareness, functional autonomy, language, and the ability to think, to understand itself and the world? In this volume in the Essential Knowledge series, Zoltan Torey offers an accessible and concise description of the evolutionary breakthrough that created the human mind.
Drawing on insights from evolutionary biology, neuroscience, and linguistics, Torey reconstructs the sequence of events by which Homo erectus became Homo sapiens. He describes the augmented functioning that underpins the emergent mind-a new ("off-line") internal response system with which the brain accesses itself and then forms a selection mechanism for mentally generated behavior options. This functional breakthrough, Torey argues, explains how the animal brain's "awareness" became self-accessible and reflective-that is, how the human brain acquired a conscious mind. Consciousness, unlike animal awareness, is not a unitary phenomenon but a composite process. Torey's account shows how protolanguage evolved into language, how a brain subsystem for the emergent mind was built, and why these developments are opaque to introspection. We experience the brain's functional autonomy, he argues, as free will. Torey proposes that once life began, consciousness had to emerge-because consciousness is the informational source of the brain's behavioral response. Consciousness, he argues, is not a newly acquired "quality," "cosmic principle," "circuitry arrangement," or "epiphenomenon," as others have argued, but an indispensable working component of the living system's manner of functioning.

Content

Inhalt: Background to the brain: the identity of consciousnessNeoteny: the breaking of the hominid impasse -- Nuts and bolts to build a language -- Cognitive bootstrapping: the epigenesis of language -- A device to move mountains: dual output, single focus -- Language: the Trojan horse of negative entropy -- What is this thing called mind? -- The alchemy of self-deception: introspection at work -- Functional autonomy: the triumph of evolutionary bootstrapping -- About the self: fiction and fact -- Unfinished business: skeletons in the cupboard -- At the edge of comprehension.

LCSH

Cognition ; Consciousness ; Brain

Subject

Cognition ; Consciousness ; Brain

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Content

In the longer term, the new research may lead to technology that helps the blind and robots navigate natural environments. But it also raises chilling possibilities for surveillance. During the past 15 years, video cameras have been placed in a vast number of public and private spaces. In the future, the software operating the cameras will not only be able to identify particular humans via facial recognition, experts say, but also identify certain types of behavior, perhaps even automatically alerting authorities. Two years ago Google researchers created image-recognition software and presented it with 10 million images taken from YouTube videos. Without human guidance, the program trained itself to recognize cats - a testament to the number of cat videos on YouTube. Current artificial intelligence programs in new cars already can identify pedestrians and bicyclists from cameras positioned atop the windshield and can stop the car automatically if the driver does not take action to avoid a collision. But "just single object recognition is not very beneficial," said Ali Farhadi, a computer scientist at the University of Washington who has published research on software that generates sentences from digital pictures. "We've focused on objects, and we've ignored verbs," he said, adding that these programs do not grasp what is going on in an image. Both the Google and Stanford groups tackled the problem by refining software programs known as neural networks, inspired by our understanding of how the brain works. Neural networks can "train" themselves to discover similarities and patterns in data, even when their human creators do not know the patterns exist.
In living organisms, webs of neurons in the brain vastly outperform even the best computer-based networks in perception and pattern recognition. But by adopting some of the same architecture, computers are catching up, learning to identify patterns in speech and imagery with increasing accuracy. The advances are apparent to consumers who use Apple's Siri personal assistant, for example, or Google's image search. Both groups of researchers employed similar approaches, weaving together two types of neural networks, one focused on recognizing images and the other on human language. In both cases the researchers trained the software with relatively small sets of digital images that had been annotated with descriptive sentences by humans. After the software programs "learned" to see patterns in the pictures and description, the researchers turned them on previously unseen images. The programs were able to identify objects and actions with roughly double the accuracy of earlier efforts, although still nowhere near human perception capabilities. "I was amazed that even with the small amount of training data that we were able to do so well," said Oriol Vinyals, a Google computer scientist who wrote the paper with Alexander Toshev, Samy Bengio and Dumitru Erhan, members of the Google Brain project. "The field is just starting, and we will see a lot of increases."

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Abstract

Acquiring knowledge in any field involves information retrieval, i.e. searching the available documents to identify answers to the queries concerning the selected objects. Knowing the keywords which are names of the objects will enable situating the user's query in the information space organized as a thesaurus or faceted classification. Objectives: Identification the areas in the information space which correspond to gaps in the user's personal knowledge or in the domain knowledge might become useful in theory or practice. The aim of this paper is to present a realistic information-space model of a self-authored full-text document on information culture, indexed by the author of this article. Methodology: Having established the relations between the terms, particular modules (sets of terms connected by relations used in facet classification) are situated on a plain, similarly to a communication map. Conclusions drawn from the "journey" on the map, which is a visualization of the knowledge contained in the analysed document, are the crucial part of this paper. Results: The direct result of the research is the created model of information space visualization of a given document (book, article, website). The proposed procedure can practically be used as a new form of representation in order to map the contents of academic books and articles, beside the traditional index form, especially as an e-book auxiliary tool. In teaching, visualization of the information space of a document can be used to help students understand the issues of: classification, categorization and representation of new knowledge emerging in human mind.

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

Purpose - The purpose of this paper is to analyse the global scientific outputs of ontology research, an important emerging discipline that has huge potential to improve information understanding, organization, and management. Design/methodology/approach - This study collected literature published during 1900-2012 from the Web of Science database. The bibliometric analysis was performed from authorial, institutional, national, spatiotemporal, and topical aspects. Basic statistical analysis, visualization of geographic distribution, co-word analysis, and a new index were applied to the selected data. Findings - Characteristics of publication outputs suggested that ontology research has entered into the soaring stage, along with increased participation and collaboration. The authors identified the leading authors, institutions, nations, and articles in ontology research. Authors were more from North America, Europe, and East Asia. The USA took the lead, while China grew fastest. Four major categories of frequently used keywords were identified: applications in Semantic Web, applications in bioinformatics, philosophy theories, and common supporting technology. Semantic Web research played a core role, and gene ontology study was well-developed. The study focus of ontology has shifted from philosophy to information science. Originality/value - This is the first study to quantify global research patterns and trends in ontology, which might provide a potential guide for the future research. The new index provides an alternative way to evaluate the multidisciplinary influence of researchers.

Date

20. 1.2015 18:30:22
17. 9.2018 18:22:23