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| 2. |
- Berger, Gertrud, et al.
(författare)
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Information visualization for product development in the LIVA project
- 2008
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Ingår i: InfoTrend. - : Svensk förening för informationsspecialister. - 1653-0225. ; 63:1, s. 3-13
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Tidskriftsartikel (populärvet., debatt m.m.)abstract
- The LIVA research and development project (2005-2007) was conceived to integrate automatic indexing, automatic categorization, information visualization and information retrieval in library systems managing textual document collections. After a brief overview of some major information visualization methods, the user interface prototype is introduced.
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| 3. |
- Darányi, Sándor
(författare)
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A computationally and neurologically feasible model of semiosis
- 2004
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Ingår i: From Nature to Psyche. Proceedings from the Imatra International Congresses on Semiotics in 2001 and 2002. - : Helsinki: Acta Semiotica Fennica. - 9525431088 ; , s. 256-264
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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| 4. |
- Darányi, Sándor, et al.
(författare)
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A Physical Metaphor to Study Semantic Drift
- 2016
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Ingår i: Proceedings of SuCCESS-16, 1st International Workshop on Semantic Change & Evolving Semantics. - 9781450321389
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Konferensbidrag (refereegranskat)abstract
- In accessibility tests for digital preservation, over time we experience drifts of localized and labelled content in statistical models of evolving semantics represented as a vector field. This articulates the need to detect, measure, interpret and model outcomes of knowledge dynamics. To this end we employ a high-performance machine learning algorithm for the training of extremely large emergent self-organizing maps for exploratory data analysis. The working hypothesis we present here is that the dynamics of semantic drifts can be modeled on a relaxed version of Newtonian mechanics called social mechanics. By using term distances as a measure of semantic relatedness vs. their PageRank values indicating social importance and applied as variable ‘term mass’, gravitation as a metaphor to express changes in the semantic content of a vector field lends a new perspective for experimentation. From ‘term gravitation’ over time, one can compute its generating potential whose fluctuations manifest modifications in pairwise term similarity vs. social importance, thereby updating Osgood’s semantic differential. The dataset examined is the public catalog metadata of Tate Galleries, London.
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| 5. |
- Darányi, Sándor, 1951-, et al.
(författare)
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A Potential Surface Underlying Meaning?
- 2015
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Machine learning algorithms utilizing gradient descent to identify concepts or more general learnables hint at a so-far ignored possibility, namely that local and global minima represent any vocabulary as a landscape against which evaluation of the results can take place. A simple example to illustrate this idea would be a potential surface underlying gravitation. However, to construct a gravitation-based representation of, e.g., word meaning, only the distance between localized items is a given in the vector space, whereas the equivalents of mass or charge are unknown in semantics. Clearly, the working hypothesis that physical fields could be a useful metaphor to study word and sentence meaning is an option but our current representations are incomplete in this respect.For a starter, consider that an RBF kernel has the capacity to generate a potential surface and hence create the impression of gravity, providing one with distance-based decay of interaction strength, plus a scalar scaling factor for the interaction, but of course no term masses. We are working on an experiment design to change that. Therefore, with certain mechanisms in neural networks that could host such quasi-physical fields, a novel approach to the modeling of mind content seems plausible, subject to scrutiny.Work in progress in another direction of the same idea indicates that by using certain algorithms, already emerged vs. still emerging content is clearly distinguishable, in line with Aristotle’s Metaphysics. The implications are that a model completed by “term mass” or “term charge” would enable the computation of the specific work equivalent of sentences or documents, and that via replacing semantics by other modalities, vector fields of more general symbolic content could exist as well. Also, the perceived hypersurface generated by the dynamics of language use may be a step toward more advanced models, for example addressing the Hamiltonian of expanding semantic systems, or the relationship between reaction paths in quantum chemistry vs. sentence construction by gradient descent.
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| 6. |
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| 7. |
- Darányi, Sándor, 1951-, et al.
(författare)
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Communicating Semantic Content to Persons with Deafblindness by Haptograms and Smart Textiles : Theoretical Approach and Methodology
- 2020
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Ingår i: International Journal on Advances in Intelligent Systems. - 1942-2679. ; 13:1&2, s. 103-113
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Tidskriftsartikel (refereegranskat)abstract
- By means of a proof-of-concept prototype, which is work in progress, we adopted a multidisciplinary approach to develop a smart-textile-based communication system for use by people with deafblindness. In this system, sensor technologies and computer vision are used to detect environmental cues such as presence of obstacles, faces, objects, etc. Focusing on the communication module here, a new ontology connects visual analytics with the user to label detected semantic content about objects, persons and situations for navigation and situational awareness. Such labelled content is then translated to a haptogram vocabulary with static vs. dynamic patterns, which are mapped to the body. A haptogram denotes a tactile symbol composed over a touchscreen, its dynamic nature referring to the act of writing or drawing. A vest made of smart textile, in the current variant equipped with a 4 x 4 grid of vibrotactile actuators, is used to transmit haptograms on the user’s back. Thereby system messages of different complexity -- both alerts and short sentences -- can be received by the user, who then has the option to respond by pre-coded questions and messages. By means of grids with more actuators, displays with higher resolution can be implemented and tested, paving the way for an extended haptogram vocabulary, covering more detailed ontology content.
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| 8. |
- Darányi, Sándor, et al.
(författare)
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Conceptual machinery of the mythopoetic mind : Attis, a case study
- 2015
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Ingår i: Proceedings of QI-15, 9th International Quantum Interaction Symposium.
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Konferensbidrag (refereegranskat)abstract
- In search for the right interpretation regarding a body of related content, we screened a small corpus of myths about Attis, a minor deity from the Hellenistic period in Asia Minor to identify the noncommutativity of key concepts used in storytelling. Looking at the protagonist's typical features, our experiment showed incompatibility with regard to his gender and downfall. A crosscheck for entanglement found no violation of a Bell inequality, its best approximation being on the border of the local polytope.
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| 9. |
- Darányi, Sándor, et al.
(författare)
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Connecting the Dots : Mass, Energy, Word Meaning, and Particle-Wave Duality
- 2012
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Konferensbidrag (refereegranskat)abstract
- With insight from linguistics that degrees of text cohesion are similar to forces in physics, and the frequent use of the energy concept in text categorization by machine learning, we consider the applicability of particle-wave duality to semantic content inherent in index terms. Wave-like interpretations go back to the regional nature of such content, utilizing functions for its representation, whereas content as a particle can be conveniently modelled by position vectors. Interestingly, wave packets behave like particles, lending credibility to the duality hypothesis. We show in a classical mechanics framework how metaphorical term mass can be computed.
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