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  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.11
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    Abstract
    Document representations for text classification are typically based on the classical Bag-Of-Words paradigm. This approach comes with deficiencies that motivate the integration of features on a higher semantic level than single words. In this paper we propose an enhancement of the classical document representation through concepts extracted from background knowledge. Boosting is used for actual classification. Experimental evaluations on two well known text corpora support our approach through consistent improvement of the results.
    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  2. Budd, J.M.: Phenomenology and information studies (2005) 0.11
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    Abstract
    Purpose - To examine work on phenomenology and determine what information studies can learn and use from that work. Design/methodology/approach - The paper presents a literature-based conceptual analysis of pioneering work in phenomenology (including that of Edmund Husserl, Martin Heidegger, Paul Ricoeur, and others), application of such ideas as intentionality and being in information studies work, and the potential for greater application of the information seeker as other. Findings - The literature on phenomenology contains thought that is directly relevant to information studies and information work. Close examination of perception, intentionality, and interpretation is integral to individuals' activities related to searching for and retrieving information, determining relevance, and using technology. Essential to the realization of phenomenology's potential is adoption of communication by dialogue so that an information seeker is able both to conceptualize need and to articulate that need. Some promising work in information studies demonstrates an openness to the ongoing and continuous perceptual experiences of information seekers and the relation of that process of perceiving to the growth of knowledge. Originality/value - Offers a different way of thinking about human-information relationships and the ways that information professionals can interact with information seekers.
  3. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.10
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  4. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.08
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    Abstract
    In this thesis we propose three new word association measures for multi-word term extraction. We combine these association measures with LocalMaxs algorithm in our extraction model and compare the results of different multi-word term extraction methods. Our approach is language and domain independent and requires no training data. It can be applied to such tasks as text summarization, information retrieval, and document classification. We further explore the potential of using multi-word terms as an effective representation for general web-page summarization. We extract multi-word terms from human written summaries in a large collection of web-pages, and generate the summaries by aligning document words with these multi-word terms. Our system applies machine translation technology to learn the aligning process from a training set and focuses on selecting high quality multi-word terms from human written summaries to generate suitable results for web-page summarization.
    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  5. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.08
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  6. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.08
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    Date
    29. 8.2009 21:15:48
    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  7. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.08
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  8. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.08
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    Abstract
    The successes of information retrieval (IR) in recent decades were built upon bag-of-words representations. Effective as it is, bag-of-words is only a shallow text understanding; there is a limited amount of information for document ranking in the word space. This dissertation goes beyond words and builds knowledge based text representations, which embed the external and carefully curated information from knowledge bases, and provide richer and structured evidence for more advanced information retrieval systems. This thesis research first builds query representations with entities associated with the query. Entities' descriptions are used by query expansion techniques that enrich the query with explanation terms. Then we present a general framework that represents a query with entities that appear in the query, are retrieved by the query, or frequently show up in the top retrieved documents. A latent space model is developed to jointly learn the connections from query to entities and the ranking of documents, modeling the external evidence from knowledge bases and internal ranking features cooperatively. To further improve the quality of relevant entities, a defining factor of our query representations, we introduce learning to rank to entity search and retrieve better entities from knowledge bases. In the document representation part, this thesis research also moves one step forward with a bag-of-entities model, in which documents are represented by their automatic entity annotations, and the ranking is performed in the entity space.
    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  9. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.07
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  10. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.06
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    Abstract
    By the explosion of possibilities for a ubiquitous content production, the information overload problem reaches the level of complexity which cannot be managed by traditional modelling approaches anymore. Due to their pure syntactical nature traditional information retrieval approaches did not succeed in treating content itself (i.e. its meaning, and not its representation). This leads to a very low usefulness of the results of a retrieval process for a user's task at hand. In the last ten years ontologies have been emerged from an interesting conceptualisation paradigm to a very promising (semantic) modelling technology, especially in the context of the Semantic Web. From the information retrieval point of view, ontologies enable a machine-understandable form of content description, such that the retrieval process can be driven by the meaning of the content. However, the very ambiguous nature of the retrieval process in which a user, due to the unfamiliarity with the underlying repository and/or query syntax, just approximates his information need in a query, implies a necessity to include the user in the retrieval process more actively in order to close the gap between the meaning of the content and the meaning of a user's query (i.e. his information need). This thesis lays foundation for such an ontology-based interactive retrieval process, in which the retrieval system interacts with a user in order to conceptually interpret the meaning of his query, whereas the underlying domain ontology drives the conceptualisation process. In that way the retrieval process evolves from a query evaluation process into a highly interactive cooperation between a user and the retrieval system, in which the system tries to anticipate the user's information need and to deliver the relevant content proactively. Moreover, the notion of content relevance for a user's query evolves from a content dependent artefact to the multidimensional context-dependent structure, strongly influenced by the user's preferences. This cooperation process is realized as the so-called Librarian Agent Query Refinement Process. In order to clarify the impact of an ontology on the retrieval process (regarding its complexity and quality), a set of methods and tools for different levels of content and query formalisation is developed, ranging from pure ontology-based inferencing to keyword-based querying in which semantics automatically emerges from the results. Our evaluation studies have shown that the possibilities to conceptualize a user's information need in the right manner and to interpret the retrieval results accordingly are key issues for realizing much more meaningful information retrieval systems.
    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  11. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.06
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  12. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.06
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  13. Searle, J.R.: Seeing things as they are : a theory of perception (2015) 0.05
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    Abstract
    This book provides a comprehensive account of the intentionality of perceptual experience. With special emphasis on vision Searle explains how the raw phenomenology of perception sets the content and the conditions of satisfaction of experience. The central question concerns the relation between the subjective conscious perceptual field and the objective perceptual field. Everything in the objective field is either perceived or can be perceived. Nothing in the subjective field is perceived nor can be perceived precisely because the events in the subjective field consist of the perceivings, whether veridical or not, of the events in the objective field.
    Searle begins by criticizing the classical theories of perception and identifies a single fallacy, what he calls the Bad Argument, as the source of nearly all of the confusions in the history of the philosophy of perception. He next justifies the claim that perceptual experiences have presentational intentionality and shows how this justifies the direct realism of his account. In the central theoretical chapters, he shows how it is possible that the raw phenomenology must necessarily determine certain form of intentionality. Searle introduces, in detail, the distinction between different levels of perception from the basic level to the higher levels and shows the internal relation between the features of the experience and the states of affairs presented by the experience. The account applies not just to language possessing human beings but to infants and conscious animals. He also discusses how the account relates to certain traditional puzzles about spectrum inversion, color and size constancy and the brain-in-the-vat thought experiments. In the final chapters he explains and refutes Disjunctivist theories of perception, explains the role of unconscious perception, and concludes by discussing traditional problems of perception such as skepticism.
    Content
    The Bad Argument Summary of the Theory of Intentionality Consciousness The Intentionality of Perceptual Experiences Further Developments of the Argument Against the Bad Argument How Perceptual Intentionality Works I: Basic Features, Causation, and Intentional Content How Perceptual Intentionality Works II: Extending the Analysis to Non-basic Features Disjunctivism Unconscious Perception Classical Theories of Perception
  14. Goschke, T.: Implicit learning and unconscious knowledge : mental representation, computational mechanisms, and brain structures (1997) 0.05
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    Date
    29. 3.1996 18:16:49
  15. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.05
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    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  16. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.05
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    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  17. Corbett, E.V.: ¬The classification of fiction (1938) 0.04
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    Source
    Library Association Record. 40(1938), S
    Year
    1938
  18. Wells, H.G.: World brain (1938) 0.03
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    Year
    1938
  19. Mental models and human-computer interaction (1990) 0.03
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    Abstract
    The important role of psychological research in the field of human-computer interaction is becoming more and more recognized. The principles of how to design a user-oriented system cannot be worked out without the knowledge of how users work with systems. The book containes 18 edited papers presented at the 6th Interdisciplinary Workshop on Informatics and Psychology in Schärding, Austria, May 1987 arranged in five sections. They cover different approaches such as: Human knowledge representation, action regulation and plan recognition, simulation of interaction, formal methods of describing mental models, system design and mental models, learning and mental models
  20. Chen, S.-J.; Lee, H.-L.: Art images and mental associations : a preliminary exploration (2014) 0.03
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    Abstract
    This paper reports on the preliminary findings of a study that explores mental associations made by novices viewing art images. In a controlled environment, 20 Taiwanese college students responded to the question "What does the painting remind you of?" after viewing each digitized image of 15 oil paintings by a famous Taiwanese artist. Rather than focusing on the representation or interpretation of art, the study attempted to solicit information about how non-experts are stimulated by art. This paper reports on the analysis of participant responses to three of the images, and describes a12-type taxonomy of association emerged from the analysis. While 9 of the types are derived and adapted from facets in the Art & Architecture Thesaurus, three new types - Artistic Influence Association, Reactive Association, and Prototype Association - are discovered. The conclusion briefly discusses both the significance of the findings and the implications for future research.
    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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