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  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.10
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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. Schneider, J.W.: Emerging frameworks and methods : The Fourth International Conference on Conceptions of Library and Information Science (CoLIS4), The Information School, University of Washington, Seattle, Washington, USA, July 21-25, 2002 (2002) 0.09
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    Footnote
    Bericht über die Tagung und Kurzreferate zu den 18 Beiträgen (u.a. BELKIN, N.J.: A classification of interactions with information; INGWERSEN, P.: Cognitive perspectives of document representation; HJOERLAND, B.: Principia informatica: foundational theory of the concepts of information and principles of information services; TUOMINEN, K. u.a.: Discourse, cognition and reality: towards a social constructionist meta-theory for library and information science
    Source
    Knowledge organization. 29(2002) nos.3/4, S.231-234
  3. Chen, L.; Zeng, J.; Tokuda, N.: ¬A "stereo" document representation for textual information retrieval (2006) 0.09
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    Abstract
    A new document representation model is presented in this paper. This model is based on the idea of representing a document by two or more pictures of the document taken from different perspectives. It is shown that by applying the stereo representation model, enhanced textual retrieval performance is achieved because the new model improves the capability of capturing individual features of the document. Experiments have been conducted on two standard corpora, TIME and ADI, using the standard term vector method and the latent semantic indexing (LSI) method based upon both the stereo representation model and the traditional representation model. Statistical t-tests on the experimental results have convincingly illustrated that these methods achieve significant improvements in retrieval performances with the stereo representation model over those with the traditional representation model.
    Date
    22. 7.2006 17:33:43
  4. Gao, Q.: Visual knowledge representation for three-dimensional computing vision (2000) 0.08
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    Source
    Encyclopedia of library and information science. Vol.66, [=Suppl.29]
  5. Priss, U.: Faceted information representation (2000) 0.08
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    Abstract
    This paper presents an abstract formalization of the notion of "facets". Facets are relational structures of units, relations and other facets selected for a certain purpose. Facets can be used to structure large knowledge representation systems into a hierarchical arrangement of consistent and independent subsystems (facets) that facilitate flexibility and combinations of different viewpoints or aspects. This paper describes the basic notions, facet characteristics and construction mechanisms. It then explicates the theory in an example of a faceted information retrieval system (FaIR)
    Date
    22. 1.2016 17:47:06
  6. Griffiths, T.L.; Steyvers, M.: ¬A probabilistic approach to semantic representation (2002) 0.08
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    Abstract
    Semantic networks produced from human data have statistical properties that cannot be easily captured by spatial representations. We explore a probabilistic approach to semantic representation that explicitly models the probability with which words occurin diffrent contexts, and hence captures the probabilistic relationships between words. We show that this representation has statistical properties consistent with the large-scale structure of semantic networks constructed by humans, and trace the origins of these properties.
    Date
    29. 6.2015 14:55:01
    29. 6.2015 16:09:05
  7. Andersen, J.: Written knowledge : a literary perspective on indexing theory (2000) 0.08
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    Abstract
    The general concern of Bazerman's book Shaping Written Knowledge. The Genre and Activity of the Experimental Article in Science is written knowledge as it is produced by the academy. Bazerman discusses in particular the rhetoric, communicative, and epistemological issues of written knowledge. The article discusses these themes in a library and information science (LIS) perspective in terms of their implications for LIS research. For several reasons, it is argued that this way of scrutinizing into written knowledge ought to be of special interest to LIS research. As an example of a particular field of research in LIS, the article discusses the relationship between indexing theory and written knowledge. Bazerman analyzes written knowledge from a literary point of view. Among other things, it is argued that indexing theory can be seen as part of literary theory in that some of the questions raised by the latter are also raised in indexing theory. Furthermore, it is put forward that the indexer can be considered an author. The indexer produces a text, the document representation, which is the text the user actually meets in the first place. That way, the producer of a document representation is to some extent responsible for the quality of the documents indexed. Having discussed this relationship between written knowledge and LIS research in general and indexing theory in particular, it is concluded that LIS research ought to head toward more humanistic oriented research traditions, if the line of research presented by Bazerman should be considered useful for LIS
    Date
    2. 8.2001 19:16:29
  8. San Segundo, R.: ¬A new conception of representation of knowledge (2004) 0.08
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    Abstract
    The new term Representation of knowledge, applied to the framework of electronic segments of information, with comprehension of new material support for information, and a review and total conceptualisation of the terminology which is being applied, entails a review of all traditional documentary practices. Therefore, a definition of the concept of Representation of knowledge is indispensable. The term representation has been used in westere cultural and intellectual tradition to refer to the diverse ways that a subject comprehends an object. Representation is a process which requires the structure of natural language and human memory whereby it is interwoven in a subject and in conscience. However, at the present time, the term Representation of knowledge is applied to the processing of electronic information, combined with the aim of emulating the human mind in such a way that one has endeavoured to transfer, with great difficulty, the complex structurality of the conceptual representation of human knowledge to new digital information technologies. Thus, nowadays, representation of knowledge has taken an diverse meanings and it has focussed, for the moment, an certain structures and conceptual hierarchies which carry and transfer information, and has initially been based an the current representation of knowledge using artificial intelligence. The traditional languages of documentation, also referred to as languages of representation, offer a structured representation of conceptual fields, symbols and terms of natural and notational language, and they are the pillars for the necessary correspondence between the object or text and its representation. These correspondences, connections and symbolisations will be established within the electronic framework by means of different models and of the "goal" domain, which will give rise to organisations, structures, maps, networks and levels, as new electronic documents are not compact units but segments of information. Thus, the new representation of knowledge refers to data, images, figures and symbolised, treated, processed and structured ideas which replace or refer to documents within the framework of technical processing and the recuperation of electronic information.
    Date
    2. 1.2005 18:22:25
  9. Williamson, N.: Challenges in knowledge representation and organization for the 21st century : Integration of knowledge across boundaries. 7th ISKO International Conference Granada, Spain, July 10-13, 2002 (2002) 0.07
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    Source
    Knowledge organization. 29(2002) no.2, S.94-102
  10. Levinson, R.: Symmetry and the computation of conceptual structures (2000) 0.07
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    Abstract
    The discovery and exploitation of symmetry plays a major role in sciences such as crystallography, quantum theory, condensedmatter physics, thermodynamics, chemistry, biology and others. It then should not be surprising then, since Conceptual Structures are proposed as a universal knowledge representation scheme, that symmetry should play a role in their interpretation and their application. In this tutorial style paper, we illustrate the role of symmetry in Conceptual Structures and how algorithms may be constructed that exploit this symmetry in order to achieve computational efficiency
    Date
    3. 9.2000 19:22:45
  11. Priss, U.: ¬A semiotic-conceptual framework for knowledge representation (2004) 0.06
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    Abstract
    This paper argues that a semiotic-conceptual framework is suitable for knowledge representation because it combines conceptual structures with semiotic aspects. The advantages of such a framework are discussed and explained using an example from an ontology language.
    Date
    29. 8.2004 10:12:21
  12. Weiermann, S.L.: Semantische Netze und Begriffsdeskription in der Wissensrepräsentation (2000) 0.06
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    LCSH
    Information representation (Information theory)
    Subject
    Information representation (Information theory)
  13. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.06
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    Abstract
    The employees of an organization often use a personal hierarchical classification scheme to organize digital documents that are stored on their own workstations. As this may make it hard for other employees to retrieve these documents, there is a risk that the organization will lose track of needed documentation. Furthermore, the inherent boundaries of such a hierarchical structure require making arbitrary decisions about which specific criteria the classification will b.e based on (for instance, the administrative activity or the document type, although a document can have several attributes and require classification in several classes).A faceted classification model to support corporate information organization is proposed. Partially based on Ranganathan's facets theory, this model aims not only to standardize the organization of digital documents, but also to simplify the management of a document throughout its life cycle for both individuals and organizations, while ensuring compliance to regulatory and policy requirements.
    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.
  14. Eito Brun, R.: Software development and reuse as a knowledge management practice (2003) 0.06
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    Abstract
    Software development is usually referred to as a knowledge intensive practice. In fact, companies involved in software development are Said to be the most clear example of the companies whose revenue and value is based in the creation, representation and modeling of knowledge. The software development process starts with the capture of some requirements provided by the final users or by the project stakeholders. Taking these requirements as a basis, the development teams must cross the chasm from the text-based requirements to their representation in a specific programming language. To move from the textual representation of the software requirements to the final code, different steps and artifacts must be created. These artifacts also represent the knowledge embeded in the functional specifications, and are an intermediate step to reach the final representation: the programming code. The author analyses the impact of knowledge management in software development processes, and describes the possibility of using a shared pool of code to make possible the sharing of the knowledge gained. A prototype tool to create and maintain the repository of code and link this code to functional specifications and any other artifacts (documents, models, reports, etc.) is described. This tool will link together the knowledge created at the different levels (business analysis, analysis, design, coding, etc.) in the development process to make the reuse of code easier.
    Date
    11. 9.2004 15:29:49
    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
  15. Zachary, J.; Iyengar, S.S.; Barhen, J.: Content based image retrieval and information theory : a general approach (2001) 0.06
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    Abstract
    A fundamental aspect of content-based image retrieval (CBIR) is the extraction and the representation of a visual feature that is an effective discriminant between pairs of images. Among the many visual features that have been studied, the distribution of color pixels in an image is the most common visual feature studied. The standard representation of color for content-based indexing in image databases is the color histogram description and representation.Vector-based distance functions are used to compute the similarity between two images as the distance between points in the color histogram space. This paper proposes an alternative real valued representation of color based on the information theoretic concept of entropy. A theoretical presentation of image entropy is accompanied by a practical description of the merits and limitations of image entropy compared to color histograms. Specifically, the L, norm for color histograms is shown to provide an upper bound on the difference between image entropy values. Our initial results suggest that image entropy is a promising approach to image
  16. Yukimo Kobashio, N.; Santos, R.N.M.: Information organization and representation by graphic devices : an interdisciplinary approach (2007) 0.06
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    Date
    29.12.2007 18:17:29
  17. Davenport, E.; Cronin, B.: Knowledge management : Semantic drift or conceptual shift? (2000) 0.06
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    Date
    31. 7.2001 20:22:57
    Footnote
    Thematisierung der Verschiebung des Verständnisses von Wissensmanagement; vgl. auch: Day, R.E.: Totality and representation: a history of knowledge management ... in: JASIS 52(2001) no.9, S.725-735
  18. Saarti, J.: ¬The analysis of the information process of fiction : a holistic approach to information processing (2003) 0.06
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    Abstract
    The objective of the paper is to analyse the information (communication) process of fiction in order to increase our understanding of the different actors and factors involved in information processing. The methodology is that of the grounded theory, where previous studies of information process and fiction content representation are compared with the results of an empirical study in which library patrons and library professionals were asked to index and abstract five different kinds of novels.
    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
  19. Assem, M. van; Gangemi, A.; Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation (2006) 0.06
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    Abstract
    This paper presents an overview of the work in progress at the W3C to produce a standard conversion of WordNet to the RDF/OWL representation language in use in the SemanticWeb community. Such a standard representation is useful to provide application developers a high-quality resource and to promote interoperability. Important requirements in this conversion process are that it should be complete and should stay close to WordNet's conceptual model. The paper explains the steps taken to produce the conversion and details design decisions such as the composition of the class hierarchy and properties, the addition of suitable OWL semantics and the chosen format of the URIs. Additional topics include a strategy to incorporate OWL and RDFS semantics in one schema such that both RDF(S) infrastructure and OWL infrastructure can interpret the information correctly, problems encountered in understanding the Prolog source files and the description of the two versions that are provided (Basic and Full) to accommodate different usages of WordNet.
    Date
    29. 7.2011 14:44:56
  20. Qin, J.: Evolving paradigms of knowledge representation and organization : a comparative study of classification, XML/DTD and ontology (2003) 0.06
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    Abstract
    The different points of views an knowledge representation and organization from various research communities reflect underlying philosophies and paradigms in these communities. This paper reviews differences and relations in knowledge representation and organization and generalizes four paradigms-integrative and disintegrative pragmatism and integrative and disintegrative epistemologism. Examples such as classification, XML schemas, and ontologies are compared based an how they specify concepts, build data models, and encode knowledge organization structures. 1. Introduction Knowledge representation (KR) is a term that several research communities use to refer to somewhat different aspects of the same research area. The artificial intelligence (AI) community considers KR as simply "something to do with writing down, in some language or communications medium, descriptions or pictures that correspond in some salient way to the world or a state of the world" (Duce & Ringland, 1988, p. 3). It emphasizes the ways in which knowledge can be encoded in a computer program (Bench-Capon, 1990). For the library and information science (LIS) community, KR is literally the synonym of knowledge organization, i.e., KR is referred to as the process of organizing knowledge into classifications, thesauri, or subject heading lists. KR has another meaning in LIS: it "encompasses every type and method of indexing, abstracting, cataloguing, classification, records management, bibliography and the creation of textual or bibliographic databases for information retrieval" (Anderson, 1996, p. 336). Adding the social dimension to knowledge organization, Hjoerland (1997) states that knowledge is a part of human activities and tied to the division of labor in society, which should be the primary organization of knowledge. Knowledge organization in LIS is secondary or derived, because knowledge is organized in learned institutions and publications. These different points of views an KR suggest that an essential difference in the understanding of KR between both AI and LIS lies in the source of representationwhether KR targets human activities or derivatives (knowledge produced) from human activities. This difference also decides their difference in purpose-in AI KR is mainly computer-application oriented or pragmatic and the result of representation is used to support decisions an human activities, while in LIS KR is conceptually oriented or abstract and the result of representation is used for access to derivatives from human activities.
    Date
    12. 9.2004 17:22:35
    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas

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