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  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.56
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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. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.47
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  3. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.41
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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.
  4. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.35
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    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.
  5. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.30
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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.
  6. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.29
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
  7. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.06
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    Abstract
    What is the difference between Piaget's constructivism and Papert's "constructionism"? Beyond the mere play on the words, I think the distinction holds, and that integrating both views can enrich our understanding of how people learn and grow. Piaget's constructivism offers a window into what children are interested in, and able to achieve, at different stages of their development. The theory describes how children's ways of doing and thinking evolve over time, and under which circumstance children are more likely to let go of-or hold onto- their currently held views. Piaget suggests that children have very good reasons not to abandon their worldviews just because someone else, be it an expert, tells them they're wrong. Papert's constructionism, in contrast, focuses more on the art of learning, or 'learning to learn', and on the significance of making things in learning. Papert is interested in how learners engage in a conversation with [their own or other people's] artifacts, and how these conversations boost self-directed learning, and ultimately facilitate the construction of new knowledge. He stresses the importance of tools, media, and context in human development. Integrating both perspectives illuminates the processes by which individuals come to make sense of their experience, gradually optimizing their interactions with the world.
    Content
    Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
  8. Robertson, R.J.; Barker, P.; Barker, M.: Metadata in an ecosystem of presentation dissemination (2008) 0.06
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    Abstract
    Developing and managing local practices about metadata implementation (desired quality, workflow, support tools, guidelines, and vocabularies) and about metadata exposure (supported standards, and pre-exposure transformations) requires an ability to understand and communicate the specific complex settings in which the metadata, resources, and users exist. Developing such an understanding is often informed by an implicit or explicit conceptual model. Ecology is the study of complex natural systems, with the aim of understanding and modeling the processes and interactions between the participants in the system and their environment. The concept is also widely used as a metaphor to describe complex systems within their settings. The Repositories Research Team (which supports repository development work in UK HE) has been examining the use of ecology as a metaphor to support the understanding and representation of interactions between repositories, dependent services, and their users. These interactions whether technical, political, or cultural have a direct impact on the metadata in each repository. Where many other approaches to modeling facilitate an abstract view of a single type of interaction; the ecologically influenced approach seeks to support communication of the combined influences of a repository's technical and cultural setting, however specific and chaotic (or messy) it may be. The idea that ecology is a suitable metaphor for the interaction of users and technologies has been considered by Davenport (1997), by Nardi and O'Day (2000), in strand of projects funded by the European Union (see Nachira et al., 2007), and by Robertson et al. (2008). This poster presents an ecologically influenced view of a researcher seeking to disseminate and store their presentations. The interactions and resources that will be considered, as they influence the metadata, include the storage of the presentation in formal and informal services (a repository, SlideShare), different versions of the intellectual content (blog post, slides, paper), different formats (PowerPoint, PDF). Environmental factors, which affect the metadata, that will be considered include influences on the researcher (e.g. availability of web 2.0 tools, the link between career progression and publication of research, a commitment to sharing resources, and institutional policies) and influences on the institutional policies (such as IPR concerns about the use of third party material or the loss of university ownership of intellectual outputs or branding).
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  9. Lee, C.P.; Trace, C.B.: ¬The role of information in a community of hobbyist collectors (2009) 0.06
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    Abstract
    This article marries the study of serious leisure pursuits with library and information science's (LIS) interest in people's everyday use, need, seeking, and sharing of information. Using a qualitative approach, the role of information as a phenomenon was examined in relation to the leisure activity of hobbyist collecting. In the process, a model and a typology for these collectors were developed. We find that the information needs and information seeking of hobbyist collectors is best represented as an interrelationship between information and object needs, information sources, and interactions between collectors and their publics. Our model of the role of information in a particular domain of hobbyist collecting moves away from the idea of one individual seeking information from formal systems and shifts towards a model that takes seriously the social milieu of a community. This collecting community represents a layer of a social system with complex interactions and specialized information needs that vary across collector types. Only the serious collectors habitually engage in information seeking and, occasionally, in information dissemination, in the traditional sense, yet information flows through the community and serves as a critical resource for sustaining individual and communal collecting activities.
    Date
    22. 3.2009 18:01:49
  10. Schmitz-Esser, W.: How to cope with dynamism in ontologies (2000) 0.05
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    Abstract
    An ontology for application in non-domain specific, plurilingual, multimedia environments is outlined. A Basic Semantic Reference Structure (BSRS) allows a combination of semantic and instance-related descriptions of knowledge under the conditions of both paradigm and real-world change. Guidelines for the application of the model are given. Ontologies are conceived as reflections of what humans think is the World and how the World proceeds. Various kinds of ontologies exist. So, when we are going to speak of dynamism in ontologies, we have to make it clear what sort of ontologies we have in mind
    Date
    3. 1.2002 13:22:08
  11. Bilal, D.: Children's use of the Yahooligans! Web search engine : III. Cognitive and physical behaviors on fully self-generated search tasks (2002) 0.05
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    Abstract
    Bilal, in this third part of her Yahooligans! study looks at children's performance with self-generated search tasks, as compared to previously assigned search tasks looking for differences in success, cognitive behavior, physical behavior, and task preference. Lotus ScreenCam was used to record interactions and post search interviews to record impressions. The subjects, the same 22 seventh grade children in the previous studies, generated topics of interest that were mediated with the researcher into more specific topics where necessary. Fifteen usable sessions form the basis of the study. Eleven children were successful in finding information, a rate of 73% compared to 69% in assigned research questions, and 50% in assigned fact-finding questions. Eighty-seven percent began using one or two keyword searches. Spelling was a problem. Successful children made fewer keyword searches and the number of search moves averaged 5.5 as compared to 2.4 on the research oriented task and 3.49 on the factual. Backtracking and looping were common. The self-generated task was preferred by 47% of the subjects.
  12. Chang, H.-J.: Online supportive interactions : using a network approach to examine communication patterns within a psychosis social support group in Taiwan (2009) 0.05
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    Abstract
    A network approach was used to determine the overall supportive communication patterns constructed within the PTT psychosis support group in Taiwan, the largest bulletin board system in the Chinese-speaking world. The full sequences of supportive interactions were observed over a 2,5-year period from February 2004 to July 2006. The results indicated that the most exchanged support types were information and network links. All types of supportive communication networks were relatively sparse, yet small groups of cliques with different provision of support types formed within the psychosis group. Most of the online supportive interactions exchanged at dyadic and triadic levels. The overall supportive network was highly centralized. The overall findings with implications for future studies were discussed.
  13. Robins, D.: Shifts of focus on various aspects of user information problems during interactive information retrieval (2000) 0.05
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    Abstract
    The author presents the results of additional analyses of shifts of focus in IR interaction. Results indicate that users and search intermediaries work toward search goals in nonlinear fashion. Twenty interactions between 20 different users and one of four different search intermediaries were examined. Analysis of discourse between the two parties during interactive information retrieval (IR) shows changes in topic occurs, on average, every seven utterances. These twenty interactions included some 9,858 utterances and 1,439 foci. Utterances are defined as any uninterrupted sound, statement, gesture, etc., made by a participant in the discourse dyad. These utterances are segmented by the researcher according to their intentional focus, i.e., the topic on which the conversation between the user and search intermediary focus until the focus changes (i.e., shifts of focus). In all but two of the 20 interactions, the search intermediary initiated a majority of shifts of focus. Six focus categories were observed. These were foci dealing with: documents; evaluation of search results; search strategies; IR system; topic of the search; and information about the user
  14. Heylighen, F.: Complexity and self-organization (2009) 0.05
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    Abstract
    This entry introduces some of the main concepts and methods of the science studying complex, self-organizing systems, and networks, in a nontechnical manner. Complexity cannot be strictly defined, only situated in between order and disorder. A complex system is typically modeled as a collection of interacting agents, representing components as diverse as people, cells, or molecules. Because of the nonlinearity of the interactions, the overall system evolution is to an important degree unpredictable and uncontrollable. However, the system tends to self-organize, in the sense that local interactions eventually produce global coordination and synergy. The resulting structure can in many cases be modeled as a network, with stabilized interactions functioning as links connecting the agents. Such complex, self-organized networks typically exhibit the properties of clustering, being scale-free, and forming a small world. These ideas have obvious applications in information science when studying networks of authors and their publications.
  15. Su, L.T.: ¬A comprehensive and systematic model of user evaluation of Web search engines : Il. An evaluation by undergraduates (2003) 0.05
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    Abstract
    This paper presents an application of the model described in Part I to the evaluation of Web search engines by undergraduates. The study observed how 36 undergraduate used four major search engines to find information for their own individual problems and how they evaluated these engines based an actual interaction with the search engines. User evaluation was based an 16 performance measures representing five evaluation criteria: relevance, efficiency, utility, user satisfaction, and connectivity. Non-performance (user-related) measures were also applied. Each participant searched his/ her own topic an all four engines and provided satisfaction ratings for system features and interaction and reasons for satisfaction. Each also made relevance judgements of retrieved items in relation to his/her own information need and participated in post-search Interviews to provide reactions to the search results and overall performance. The study found significant differences in precision PR1 relative recall, user satisfaction with output display, time saving, value of search results, and overall performance among the four engines and also significant engine by discipline interactions an all these measures. In addition, the study found significant differences in user satisfaction with response time among four engines, and significant engine by discipline interaction in user satisfaction with search interface. None of the four search engines dominated in every aspect of the multidimensional evaluation. Content analysis of verbal data identified a number of user criteria and users evaluative comments based an these criteria. Results from both quantitative analysis and content analysis provide insight for system design and development, and useful feedback an strengths and weaknesses of search engines for system improvement
    Date
    24. 1.2004 18:27:22
  16. Wildemuth, B.M.: Effective methods for studying information seeking and use : Introduction and overview (2002) 0.05
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    Abstract
    In conjunction with the American Society for Information Science and Technology's (ASIST) annual meeting in fall 2001, the Special Interest Group an Information Needs, Seeking, and Use (SIG USE) sponsored a research symposium an "Effective Methods for Studying Information Seeking and Use." The symposium was intended to address the SIG's goal of promoting studies of human information behavior by focusing an the research methods that can most effectively be used to study information needs, information seeking, information use, and other human information behaviors. The symposium included the presentation of six refereed articles, which were revised based an the discussion at the symposium and are included here. The six articles describe the application of a variety of research methods, singly or in combination. Some of the methods are most appropriate for studying individuals and their interactions with information, while others can be applied to studying group behaviors. The studies were conducted in a variety of settings, from a Web-searching laboratory to an archive, from hospitals to the great outdoors (i.e., forest and river sites). Each method or set of methods was applied to a particular user group, including young children, teenagers, and adults. Each article makes a unique contribution to our repertoire of research methods, as briefly reviewed here.
    Date
    20. 1.2003 9:37:22
  17. Ju, B.: Does domain knowledge matter : mapping users' expertise to their information interactions (2007) 0.04
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    Abstract
    The purpose of this study is to investigate the role that domain knowledge plays in users' interactions with information systems. Two groups of users with two different areas of expertise were recruited for 34 experimental sessions to answer two research questions: (a) Does one group's domain knowledge (Geography majors) affect their performance on an information system more than another group's domain knowledge (Computer Science majors)? (b) Are there any differences and/or similarities in the performance of the two groups in terms of the information problem-solving processes? Task completion time, task completeness, and mouse movements were collected while users performed six tasks during the experimental sessions. Data were analyzed through repeated measures. An ANOVA was used for task completion time and task completeness. GOMS (Goals, Operators, Methods, and Selection rules) was also used for mouse movements to identify some of the similarities and differences between the two groups' information problem-solving processes. The GOMS analysis found the two groups' processing activities to be remarkably similar. The ANOVA results indicate that expertise type was not a major factor influencing user performance, but task and task combined with the type of expertise played a significant role in the users' interactions with the interface. External operators, goal decompositions, and methods related to the problem solving process through GOMS are also presented.
  18. Hassan, E.: Simultaneous mapping of interactions between scientific and technological knowledge bases : the case of space communications (2003) 0.04
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    Abstract
    This article examines the knowledge structure of the field of space communications using bibliometric mapping techniques based an textual analysis. A new approach with the aim of visualizing simultaneously the configuration of its scientific and technological knowledge bases is presented. This approach enabled us to overcome various limits of existing bibliometric methods dealing with science and technology relationships. The bibliometric map revealed weck cognitive interactions between science and technology at the worldwide level, although it brought out the systemic nature of the process of knowledge production at either side. We extended the mapping approach to the R&D activities of the Triad countries in order to characterize their specialization profiles and cognitive links an both sides in comparison with the structure of the field at the worldwide level. Results showed different patterns in the way the Triad countries organized their scientific and technological activities within the field.
  19. Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005) 0.04
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    Abstract
    Information retrieval (IR) research has developed considerably since the 1950's to include consideration of more cognitive, interactive and iterative processes during the interaction between humans and IR or Web systems (Ingwersen, 1992, 1996). Interactive search sessions by humans with IR systems have been depicted as interactive IR models (Saracevic, 1997). Human-IR system interaction is also modeled as taking place within the context of broader human information behavior (HIB) processes (Spink et al., 2002). Research into the human or cognitive (user modeling) aspects of IR is a growing body of research on user interactivity, task performance and measures for observing user interactivity. The task context and situational characteristics of users' searches and evaluation have also been identified as key elements in a user's interaction with an IR system (Cool and Spink, 2002; Vakkari, 2003). Major theorized interactive IR models have been proposed relating to the single search episode, including Ingwersen's (1992,1996) Cognitive Model of IR Interaction, Belkin et al.'s (1995) Episodic Interaction Model, and Saracevic's (1996,1997) Stratified Model of IR Interaction. In this chapter we examine Saracevic's Stratified Model of IR Interaction and extend the model within the framework of cognitive IR (CIR) to depict CIR as a multitasking process. This chapter provides a new direction for CIR research by conceptualizing IR with a multitasking context. The next section of the chapter defines the concept of multitasking in the cognitive sciences and Section 3 discusses the emerging understanding of multitasking information behavior. In Section 4, cognitive IR is depicted within a multitasking framework using Saracevic's (1996, 1997) Stratified Model of IR Interaction. In Section 5, we link information searching and seeking models together, via Saracevic's Stratified Model of IR Interaction, but starting with a unitask model of HIB. We begin to model multitasking in cognitive IR in Section 6. In Sections 7 and 8, we increase the complexity of our developing multitasking model of cognitive IR by adding coordinating mechanisms, including feedback loops. Finally, in Section 9, we conclude the chapter and indicate future directions for further research.
    Date
    19. 1.2007 12:55:22
  20. Koshman, S.; Spink, A.; Jansen, B.J.: Web searching on the Vivisimo search engine (2006) 0.04
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    Abstract
    The application of clustering to Web search engine technology is a novel approach that offers structure to the information deluge often faced by Web searchers. Clustering methods have been well studied in research labs; however, real user searching with clustering systems in operational Web environments is not well understood. This article reports on results from a transaction log analysis of Vivisimo.com, which is a Web meta-search engine that dynamically clusters users' search results. A transaction log analysis was conducted on 2-week's worth of data collected from March 28 to April 4 and April 25 to May 2, 2004, representing 100% of site traffic during these periods and 2,029,734 queries overall. The results show that the highest percentage of queries contained two terms. The highest percentage of search sessions contained one query and was less than 1 minute in duration. Almost half of user interactions with clusters consisted of displaying a cluster's result set, and a small percentage of interactions showed cluster tree expansion. Findings show that 11.1% of search sessions were multitasking searches, and there are a broad variety of search topics in multitasking search sessions. Other searching interactions and statistics on repeat users of the search engine are reported. These results provide insights into search characteristics with a cluster-based Web search engine and extend research into Web searching trends.

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