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  1. Soergel, D.: Knowledge organization for learning (2014) 0.09 
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    Abstract
    This paper discusses and illustrates through examples how meaningful or deep learning can be supported through well-structured presentation of material, through giving learners schemas they can use to organize knowledge in their minds, and through helping learners to understand knowledge organization principles they can use to construct their own schemas. It is a call to all authors, educators and information designers to pay attention to meaningful presentation that expresses the internal structure of the domain and facilitates the learner's assimilation of concepts and their relationships.
    Pages
    S.22-32
    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
  2. Kaminska, A.; Pulak, I.: Knowledge organization in a digital learning environment in the experiences of pedagogy students (2014) 0.09 
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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
  3. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.09 
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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.
    This proposal includes plans to improve the quality of relevant entities with a co-learning framework that learns from both entity labels and document labels. We also plan to develop a hybrid ranking system that combines word based and entity based representations together with their uncertainties considered. At last, we plan to enrich the text representations with connections between entities. We propose several ways to infer entity graph representations for texts, and to rank documents using their structure representations. This dissertation overcomes the limitation of word based representations with external and carefully curated information from knowledge bases. We believe this thesis research is a solid start towards the new generation of intelligent, semantic, and structured information retrieval.
    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.
  4. Fachsystematik Bremen nebst Schlüssel 1970 ff. (1970 ff) 0.09 
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    Content
    1. Agrarwissenschaften 1981. - 3. Allgemeine Geographie 2.1972. - 3a. Allgemeine Naturwissenschaften 1.1973. - 4. Allgemeine Sprachwissenschaft, Allgemeine Literaturwissenschaft 2.1971. - 6. Allgemeines. 5.1983. - 7. Anglistik 3.1976. - 8. Astronomie, Geodäsie 4.1977. - 12. bio Biologie, bcp Biochemie-Biophysik, bot Botanik, zoo Zoologie 1981. - 13. Bremensien 3.1983. - 13a. Buch- und Bibliothekswesen 3.1975. - 14. Chemie 4.1977. - 14a. Elektrotechnik 1974. - 15 Ethnologie 2.1976. - 16,1. Geowissenschaften. Sachteil 3.1977. - 16,2. Geowissenschaften. Regionaler Teil 3.1977. - 17. Germanistik 6.1984. - 17a,1. Geschichte. Teilsystematik hil. - 17a,2. Geschichte. Teilsystematik his Neuere Geschichte. - 17a,3. Geschichte. Teilsystematik hit Neueste Geschichte. - 18. Humanbiologie 2.1983. - 19. Ingenieurwissenschaften 1974. - 20. siehe 14a. - 21. klassische Philologie 3.1977. - 22. Klinische Medizin 1975. - 23. Kunstgeschichte 2.1971. - 24. Kybernetik. 2.1975. - 25. Mathematik 3.1974. - 26. Medizin 1976. - 26a. Militärwissenschaft 1985. - 27. Musikwissenschaft 1978. - 27a. Noten 2.1974. - 28. Ozeanographie 3.1977. -29. Pädagogik 8.1985. - 30. Philosphie 3.1974. - 31. Physik 3.1974. - 33. Politik, Politische Wissenschaft, Sozialwissenschaft. Soziologie. Länderschlüssel. Register 1981. - 34. Psychologie 2.1972. - 35. Publizistik und Kommunikationswissenschaft 1985. - 36. Rechtswissenschaften 1986. - 37. Regionale Geograpgie 3.1975. - 37a. Religionswissenschaft 1970. - 38. Romanistik 3.1976. - 39. Skandinavistik 4.1985. - 40. Slavistik 1977. - 40a. Sonstige Sprachen und Literaturen 1973. - 43. Sport 4.1983. - 44. Theaterwissenschaft 1985. - 45. Theologie 2.1976. - 45a. Ur- und Frühgeschichte, Archäologie 1970. - 47. Volkskunde 1976. - 47a. Wirtschaftswissenschaften 1971 // Schlüssel: 1. Länderschlüssel 1971. - 2. Formenschlüssel (Kurzform) 1974. - 3. Personenschlüssel Literatur 5. Fassung 1968
  5. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.08 
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  6. Chianese, A.; Cantone, F.; Caropreso, M.; Moscato, V.: ARCHAEOLOGY 2.0 : Cultural E-Learning tools and distributed repositories supported by SEMANTICA, a System for Learning Object Retrieval and Adaptive Courseware Generation for e-learning environments. (2010) 0.08 
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    Abstract
    The focus of the present research has been the development and the application to Virtual Archaeology of a Web-Based framework for Learning Objects indexing and retrieval. The paper presents the main outcomes of a experimentation carried out by an interdisciplinary group of Federico II University of Naples. Our equipe is composed by researchers both in ICT and in Humanities disciplines, in particular in the domain of Virtual Archaeology and Cultural Heritage Informatics in order to develop specific ICT methodological approaches to Virtual Archaeology. The methodological background is the progressive diffusion of Web 2.0 technologies and the attempt to analyze their impact and perspectives in the Cultural Heritage field. In particular, we approached the specific requirements of the so called Learning 2.0, and the possibility to improve the automation of modular courseware generation in Virtual Archaeology Didactics. The developed framework was called SEMANTICA, and it was applied to Virtual Archaeology Domain Ontologies in order to generate a didactic course in a semi-automated way. The main results of this test and the first students feedback on the course fruition will be presented and discussed..
    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
  7. Hatakama, H.; Terano, T.: ¬A multi-agent model of organizational intellectual activities for knowledge management (1996) 0.08 
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    Abstract
    In this paper, authors propose a computational model of cooperative intellectual activities in an organization using the concepts of distributed artificial intelligence. In this model, we assume incomplete communication of knowledge among agents, and examine methods for pragmatic cooperative decision making and learning. We have implemented two typical variations of the model, the Specialists-Model and the Generalists-Model. Using the two variations, we carry out the simulation of dynamic activities of decision making and learning. Then, based an the model and these simulations, we systematically examine methods of knowledge management for effective augmentation of organizational intelligence.
    Source
    Knowledge management: organization competence and methodolgy. Proceedings of the Fourth International ISMICK Symposium, 21-22 October 1996, Netherlands. Ed.: J.F. Schreinemakers
  8. Harrer, A.; Lohmann, S.: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse (2008) 0.08 
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    Abstract
    Als dynamische und einfache Form der Auszeichnung von Ressourcen kann sich Tagging im E-Learning positiv auf Partizipation, soziale Navigation und das Verständnis der Lernenden auswirken. Dieser Beitrag beleuchtet verschiedene Möglichkeiten des Einsatzes von Social Tagging in Lehrportalen und E-LearningKursen. Hierzu werden zunächst drei konkrete Anwendungsfälle dargestellt. Anschließend werden aus den Anwendungsfällen gewonnene Erkenntnisse für Lehr-/Lernszenarien zusammengefasst.
    Date
    21. 6.2009 12:22:44
  9. Snow, K.; Hoffman, G.L.: What makes an effective cataloging course? : a study of the factors that promote learning (2015) 0.08 
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    Abstract
    This paper presents the results of a research study, a survey of library and information science master's degree holders who have taken a beginning cataloging course, to identify the elements of a beginning cataloging course that help students to learn cataloging concepts and skills. The results suggest that cataloging practice (the hands-on creation of bibliographic records or catalog cards), the effectiveness of the instructor, a balance of theory and practice, and placing cataloging in a real-world context contribute to effective learning. However, more research is needed to determine how, and to what the extent, each element should be incorporated into beginning cataloging courses.
    Date
    10. 9.2000 17:38:22
  10. Fan, W.; Fox, E.A.; Pathak, P.; Wu, H.: ¬The effects of fitness functions an genetic programming-based ranking discovery for Web search (2004) 0.08 
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    Abstract
    Genetic-based evolutionary learning algorithms, such as genetic algorithms (GAs) and genetic programming (GP), have been applied to information retrieval (IR) since the 1980s. Recently, GP has been applied to a new IR taskdiscovery of ranking functions for Web search-and has achieved very promising results. However, in our prior research, only one fitness function has been used for GP-based learning. It is unclear how other fitness functions may affect ranking function discovery for Web search, especially since it is weIl known that choosing a proper fitness function is very important for the effectiveness and efficiency of evolutionary algorithms. In this article, we report our experience in contrasting different fitness function designs an GP-based learning using a very large Web corpus. Our results indicate that the design of fitness functions is instrumental in performance improvement. We also give recommendations an the design of fitness functions for genetic-based information retrieval experiments.
    Date
    31. 5.2004 19:22:06
  11. Tang, X.; Chen, L.; Cui, J.; Wei, B.: Knowledge representation learning with entity descriptions, hierarchical types, and textual relations (2019) 0.08 
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    Abstract
    Knowledge representation learning methods usually only utilize triple facts, or just consider one kind of extra information. In this paper, we propose a multi-source knowledge representation learning (MKRL) model, which can combine entity descriptions, hierarchical types, and textual relations with triple facts. Specifically, for entity descriptions, a convolutional neural network is used to get representations. For hierarchical type, weighted hierarchy encoders are used to construct the projection matrixes of hierarchical types, and the projection matrix of an entity combines all hierarchical type projection matrixes of the entity with the relation-specific type constrains. For textual relations, a sentence-level attention mechanism is employed to get representations. We evaluate MKRL model on knowledge graph completion task with dataset FB15k-237, and experimental results demonstrate that our model outperforms the state-of-the-art methods, which indicates the effectiveness of multi-source information for knowledge representation.
    Date
    17. 3.2019 13:22:53
  12. Shoffner, M.; Greenberg, J.; Kramer-Duffield, J.; Woodbury, D.: Web 2.0 semantic systems : collaborative learning in science (2008) 0.08 
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    Abstract
    The basic goal of education within a discipline is to transform a novice into an expert. This entails moving the novice toward the "semantic space" that the expert inhabits-the space of concepts, meanings, vocabularies, and other intellectual constructs that comprise the discipline. Metadata is significant to this goal in digitally mediated education environments. Encoding the experts' semantic space not only enables the sharing of semantics among discipline scientists, but also creates an environment that bridges the semantic gap between the common vocabulary of the novice and the granular descriptive language of the seasoned scientist (Greenberg, et al, 2005). Developments underlying the Semantic Web, where vocabularies are formalized in the Web Ontology Language (OWL), and Web 2.0 approaches of user-generated folksonomies provide an infrastructure for linking vocabulary systems and promoting group learning via metadata literacy. Group learning is a pedagogical approach to teaching that harnesses the phenomenon of "collective intelligence" to increase learning by means of collaboration. Learning a new semantic system can be daunting for a novice, and yet it is integral to advance one's knowledge in a discipline and retain interest. These ideas are key to the "BOT 2.0: Botany through Web 2.0, the Memex and Social Learning" project (Bot 2.0).72 Bot 2.0 is a collaboration involving the North Carolina Botanical Garden, the UNC SILS Metadata Research center, and the Renaissance Computing Institute (RENCI). Bot 2.0 presents a curriculum utilizing a memex as a way for students to link and share digital information, working asynchronously in an environment beyond the traditional classroom. Our conception of a memex is not a centralized black box but rather a flexible, distributed framework that uses the most salient and easiest-to-use collaborative platforms (e.g., Facebook, Flickr, wiki and blog technology) for personal information management. By meeting students "where they live" digitally, we hope to attract students to the study of botanical science. A key aspect is to teach students scientific terminology and about the value of metadata, an inherent function in several of the technologies and in the instructional approach we are utilizing. This poster will report on a study examining the value of both folksonomies and taxonomies for post-secondary college students learning plant identification. Our data is drawn from a curriculum involving a virtual independent learning portion and a "BotCamp" weekend at UNC, where students work with digital plan specimens that they have captured. Results provide some insight into the importance of collaboration and shared vocabulary for gaining confidence and for student progression from novice to expert in botany.
    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
  13. E-Learning weltweit : Lernen und Lehren (2005) 0.08 
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    Abstract
    E-Learning gilt als Wundermittel in der mobilen Informationssgesellschaft: Wissenszuwachs wann, wo und so oft man will - egal ob Uni-Vorlesung via Handy oder Urlaub mit dem virtuellen Reiseführer. Soweit die Theorie. In der Praxis mangelt es jedoch an Didaktik. Beim Lernen im Netz geht es oft ums Geld, weniger um Bildungserfolge
    Content
    "Im vergangenen Jahr veröffentlichten die Economist Intelligence Unit - der Wirtschaftsinformationsdienst von der Economist Group - und IBM eine weltweite Vergleichsstudie unter, dem Titel "The -2003 e-learning readiness rankings": In dieser bewerteten sie, in welchem Umfang die 60 grössten Volkswirtschaften E-Learning-Strategien und -Lösungen verfolgen und einsetzen. Die Studie basiert auf Daten der Economist Intelligence Unit, der UNESCO, der Weltbank sowie anderer öffentlicher und privater Organisationen. Beurteilt wurden die Länder dabei nach vier verschiedenen Kategorien. Ermittelt wurde zum einen der Grad der Konnektivität, also in welcher Weise die einzelnen Länder technologische Voraussetzungen wie Breitbandvernetzung und Nutzungsmöglichkeiten zur mobilen Kommunikation beim 'E-Learning zur Verfügung stellen. Zum anderen evaluierten die Verfasser die Leistungsfähigkeit der verschiedenen Länder und warfen dabei etwa einen Blick auf deren Ausbildungssysteme und Angebote des betrieblichen Lernens. In einer dritten Kategorie erfassten die Autoren ferner die Bereitstellung und den Zugang zu Online-Inhalten etwa in Form öffentlicher Datenbanken und Bibliotheken. Schließlich wurde die kulturelle Einstellung zum Thema E-Learning in der Studie erfasst. Die Autoren gingen dabei folgenden Fragen nach: In welcher Weise unterstützen und fördern nationale Einrichtungen E-Learning? In welchen Ländern besitzen Lernprozesse insgesamt einen hohen Stellenwert für die Allgemeinheit? Und wo finden progressive Ideen besonderen Zuspruch? Ausgewertet wurden die Ergebnisse für die vier Einzelbereiche Ausbildung, Unternehmen, staatliche Einrichtungen und Gesellschaft. Deutschland konnte sich innerhalb der Studie mit seinem 17. Rang insgesamt im oberen Mittelfeld platzieren. In den Bereichen Staat und Gesellschaft landete es an 11. Stelle, im Ausbildungsbereich auf dem 16. und in der betrieblichen Ausbildung auf dem 24. Platz. An der Spitze der Studie finden sich neben Schweden Kanada und die USA. Gerade hier sind die technologischen Voraussetzungen für den Einsatz von E-Learning gegeben. Zudem schnitten alle drei' Länder aufgrund ihres allgemein starken Ausbildungssystems, in dem, sie etwa lebenslanges Lernen unterstützen und sich durch ein hohes Ausbildungsniveau auszeichnen, beim Ranking besonders gut ab. Die Studie -legt den Schluss nahe, dass Europa und hier insbesondere die skandinavischen Länder sich im E-Learning-Bereich positiv entwickeln. Die südeuröpäischen Länder widmen sich dem Thema dagegen nur zögerlich und rangieren im europäischen Vergleich eher auf hinteren Plätzen. Aus dem asiatischen Raum haben sich vor allem Süd-Korea (Rang 5) und Singapur (Rang 6) gut aufgestellt.
    Bundesweite Förderprogramme und Landesinitiativen zur Verbreitung des computergestützten Lernens in der Aus- und Weiterbildung gaben den Ausschlag für eine Untersuchung des Einsatzes von E-Learning an deutschen Hochschulen. Durchgeführt wurde sie vom Institut für Medien- und Kompetenzforschung und dem Multimedia Kontor Hamburg. Gegründet wurde das Kontor von den staatlichen Hochschulen in Hamburg, die sich in einem gemeinsamen E-Learning-Consortium . zusammengeschlossen hallen. Das Kernergebnis der Studie, an der sich vor allem Hochschulen beteiligt haben, die diese neue Lernform tatsächlich einsetzen, lautet: E-LearnIng ist Bestandteil, aber nicht Alltag in der Hochschule. Danach setzt die Mehrheit von 86 der 95 befragten Hochschulen Computer in Lehrveranstal- tungen ein. Vor allem an großen und staatlichen Einrichtungen werden computergestützte Lernformen angeboten. Bei den Lernangeboten handelt es sich an 63 Hochschulen um Präsenzveranstaltungen mit Online-Unterstützung. Blended-Learning-Arrangements, also allgemein netzgestützte Angebote, und reine Online-Studiengänge werden nur an 40 beziehungsweise 22 Lehrstätten angeboten. Durchschnittlich setzen neun von zehn befragten Hochschulen aktuell E-Learning in ihren Lehrveranstaltungen ein. Ziel der Untersuchung war es auch, zu ermitteln, wie E-Learning-Angebote innerhalb verschiedener Studiengänge genutzt werden. Die Verfasser kommen zu dem Schluss, dass die Differenzierung der E-Learning-Angebote nach Fächergruppen deutliche Schwerpunkte erkennen lässt. So sind Disziplinen mit ausgeprägter Computeraffinität wie Informatik und Ingenieurwissenschaften neben Fächern mit hohen Studierendenzahlen wie etwa Wirtschafts- und Sozialwissenschaften klare Vorreiter in der neuen computergestützten Hochschullehre. Im Mittelfeld finden sich dagegen kreativ-gestalterische Studiengänge wie Kunst, Design und Mediengestaltung sowie Sprach- und Kulturwissenschaften, aber auch Natur- und Umweltwissenschaften. Für diese lässt sich vermuten, dass aufgrund ihres hohen Praxisanteils der Computer hier nur bedingt zum Einsatz kommen kann. Dass Rechtswissenschaften und Technikstudiengänge auf den hinteren Plätzen rangieren, kann kaum überraschen. Denn hier wird der Computer nur selten als LehrLern-Medium eingesetzt. Anders sieht es aus in den medizinisch-pharmazeutischen Disziplinen. Denn in der Medizinerausbildung und -praxis kommen Computer häufig zum Einsatz. Die niedrigen Einsatzzahlen müssen daher erstaunen. Neben der Ermittlung des Umfangs und der Verteilung auf unterschiedliche Studiengänge analysierten die Autoren die Akzeptanzwerte von E-Learning-Angeboten. Befragt wurden, Hochschulvertreter. Die waren selbst weniger im Hochschulbetrieb eingebunden, sondern bekleideten Leitungspositionen. Rund die Hälfte von ihnen denkt, dass Lehrende gegenüber dem Einsatz von E-Learning-Angeboten positiv eingestellt sind. Jeder Neunte glaubt hingegen an eine Befürwortung klassischer Präsenzveranstaltungen. Eine höhere Akzeptanz vermuten die Befragten dabei bei den Lehrenden von Fachhochschulen. Auch den Studierenden insgesamt werden höhere Akzeptanzwerte bescheinigt. Die Befragten schätzen dabei aber, dass nur bis zu fünf Prozent aller Studierenden gegenwärtig mit E-Learning arbeiten. Die Befragten geben ferner Auskunft darüber, wie sie die Lernergebnisse unter Einsatz neuer Techniken einschätzen. Nur ein Viertel schätzt dabei die Qualität von Prüfungsergebnissen beim E-Learning im Vergleich zu Präsenzveranstaltungen als besser ein. Jeder Zweite kann keinen Qualitätsunterschied ausmachen. Allerdings geht die Hälfte der befragten Hochschulmitarbeiter davon aus, dass die Nutzer den neuen Technologie bis 2007 bessere Eregbnisse in Tests erzielen werden. Entsprechend prognostizieren die Befragten einen Anstieg der studentischen E-Learning-Nutzer innerhalb der nächsten Jahre: Drei von vier Hochschulvertretern kommen zu dem Schluss, dass künftig mehr Studierende mit Hilfe des Computers lernen werden."
    Series
    Thema E-Learning
  14. Heidorn, P.B.; Wei, Q.: Automatic metadata extraction from museum specimen labels (2008) 0.07 
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    Abstract
    This paper describes the information properties of museum specimen labels and machine learning tools to automatically extract Darwin Core (DwC) and other metadata from these labels processed through Optical Character Recognition (OCR). The DwC is a metadata profile describing the core set of access points for search and retrieval of natural history collections and observation databases. Using the HERBIS Learning System (HLS) we extract 74 independent elements from these labels. The automated text extraction tools are provided as a web service so that users can reference digital images of specimens and receive back an extended Darwin Core XML representation of the content of the label. This automated extraction task is made more difficult by the high variability of museum label formats, OCR errors and the open class nature of some elements. In this paper we introduce our overall system architecture, and variability robust solutions including, the application of Hidden Markov and Naïve Bayes machine learning models, data cleaning, use of field element identifiers, and specialist learning models. The techniques developed here could be adapted to any metadata extraction situation with noisy text and weakly ordered elements.
    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
  15. Isah, E.E.; Byström, K.: Physicians' learning at work through everyday access to information (2016) 0.07 
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    Abstract
    This article explores access to information through an analysis of sources and strategies as part of workplace learning in a medical context in an African developing country. It focuses on information practices in everyday patient care by a team of senior and junior physicians in a university teaching hospital. A practice-oriented, interpretative case study approach, in which elements from activity theory, situated learning theory, and communities of practice framework, was developed to form the theoretical basis for the study. The qualitative data from observations and interviews were analyzed with iterative coding techniques. The findings reveal that physicians' learning through everyday access to medical information is enacted by, embedded in, and sustained as a part of the work activity itself. The findings indicate a stable community of practice with traits of both local and general medical conventions, in which the value of used sources and strategies remains relatively uncontested, strongly based on formally and informally sanctioned and legitimized practices. Although the present study is particular and context specific, the results indicate a more generally plausible conclusion; the complementary nature of different information sources and strategies underscores that access to information happens in a context in which solitary sources alone make little difference.
    Date
    22. 1.2016 12:31:37
  16. Basili, R.; Pazienza, M.T.; Velardi, P.: ¬An empirical symbolic approach to natural language processing (1996) 0.07 
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    Abstract
    Describes and evaluates the results of a large scale lexical learning system, ARISTO-LEX, that uses a combination of probabilisitc and knowledge based methods for the acquisition of selectional restrictions of words in sublanguages. Presents experimental data obtained from different corpora in different doamins and languages, and shows that the acquired lexical data not only have practical applications in natural language processing, but they are useful for a comparative analysis of sublanguages
    Date
    6. 3.1997 16:22:15
  17. Bates, M.J.: Learning about the information seeking of interdisciplinary scholars and students (1996) 0.07 
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    Date
    14. 4.1997 20:22:55
  18. Ambite, J.L.; Knoblock, C.A.: Agents for information gathering (1997) 0.07 
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    Abstract
    Introduces the SIMS system, an information mediator that provides access to heterogeneous data and knowledge bases by acting as a single information agent that can be instantiated to provide multiple agents. Considers critical aspects of any agent-based system: agent organization, knowledge of an agent, communication language and protocol, query processing and learning capabilities. Outlines features of the SIMS approach
    Date
    21.11.1998 19:22:19
  19. LaForty, J.-A.: ¬A new literacy for a new age (1998) 0.07 
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    Abstract
    Describes a new course, Information and electronic literacy, which is being offered in schools across Ontario, Canada. Discusses the rationale for the course which is built upon the concept of collaboration, skill development and resource-based learning; describes curriculum content and outlines the benefits of this approach to the whole school
    Date
    14. 3.1999 14:22:11
  20. Morris, V.: Automated language identification of bibliographic resources (2020) 0.07 
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    Abstract
    This article describes experiments in the use of machine learning techniques at the British Library to assign language codes to catalog records, in order to provide information about the language of content of the resources described. In the first phase of the project, language codes were assigned to 1.15 million records with 99.7% confidence. The automated language identification tools developed will be used to contribute to future enhancement of over 4 million legacy records.
    Date
    2. 3.2020 19:04:22

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  • a 4069
  • m 507
  • el 245
  • s 225
  • x 46
  • b 42
  • i 25
  • r 21
  • ? 8
  • d 5
  • p 5
  • n 3
  • u 2
  • z 2
  • au 1
  • h 1
  • More… Less…

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