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  • × theme_ss:"Wissensrepräsentation"
  1. 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) 0.11 
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  2. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.09 
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    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.
  3. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.07 
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    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  4. Kless, D.; Milton, S.: Comparison of thesauri and ontologies from a semiotic perspective (2010) 0.02 
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    Footnote
    Preprint. To be published as Vol 122 in the Conferences in Research and Practice in Information Technology Series by the Australian Computer Society Inc. http://crpit.com/.
  5. Advances in ontologies : Proceedings of the Sixth Australasian Ontology Workshop Adelaide, Australia, 7 December 2010 (2010) 0.02 
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    Footnote
    Preprint. To be published as Vol 122 in the Conferences in Research and Practice in Information Technology Series by the Australian Computer Society Inc. http://crpit.com/.
  6. Nguyen, P.H.P.; Kaneiwa, K.; Nguyen, M.-Q.: Ontology inferencing rules and operations in conceptual structure theory (2010) 0.02 
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    Footnote
    Preprint. To be published as Vol 122 in the Conferences in Research and Practice in Information Technology Series by the Australian Computer Society Inc. http://crpit.com/.
  7. Forscher erschließen Inhalte von Wiki-Webseiten (2006) 0.02 
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    Content
    Das Konzept zur besseren Erschließung der Inhalte geht allerdings nur auf, wenn die WikiAutoren aktiv mitarbeiten. Die Karlsruher Forscher setzen auf eine Kombination aus sozialer und technischer Lösung: Sie hoffen, dass sich auf der Basis ihrer Software »Semantic MediaWiki« eine Art kollektive Indexierung der Wiki-Artikel durch die Autoren entwickelt. »Semantic MediaWiki« wird bereits auf mehreren Websites mit begrenztem Datenvolumen erfolgreich eingesetzt, unter anderen zur Erschließung der Bibel-Inhalte. Nun testen die Karlsruher Forscher, ob ihr Programm auch dem gewaltigen Volumen von Wikipedia gewachsen ist. Die Wikimedia Foundation Inc., Betreiber von Wikipedia, stellt ihnen für den Test rund 50 Gigabyte Inhalt der englischen Wikipedia-Ausgabe zur Verfügung und hat Interesse an einer Zusammenarbeit signalisiert. »Semantic MediaWiki« ist ein einfach zu bedienendes Werkzeug, das auf leistungsstarken semantischen Wissensmanagement-Technologien aufbaut. Die Autoren können mit dem Werkzeug die Querverweise, die sie in ihrem Text als Weiterleitung zu Hintergrundinformationen angeben, typisieren, also kurz erläutern, sowie Zahlenangaben und Fakten im Text als Attribute kennzeichnen. Bei dem Eintrag zu »Ägypten« steht dann zum Beispiel der typisierte Link »ist Land in Afrika«, ein Attribut könnte »Bevölkerung 76000000« sein. Dabei soll jeweils die Landessprache des Eintrags verwendet werden können. Die von den Autoren erzeugten, typisierten Links werden in einer Datenbank als Bezugsgruppen abgelegt; die gekennzeichneten Attribute als feststehende Werte gespeichert. Das versetzt Computer in die Lage, automatisch sinnvolle Antworten auf komplexere Anfragen zu geben; etwa eine Liste zu erzeugen, in der alle Länder Afrikas aufgeführt sind. Die Ländernamen führen als Link zurück zu dem Eintrag, in dem sie stehen."
  8. Fischer, W.; Bauer, B.: Combining ontologies and natural language (2010) 0.02 
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    Footnote
    Preprint. To be published as Vol 122 in the Conferences in Research and Practice in Information Technology Series by the Australian Computer Society Inc. http://crpit.com/.
  9. Deokattey, S.; Neelameghan, A.; Kumar, V.: ¬A method for developing a domain ontology : a case study for a multidisciplinary subject (2010) 0.02 
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    Abstract
    A method to develop a prototype domain ontology has been described. The domain selected for the study is Accelerator Driven Systems. This is a multidisciplinary and interdisciplinary subject comprising Nuclear Physics, Nuclear and Reactor Engineering, Reactor Fuels and Radioactive Waste Management. Since Accelerator Driven Systems is a vast topic, select areas in it were singled out for the study. Both qualitative and quantitative methods such as Content analysis, Facet analysis and Clustering were used, to develop the web-based model.
    Date
    22. 7.2010 19:41:16
  10. Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009) 0.01 
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    Abstract
    Libraries are the tools we use to learn and to answer our questions. The quality of our work depends, among others, on the quality of the tools we use. Recent research in digital libraries is focused, on one hand on improving the infrastructure of the digital library management systems (DLMS), and on the other on improving the metadata models used to annotate collections of objects maintained by DLMS. The latter includes, among others, the semantic web and social networking technologies. Recently, the semantic web and social networking technologies are being introduced to the digital libraries domain. The expected outcome is that the overall quality of information discovery in digital libraries can be improved by employing social and semantic technologies. In this chapter we present the results of an evaluation of social and semantic end-user information discovery services for the digital libraries.
    Date
    1. 8.2010 12:35:22
  11. Semantic Media Wiki : Autoren sollen Wiki-Inhalte erschließen (2006) 0.01 
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    Content
    "Mit einer semantischen Erweiterung der Software MediaWiki ist es dem Forschungsteam Wissensmanagement des Instituts für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB) der Universität Karlsruhe (TH) gelungen, das Interesse der internationalen Fachwelt auf sich zu ziehen. Die jungen Forscher Denny Vrandecic und Markus Krötzsch aus dem Team von Professor Dr. Rudi Studer machen die Inhalte von Websites, die mit MediaWiki geschrieben sind, für Maschinen besser auswertbar. Ihr Konzept zur besseren Erschließung der Inhalte geht allerdings nur auf, wenn die Wiki-Autoren aktiv mitarbeiten. Die Karlsruher Forscher setzen auf eine Kombination aus sozialer und technischer Lösung: Sie hoffen, dass sich auf der Basis ihrer Wiki-PlugIn-Software "Semantic MediaWiki" eine Art kollektive Indexierung der Wiki-Artikel durch die Autoren entwickelt - und ernten für diese Idee viel Beifall. Semantic MediaWiki wird bereits auf mehreren Websites mit begrenztem Datenvolumen erfolgreich eingesetzt, unter anderen zur Erschließung der Bibel-Inhalte (URLs siehe Kasten). Nun testen die Karlsruher Forscher, ob ihr Programm auch den gigantischen Volumenanforderungen der freien Web-Enzyklopädie Wikipedia gewachsen ist. Die Wikimedia Foundation Inc., Betreiber von Wikipedia, stellt ihnen für den Test rund 50 Gigabyte Inhalt der englischen Wikipedia-Ausgabe zur Verfügung und hat Interesse an einer Zusammenarbeit signalisiert. Semantic MediaWiki steht als Open Source Software (PHP) auf der Website Sourceforge zur Verfügung. Semantic MediaWiki ist ein relativ einfach zu bedienendes Werkzeug, welches auf leistungsstarken semantischen Wissensmanagement-Technologien aufbaut. Die Autoren können mit dem Werkzeug die Querverweise (Links), die sie in ihrem Text als Weiterleitung zu Hintergrundinformationen angeben, bei der Eingabe als Link eines bestimmten Typs kennzeichnen (typed links) und Zahlenangaben und Fakten im Text als Attribute (attributes) markieren. Bei dem Eintrag zu "Ägypten" steht dann zum Bespiel der typisierte Link "[[ist Land von::Afrika]]" / "[[is country of::africa]]", ein Attribut könnte "[[Bevölkerung:=76,000,000]]" / "[[population:=76,000,000]]" sein. Die von den Autoren erzeugten, typisierten Links werden in einer Datenbank als Dreier-Bezugsgruppen (Triple) abgelegt; die gekennzeichneten Attribute als feststehende Werte gespeichert. Die Autoren können die Relationen zur Definition der Beziehungen zwischen den verlinkten Begriffen frei wählen, z.B. "ist ...von' / "is...of", "hat..." /"has ...". Eingeführte Relationen stehen als "bisher genutzte Relationen" den anderen Schreibern für deren Textindexierung zur Verfügung.
  12. Fischer, D.H.: ¬Ein Lehrbeispiel für eine Ontologie : OpenCyc (2004) 0.01 
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    Content
    Das Projekt Cyc ist im Jahre 1984 angetreten mit der Zielsetzung, im großen Maßstab Alltags- und enzyklopädisches Wissen in einem einheitlichen System zu formalisieren im Gegensatz zu den bisherigen Versuchen der jeweiligen Repräsentation sektoralen Expertenwissens. Nachdem man sich dem Mythos Cyc zunächst nur über Publikationen nähern konntet, wurde dann 1997 als Textdatei Cycs "Upper Ontology" durch die Firma Cycorp Inc. zugänglich gemacht. Sie enthielt aber einiges nicht, was beschrieben worden war: z.B. Regeln und die Bindung von Aussagen an "Mikrotheorien". Entsprechend dieser Beschränkung war es mir möglich, den Inhalt dieser Datei strukturell verlustfrei in mein objektorientiertes, generisches Thesaurussystem "TerminologyFramework" einzubringen. Im April 200z wurden dann unter dem Namen OpenCyc nicht nur der Inhalt eines Auszugs aus Cycorps Ontologie, sondern auch zugehörige Werkzeuge zum lesenden Stöbern, Ändern und Schließen in einem ersten Release 0.6 zugänglich. Dazu findet man reichlich tutorielles Material, jedoch ist es nicht exakt abgestimmt auf die aktuell vorliegende Wissensbasis, sowie allerhand Dokumentation; vor allem aber findet man zum Herunterladen das Softwarepaket samt Wissensbasis für Windows NT/2000/XP- oder für Linux-Systeme. In welchem Verhältnis das nun kostenlos mit einer "GNU Lesser General Public License" verfügbare OpenCyc zu dem kommerziellen "Full Cyc" der Firma Cycorp steht, darüber weiß ich nichts aus erster Hand; die von mir für OpenCyc ermittelten Zahlen (s.u.) stehen zu neueren Angaben für Cyc in einem Größenordnungsverhältnis von ca. 1 zu 10. Informationen über realisierte Anwendungen kann man der Firmenselbstdarstellung$ und den von dort erreichbaren "white papers" entnehmen. Auf der Firmeneingangsseite findet man in Gestalt einer Pyramide eine Inhaltsübersicht der Ontologie von Cyc (siehe Abbildung 1): Beim Darüberfahren mit der Maus wird das dort wie auch hier kaum leserliche Kleingedruckte im Feld links oben lesbar und durch Klicken wird eine Inhaltsbeschreibung des jeweiligen Begriffsbereichs im Feld unten gegeben. OpenCyc stellt wohl einen exemplarischen Auszug aus dem oberen Teil der Pyramide oberhalb "Domain-Specific Knowledge" dar.
  13. Kiren, T.; Shoaib, M.: ¬A novel ontology matching approach using key concepts (2016) 0.01 
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 68(2016) no.1, S.99-111
  14. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.01 
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 66(2014) no.5, S.494-518
  15. Hocker, J.; Schindler, C.; Rittberger, M.: Participatory design for ontologies : a case study of an open science ontology for qualitative coding schemas (2020) 0.01 
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    Source
    Aslib journal of information management. 72(2020) no.4, S.671-685
  16. Davies, J.; Fensel, D.; Harmelen, F. van: Conclusions: ontology-driven knowledge management : towards the Semantic Web? (2004) 0.01 
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    Abstract
    The global economy is rapidly becoming more and more knowledge intensive. Knowledge is now widely recognized as the fourth production factor, on an equal footing with the traditional production factors of labour, capital and materials. Managing knowledge is as important as the traditional management of labour, capital and materials. In this book, we have shown how Semantic Web technology can make an important contribution to knowledge management.
    Source
    Towards the semantic Web: ontology-driven knowledge management. Eds.: J. Davies, u.a
  17. Thenmalar, S.; Geetha, T.V.: Enhanced ontology-based indexing and searching (2014) 0.01 
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 66(2014) no.6, S.678-696
  18. Fensel, D.; Staab, S.; Studer, R.; Harmelen, F. van; Davies, J.: ¬A future perspective : exploiting peer-to-peer and the Semantic Web for knowledge management (2004) 0.01 
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    Abstract
    Over the past few years, we have seen a growing interest in the potential of both peer-to-peer (P2P) computing and the use of more formal approaches to knowledge management, involving the development of ontologies. This penultimate chapter discusses possibilities that both approaches may offer for more effective and efficient knowledge management. In particular, we investigate how the two paradigms may be combined. In this chapter, we describe our vision in terms of a set of future steps that need to be taken to bring the results described in earlier chapters to their full potential.
    Source
    Towards the semantic Web: ontology-driven knowledge management. Eds.: J. Davies, u.a
  19. Semantic applications (2018) 0.01 
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    Content
    Introduction.- Ontology Development.- Compliance using Metadata.- Variety Management for Big Data.- Text Mining in Economics.- Generation of Natural Language Texts.- Sentiment Analysis.- Building Concise Text Corpora from Web Contents.- Ontology-Based Modelling of Web Content.- Personalized Clinical Decision Support for Cancer Care.- Applications of Temporal Conceptual Semantic Systems.- Context-Aware Documentation in the Smart Factory.- Knowledge-Based Production Planning for Industry 4.0.- Information Exchange in Jurisdiction.- Supporting Automated License Clearing.- Managing cultural assets: Implementing typical cultural heritage archive's usage scenarios via Semantic Web technologies.- Semantic Applications for Process Management.- Domain-Specific Semantic Search Applications.
    LCSH
    Management information systems
    Management of Computing and Information Systems
    Subject
    Management information systems
    Management of Computing and Information Systems
  20. Kiryakov, A.; Simov, K.; Ognyanov, D.: Ontology middleware and reasoning (2004) 0.01 
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    Abstract
    The ontology middleware discussed in this chapter can be seen as 'administrative' software infrastructure that makes the rest of the modules in a knowledge management toolset easier to integrate into real-world applications. The central issue is to make the methodology and modules available to society as a self-sufficient platform with mature support for development, management, maintenance, and use of middle-size and large knowledge bases. This chapter starts with an explanation of the required features of ontology middleware in the context of our knowledge management architecture and the terminology used In Section 11.2 the problem of versioning and tracking change is discussed. Section 11.3 presents the versioning model and its implementation that is developed in the project, and Section 11.4 describes the functionality of the instance reasoning module.
    Source
    Towards the semantic Web: ontology-driven knowledge management. Eds.: J. Davies, u.a

Authors

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