Search (41 results, page 1 of 3)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Semantische Interoperabilität"
  1. Concepts in Context : Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010 (2011) 0.02 
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    Date
    22. 2.2013 11:34:18
    Footnote
    Rez. in: ZfBB 59(2012) H.2, S.119-120 (F. Förster); KO 39(2012) no.6, S.461-463 (I. Dahlberg)
  2. Kristoffersen, K.A.: Mapping mot Dewey (2016) 0.02 
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    Abstract
    Mapping er en aktivitet hvor det etableres relasjoner mellom begreper i to ulike kontrollerte vokabularer. Man mapper fra et kildevokabular og finner korresponderende begreper i et målvokabular. Mapping brukes også til å benevne resultatet av en mappingaktivitet, dvs. relasjonen mellom et begrep i ett vokabular og en eller flere begreper i et annet vokabular.
  3. Euzenat, J.; Shvaiko, P.: Ontology matching (2010) 0.02 
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    Abstract
    Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more. Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence. With Ontology Matching, researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.
    Date
    20. 6.2012 19:08:22
  4. Shah, C.: Collaborative information seeking : the art and science of making the whole greater than the sum of all (2012) 0.02 
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    Content
    Inhalt: Part I Introduction.- Introduction.- Collaboration.- Collaborative Information Seeking (CIS) in Context.- Part II Conceptual Understanding of CIS.- Frameworks for CIS Research and Development.- Toward a Model for CIS.- Part III CIS Systems, Applications, and Implications.- Systems and Tools for CIS.- Evaluation.- Conclusion.- Ten Stories of Five Cs.- Brief Overview of Computer-Supported Cooperative Work (CSCW).- Brief Overview of Computer-Supported Collaborative Learning (CSCL).- Brief Overview of Computer-Mediated Communication (CMC).
  5. Gracy, K.F.; Zeng, M.L.; Skirvin, L.: Exploring methods to improve access to Music resources by aligning library Data with Linked Data : a report of methodologies and preliminary findings (2013) 0.02 
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    Abstract
    As a part of a research project aiming to connect library data to the unfamiliar data sets available in the Linked Data (LD) community's CKAN Data Hub (thedatahub.org), this project collected, analyzed, and mapped properties used in describing and accessing music recordings, scores, and music-related information used by selected music LD data sets, library catalogs, and various digital collections created by libraries and other cultural institutions. This article reviews current efforts to connect music data through the Semantic Web, with an emphasis on the Music Ontology (MO) and ontology alignment approaches; it also presents a framework for understanding the life cycle of a musical work, focusing on the central activities of composition, performance, and use. The project studied metadata structures and properties of 11 music-related LD data sets and mapped them to the descriptions commonly used in the library cataloging records for sound recordings and musical scores (including MARC records and their extended schema.org markup), and records from 20 collections of digitized music recordings and scores (featuring a variety of metadata structures). The analysis resulted in a set of crosswalks and a unified crosswalk that aligns these properties. The paper reports on detailed methodologies used and discusses research findings and issues. Topics of particular concern include (a) the challenges of mapping between the overgeneralized descriptions found in library data and the specialized, music-oriented properties present in the LD data sets; (b) the hidden information and access points in library data; and (c) the potential benefits of enriching library data through the mapping of properties found in library catalogs to similar properties used by LD data sets.
    Date
    28.10.2013 17:22:17
  6. Hafner, R.; Schelling, B.: Automatisierung der Sacherschließung mit Semantic Web Technologie (2015) 0.01 
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    Date
    22. 6.2015 16:08:38
  7. Prongué, N.; Schneider, R.: Modelling library linked data in practice (2015) 0.01 
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    Source
    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
  8. Celli, F. et al.: Enabling multilingual search through controlled vocabularies : the AGRIS approach (2016) 0.01 
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    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  9. Kutz, O.; Mossakowski, T.; Galinski, C.; Lange, C.: Towards a standard for heterogeneous ontology integration and interoperability (2011) 0.01 
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  10. Lösse, M.; Svensson, L.: "Classification at a Crossroad" : Internationales UDC-Seminar 2009 in Den Haag, Niederlande (2010) 0.01 
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    Abstract
    Am 29. und 30. Oktober 2009 fand in der Königlichen Bibliothek in Den Haag das zweite internationale UDC-Seminar zum Thema "Classification at a Crossroad" statt. Organisiert wurde diese Konferenz - wie auch die erste Konferenz dieser Art im Jahr 2007 - vom UDC-Konsortium (UDCC). Im Mittelpunkt der diesjährigen Veranstaltung stand die Erschließung des World Wide Web unter besserer Nutzung von Klassifikationen (im Besonderen natürlich der UDC), einschließlich benutzerfreundlicher Repräsentationen von Informationen und Wissen. Standards, neue Technologien und Dienste, semantische Suche und der multilinguale Zugriff spielten ebenfalls eine Rolle. 135 Teilnehmer aus 35 Ländern waren dazu nach Den Haag gekommen. Das Programm umfasste mit 22 Vorträgen aus 14 verschiedenen Ländern eine breite Palette, wobei Großbritannien mit fünf Beiträgen am stärksten vertreten war. Die Tagesschwerpunkte wurden an beiden Konferenztagen durch die Eröffnungsvorträge gesetzt, die dann in insgesamt sechs thematischen Sitzungen weiter vertieft wurden.
    Date
    22. 1.2010 15:06:54
  11. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.01 
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    Abstract
    This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  12. Lange, C.; Mossakowski, T.; Galinski, C.; Kutz, O.: Making heterogeneous ontologies interoperable through standardisation : a Meta Ontology Language to be standardised: Ontology Integration and Interoperability (OntoIOp) (2011) 0.01 
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  13. Hinrichs, I.; Milmeister, G.; Schäuble, P.; Steenweg, H.: Computerunterstützte Sacherschließung mit dem Digitalen Assistenten (DA-2) (2016) 0.01 
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  14. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2014) 0.01 
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    Abstract
    This article reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The article discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and/or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the Dewey Decimal Classification [DDC] (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  15. Petras, V.: Heterogenitätsbehandlung und Terminology Mapping durch Crosskonkordanzen : eine Fallstudie (2010) 0.01 
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    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
  16. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.01 
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  17. Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010) 0.01 
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    Content
    Die vorliegende Arbeit wurde von der Philosophischen Fakultät I, der Humboldt-Universität zu Berlin im Jahr 2009 als Dissertation zur Erlangung des akademischen Grades Doctor philosophiae (Dr. phil.) angenommen.
  18. Latif, A.: Understanding linked open data : for linked data discovery, consumption, triplification and application development (2011) 0.01 
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    Abstract
    Linked Open Data initiative has played a vital role in the realization of the Semantic Web at a global scale by publishing and interlinking diverse data sources on the Web. Access to this huge amount of Linked Data presents exciting benefits and opportunities. However, the inherent complexity attached to Linked Data understanding, lack of potential use cases and applications which can consume Linked Data hinders its full exploitation by naïve web users and developers. This book aims to address these core limitations of Linked Open Data and contributes by presenting: (i) Conceptual model for fundamental understanding of Linked Open Data sphere, (ii) Linked Data application to search, consume and aggregate various Linked Data resources, (iii) Semantification and interlinking technique for conversion of legacy data, and (iv) Potential application areas of Linked Open Data.
  19. Euzenat, J.; Meilicke, C.; Stuckenschmidt, H.; Shvaiko, P.; Trojahn, C.: Ontology alignment evaluation initiative : six years of experience (2011) 0.01 
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  20. Dellschaft, K.; Hachenberg, C.: Repräsentation von Wissensorganisationssystemen im Semantic Web : ein Best Practice Guide (2011) 0.01 
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