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  • × year_i:[2010 TO 2020}
  1. Desconnets, J.-C.; Chahdi, H.; Mougenot, I.: Application profile for earth observation images (2014) 0.11
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  2. Bampatzia, S.; Bravo-Quezada, O.G.; Antoniou, A.; Lopez Nores, M.; Wallace, M.; Lepouras, G.; Vasilakis, C.: ¬The use of semantics in the CrossCult H2020 project (2017) 0.11
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    Source
    Semantic keyword-based search on structured data sources: COST Action IC1302. Second International KEYSTONE Conference, IKC 2016, Cluj-Napoca, Romania, September 8-9, 2016, Revised Selected Papers. Eds.: A. Calì, A. et al
  3. Öttl, S.; Streiff, D.; Stettler, N.; Studer, M.: Aufbau einer Testumgebung zur Ermittlung signifikanter Parameter bei der Ontologieabfrage (2010) 0.11
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    Abstract
    Der Einsatz von semantischen Technologien ist mittlerweile ein etabliertes Mittel zur Optimierung von Information-Retrieval-Systemen. Obwohl der Einsatz von Ontologien für verschiedene Anwendungsbereiche wie beispielsweise zur Query-Expansion (Bhogal et al. 2007), zur Strukturierung von Benutzeroberflächen bzw. zur Dialoggestaltung (z. B. Garcia & Sicilia 2003; Liu et al. 2005; Lopez et al. 2006; Paulheim 2009; Paulheim & Probst 2010), in Recommendersystemen (z. B. Taehee et al. 2006; Cantador et al. 2008; Middleton et al. 2001; Middleton et al. 2009) usw. rege erforscht wird, gibt es noch kaum Bestrebungen, die einzelnen Abfragemethodiken für Ontologien systematisch zu untersuchen. Bei der Abfrage von Ontologien geht es in erster Linie darum, Zusammenhänge zwischen Begriffen zu ermitteln, indem hierarchische (Classes und Individuals), semantische (Object Properties) und ergänzende (Datatype Properties) Beziehungen abgefragt oder logische Verknüpfungen abgeleitet werden. Hierbei werden sogenannte Reasoner für die Ableitungen und als Abfragesprache SPARQL (seltener auch XPath) eingesetzt. Ein weiterer, weniger oft eingesetzter, vielversprechender Ansatz findet sich bei Hoser et al. (2006) und Weng & Chang (2008), die Techniken der Sozialen Netzwerkanalyse zur Auswertung von Ontologien miteinsetzen (Semantic Network Analysis). Um die Abfrage von Ontologien sowie Kombinationen der unterschiedlichen Abfragemöglichkeiten systematisch untersuchen zu können, wurde am SII eine entsprechende Testumgebung entwickelt, die in diesem Beitrag genauer vorgestellt werden soll.
  4. Gnoli, C.; Pusterla, L.; Bendiscioli, A.; Recinella, C.: Classification for collections mapping and query expansion (2016) 0.11
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    Source
    Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]
  5. Haustein, S.; Sugimoto, C.; Larivière, V.: Social media in scholarly communication : Guest editorial (2015) 0.11
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    Abstract
    Furthermore, the rise of the web, and subsequently, the social web, has challenged the quasi-monopolistic status of the journal as the main form of scholarly communication and citation indices as the primary assessment mechanisms. Scientific communication is becoming more open, transparent, and diverse: publications are increasingly open access; manuscripts, presentations, code, and data are shared online; research ideas and results are discussed and criticized openly on blogs; and new peer review experiments, with open post publication assessment by anonymous or non-anonymous referees, are underway. The diversification of scholarly production and assessment, paired with the increasing speed of the communication process, leads to an increased information overload (Bawden and Robinson, 2008), demanding new filters. The concept of altmetrics, short for alternative (to citation) metrics, was created out of an attempt to provide a filter (Priem et al., 2010) and to steer against the oversimplification of the measurement of scientific success solely on the basis of number of journal articles published and citations received, by considering a wider range of research outputs and metrics (Piwowar, 2013). Although the term altmetrics was introduced in a tweet in 2010 (Priem, 2010), the idea of capturing traces - "polymorphous mentioning" (Cronin et al., 1998, p. 1320) - of scholars and their documents on the web to measure "impact" of science in a broader manner than citations was introduced years before, largely in the context of webometrics (Almind and Ingwersen, 1997; Thelwall et al., 2005):
    Date
    20. 1.2015 18:30:22
  6. Lewandowski, D.: Query understanding (2011) 0.11
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    Abstract
    In diesem Kapitel wird beschrieben, wie Suchmaschinen Suchanfragen interpretieren können, um letztendlich den Nutzern besser auf ihren Kontext zugeschnittene Ergebnisse liefern zu können. Nach einer Diskussion der Notwendigkeit und der Einsatzmöglichkeiten des Query Understanding wird aufgezeigt, auf welcher Datenbasis und an welchen Ansatzpunkten Suchanfragen interpretiert werden können. Dann erfolgt eine Erläuterung der Interpretationsmöglichkeiten anhand der Suchanfragen-Facetten von Calderon-Benavides et al. (2010), welcher sich eine Diskussion der Verfahren zur Ermittlung der Facetten anschließt.
    Date
    18. 9.2018 18:22:18
  7. Helbing, D.: ¬Das große Scheitern (2019) 0.11
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    Content
    Vgl. auch den Beitrag von D. Helbing et al.: 'Digitale Demokratie statt Datendiktatur: Digital-Manifest' in: Spektrum der Wissenschaft. 2016, H.1, S.50-60.
    Date
    25.12.2019 14:19:22
  8. Reasoning Web : Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (2017) 0.10
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    Content
    Neumaier, Sebastian (et al.): Data Integration for Open Data on the Web - Stamou, Giorgos (et al.): Ontological Query Answering over Semantic Data - Calì, Andrea: Ontology Querying: Datalog Strikes Back - Sequeda, Juan F.: Integrating Relational Databases with the Semantic Web: A Reflection - Rousset, Marie-Christine (et al.): Datalog Revisited for Reasoning in Linked Data - Kaminski, Roland (et al.): A Tutorial on Hybrid Answer Set Solving with clingo - Eiter, Thomas (et al.): Answer Set Programming with External Source Access - Lukasiewicz, Thomas: Uncertainty Reasoning for the Semantic Web - Calvanese, Diego (et al.): OBDA for Log Extraction in Process Mining
    Editor
    Ianni, G. et al.
  9. Greenberg, J.; Murillo, A.; Ogletree, A.; Boyles, R.; Martin, N.; Romeo, C.: Metadata capital : automating metadata workflows in the NIEHS viral vector core laboratory (2014) 0.10
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  10. Amorim, R.C.; Castro, J.A.; Silva, J.R. da; Ribeiro, C.: LabTablet: semantic metadata collection on a multi-domain laboratory notebook (2014) 0.10
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  11. Zapounidou, S.; Sfakakis, M.; Papatheodorou, C.: Library data integration : towards BIBFRAME mapping to EDM (2014) 0.10
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  12. Diwisch, K.; Thull, B.; Papatheodorou, C.: Modeling and managing the digital archive of the Pina Bausch Foundation (2014) 0.10
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  13. Nédellec, C.; Bossy, R.; Valsamou, D.; Ranoux, M.; Golik, W.; Sourdille, P.: Information extraction from bbliography for marker-assisted selection in wheat (2014) 0.10
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  14. Amarger, F.; Chanet, J.-P.; Haemmerlé, O.; Hernandez, N.; Roussey, C.: SKOS sources transformations for ontology engineering : agronomical taxonomy use case (2014) 0.10
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    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  15. Koulouri, X.; Ifrim, C.; Wallace, M.; Pop, F.: Making sense of citations (2017) 0.10
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    Source
    Semantic keyword-based search on structured data sources: COST Action IC1302. Second International KEYSTONE Conference, IKC 2016, Cluj-Napoca, Romania, September 8-9, 2016, Revised Selected Papers. Eds.: A. Calì, A. et al
  16. Lueg, C.; Twidale, M.: Designing for humans, not robots (or vulcans) (2018) 0.10
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    Abstract
    There is growing interest in embodiment in information seeking, which we use as an opportunity to reconsider what we as designers of information interfaces aim for. While we have become quite good at developing interfaces that are effective at supporting specific needs or needs that have been rendered specific, we are still not good at providing interfaces that reflect a key human characteristic and strength: being embedded in this world and being curious about it. While this discussion is related to research into serendipity (see, e.g., Erdelez et al. 2016), we stay clear of this body of work since we feel the issue is a broader one: we seem to have become stuck designing interfaces that are more suitable for patient, logical, rational robots (or Vulcans) than for mammals who get tired, bored, exited, irritated, intrigued, or distracted, and who even change their minds about what they want to do.
  17. Engerer, V.: Indexierungstheorie für Linguisten : zu einigen natürlichsprachlichen Zügen in künstlichen Indexsprachen (2014) 0.09
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    Source
    Dialekte, Konzepte, Kontakte. Ergebnisse des Arbeitstreffens der Gesellschaft für Sprache und Sprachen, GeSuS e.V., 31. Mai - 1. Juni 2013 in Freiburg/Breisgau. Hrsg.: V. Schönenberger et al
  18. Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014) 0.09
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    Pages
    S.22-29
    Source
    Metadata and semantics research: 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings. Eds.: S. Closs et al
  19. Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016) 0.09
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    Editor
    Garoufallou, E. et al.
  20. Lange, C.; Ion, P.; Dimou, A.; Bratsas, C.; Sperber, W.; Kohlhasel, M.; Antoniou, I.: Bringing mathematics towards the Web of Data : the case of the Mathematics Subject Classification (2012) 0.09
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    Source
    9th Extended Semantic Web Conference (ESWC), 2012-05-27/2012-05-31 in Hersonissos, Crete, Greece. Eds.: Elena Simperl et al

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