Search (14 results, page 1 of 1)

  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"a"
  • × type_ss:"el"
  1. Xu, G.; Cao, Y.; Ren, Y.; Li, X.; Feng, Z.: Network security situation awareness based on semantic ontology and user-defined rules for Internet of Things (2017) 0.01
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    Abstract
    Internet of Things (IoT) brings the third development wave of the global information industry which makes users, network and perception devices cooperate more closely. However, if IoT has security problems, it may cause a variety of damage and even threaten human lives and properties. To improve the abilities of monitoring, providing emergency response and predicting the development trend of IoT security, a new paradigm called network security situation awareness (NSSA) is proposed. However, it is limited by its ability to mine and evaluate security situation elements from multi-source heterogeneous network security information. To solve this problem, this paper proposes an IoT network security situation awareness model using situation reasoning method based on semantic ontology and user-defined rules. Ontology technology can provide a unified and formalized description to solve the problem of semantic heterogeneity in the IoT security domain. In this paper, four key sub-domains are proposed to reflect an IoT security situation: context, attack, vulnerability and network flow. Further, user-defined rules can compensate for the limited description ability of ontology, and hence can enhance the reasoning ability of our proposed ontology model. The examples in real IoT scenarios show that the ability of the network security situation awareness that adopts our situation reasoning method is more comprehensive and more powerful reasoning abilities than the traditional NSSA methods. [http://ieeexplore.ieee.org/abstract/document/7999187/]
  2. Griffiths, T.L.; Steyvers, M.: ¬A probabilistic approach to semantic representation (2002) 0.01
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    Date
    29. 6.2015 14:55:01
    29. 6.2015 16:09:05
  3. Hoppe, T.: Semantische Filterung : ein Werkzeug zur Steigerung der Effizienz im Wissensmanagement (2013) 0.01
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    Date
    29. 9.2015 18:56:44
  4. Hauff-Hartig, S.: Wissensrepräsentation durch RDF: Drei angewandte Forschungsbeispiele : Bitte recht vielfältig: Wie Wissensgraphen, Disco und FaBiO Struktur in Mangas und die Humanities bringen (2021) 0.01
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    Date
    22. 5.2021 12:43:05
  5. Rindflesch, T.C.; Aronson, A.R.: Semantic processing in information retrieval (1993) 0.00
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    Date
    29. 6.2015 14:51:28
  6. Assem, M. van; Menken, M.R.; Schreiber, G.; Wielemaker, J.; Wielinga, B.: ¬A method for converting thesauri to RDF/OWL (2004) 0.00
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    Date
    29. 7.2011 14:44:56
  7. Priss, U.: Faceted knowledge representation (1999) 0.00
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    Date
    22. 1.2016 17:30:31
  8. Wielinga, B.; Wielemaker, J.; Schreiber, G.; Assem, M. van: Methods for porting resources to the Semantic Web (2004) 0.00
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    Date
    29. 7.2011 14:44:56
  9. Bittner, T.; Donnelly, M.; Winter, S.: Ontology and semantic interoperability (2006) 0.00
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    Date
    3.12.2016 18:39:22
  10. Priss, U.: Description logic and faceted knowledge representation (1999) 0.00
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    Date
    22. 1.2016 17:30:31
  11. Beppler, F.D.; Fonseca, F.T.; Pacheco, R.C.S.: Hermeneus: an architecture for an ontology-enabled information retrieval (2008) 0.00
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    Date
    28.11.2016 12:43:22
  12. Assem, M. van; Rijgersberg, H.; Wigham, M.; Top, J.: Converting and annotating quantitative data tables (2010) 0.00
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    Date
    29. 7.2011 14:44:56
  13. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.00
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    Date
    16.11.2018 14:22:01
  14. Assem, M. van: Converting and integrating vocabularies for the Semantic Web (2010) 0.00
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    Date
    29. 7.2011 14:44:56