Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing

Christian Nawroth, Matthäus Schmedding, Michael Fuchs, Holger Brocks, Michael Kaufmann, Matthias Hemmje

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

The organized capturing and sharing of knowledge is very important, and a lot of tools, such as wikis, social communities and knowledge-management or e-learning portals, exist for supporting this purpose. The community content- and knowledge-capturing, management and sharing portal of the European project “Realising an Applied Gaming Eco-system” (RAGE) combines such tools. The goal of the RAGE project is to boost the collaborative knowledge asset management for software development in European applied gaming (AG) research and development (R&D). To support this process, the so-called RAGE ecosystem implements a portal to support the related asset, content and knowledge exchange between diverse actors in AG communities. Therefore, the community portal in RAGE is designed as a so-called ecosystem and is intended to provide its users different tools for the capturing, management, and sharing of knowledge. In this study, we rely on the term and model definition of spiraling knowledge exchange between explicit and tacit knowledge given by Nonaka and Takeuchi.1 To achieve the goal of extracting, i.e., externalizing and explicitly representing and sharing this knowledge to its users, we propose to generate a taxonomy for faceted search automatically by extracting named entities form the knowledge sources and to classify documents using Support Vector Machines (SVM). In this paper we present our architectural approach for the NLP-based IR concepts and discuss how cloud services based on data distribution and cloud computing can improve the outcome of our system.
Original languageEnglish
Title of host publicationProcedia Computer Science
Subtitle of host publication1st International Conference on Cloud Forward: From Distributed to Complete Computing
EditorsKeith Jeffery, Dimosthenis Kyriazis
Pages206-216
Volume68
DOIs
Publication statusPublished - 4 Oct 2015
Externally publishedYes
EventCloud Forward 2015 Conference: From Distributed to Complete Computing - Pisa, Italy
Duration: 6 Oct 20158 Oct 2015
https://www.holacloud.eu/cloud-forward-2015-conference/

Conference

ConferenceCloud Forward 2015 Conference
Abbreviated titleHOLACONF
CountryItaly
CityPisa
Period6/10/158/10/15
Internet address

Fingerprint

Knowledge management
Processing
Ecosystems
Asset management
Taxonomies
Cloud computing
Support vector machines
Software engineering

Keywords

  • Storage Cloud
  • Scientific Cloud
  • natural language processing
  • Named Entity Recognition
  • Support Vector Machines
  • knowledge management

Cite this

Nawroth, C., Schmedding, M., Fuchs, M., Brocks, H., Kaufmann, M., & Hemmje, M. (2015). Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing. In K. Jeffery, & D. Kyriazis (Eds.), Procedia Computer Science: 1st International Conference on Cloud Forward: From Distributed to Complete Computing (Vol. 68, pp. 206-216) https://doi.org/10.1016/j.procs.2015.09.236
Nawroth, Christian ; Schmedding, Matthäus ; Fuchs, Michael ; Brocks, Holger ; Kaufmann, Michael ; Hemmje, Matthias. / Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing. Procedia Computer Science: 1st International Conference on Cloud Forward: From Distributed to Complete Computing. editor / Keith Jeffery ; Dimosthenis Kyriazis. Vol. 68 2015. pp. 206-216
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title = "Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing",
abstract = "The organized capturing and sharing of knowledge is very important, and a lot of tools, such as wikis, social communities and knowledge-management or e-learning portals, exist for supporting this purpose. The community content- and knowledge-capturing, management and sharing portal of the European project “Realising an Applied Gaming Eco-system” (RAGE) combines such tools. The goal of the RAGE project is to boost the collaborative knowledge asset management for software development in European applied gaming (AG) research and development (R&D). To support this process, the so-called RAGE ecosystem implements a portal to support the related asset, content and knowledge exchange between diverse actors in AG communities. Therefore, the community portal in RAGE is designed as a so-called ecosystem and is intended to provide its users different tools for the capturing, management, and sharing of knowledge. In this study, we rely on the term and model definition of spiraling knowledge exchange between explicit and tacit knowledge given by Nonaka and Takeuchi.1 To achieve the goal of extracting, i.e., externalizing and explicitly representing and sharing this knowledge to its users, we propose to generate a taxonomy for faceted search automatically by extracting named entities form the knowledge sources and to classify documents using Support Vector Machines (SVM). In this paper we present our architectural approach for the NLP-based IR concepts and discuss how cloud services based on data distribution and cloud computing can improve the outcome of our system.",
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Nawroth, C, Schmedding, M, Fuchs, M, Brocks, H, Kaufmann, M & Hemmje, M 2015, Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing. in K Jeffery & D Kyriazis (eds), Procedia Computer Science: 1st International Conference on Cloud Forward: From Distributed to Complete Computing. vol. 68, pp. 206-216, Cloud Forward 2015 Conference, Pisa, Italy, 6/10/15. https://doi.org/10.1016/j.procs.2015.09.236

Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing. / Nawroth, Christian; Schmedding, Matthäus; Fuchs, Michael; Brocks, Holger; Kaufmann, Michael; Hemmje, Matthias.

Procedia Computer Science: 1st International Conference on Cloud Forward: From Distributed to Complete Computing. ed. / Keith Jeffery; Dimosthenis Kyriazis. Vol. 68 2015. p. 206-216.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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AU - Hemmje, Matthias

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AB - The organized capturing and sharing of knowledge is very important, and a lot of tools, such as wikis, social communities and knowledge-management or e-learning portals, exist for supporting this purpose. The community content- and knowledge-capturing, management and sharing portal of the European project “Realising an Applied Gaming Eco-system” (RAGE) combines such tools. The goal of the RAGE project is to boost the collaborative knowledge asset management for software development in European applied gaming (AG) research and development (R&D). To support this process, the so-called RAGE ecosystem implements a portal to support the related asset, content and knowledge exchange between diverse actors in AG communities. Therefore, the community portal in RAGE is designed as a so-called ecosystem and is intended to provide its users different tools for the capturing, management, and sharing of knowledge. In this study, we rely on the term and model definition of spiraling knowledge exchange between explicit and tacit knowledge given by Nonaka and Takeuchi.1 To achieve the goal of extracting, i.e., externalizing and explicitly representing and sharing this knowledge to its users, we propose to generate a taxonomy for faceted search automatically by extracting named entities form the knowledge sources and to classify documents using Support Vector Machines (SVM). In this paper we present our architectural approach for the NLP-based IR concepts and discuss how cloud services based on data distribution and cloud computing can improve the outcome of our system.

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ER -

Nawroth C, Schmedding M, Fuchs M, Brocks H, Kaufmann M, Hemmje M. Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing. In Jeffery K, Kyriazis D, editors, Procedia Computer Science: 1st International Conference on Cloud Forward: From Distributed to Complete Computing. Vol. 68. 2015. p. 206-216 https://doi.org/10.1016/j.procs.2015.09.236