Knowledge extraction and applications utilizing context data in knowledge graphs

• Autorzy: Dörpinghaus Jens , Stefan Andreas

Identyfikatory

DOI

10.15439/2019F3

• Konferencja: Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
• Języki publikacji: EN

Abstrakty

EN

Context is widely considered for NLP and knowledge discovery since it highly influences the exact meaning of natural language. The scientific challenge is not only to extract such context data, but also to store this data for further NLP approaches. Here, we propose a multiple step knowledge graph based approach to utilize context data for NLP and knowledge expression and extraction. We introduce the graph-theoretic foundation for a general context concept within semantic networks and show a proof-of-concept based on biomedical literature and text mining. We discuss the impact of this novel approach on text analysis, various forms of text recognition and knowledge extraction and retrieval.

Słowa kluczowe

EN

data mining; graph theory; knowledge based systems; natural language processing; semantic network; text analysis

PL

eksploracja danych; teoria grafów; systemy oparte na wiedzy; przetwarzanie języka naturalnego; sieć semantyczna; analiza tekstu

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2019
• Tom: Vol. 18
• Strony: 265--272
• Opis fizyczny: Bibliogr. 32 poz., rys., wykr.

Twórcy

autor

Dörpinghaus Jens

• Fraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, Germany

autor

Stefan Andreas

• Fraunhofer Institute for Algorithms and Scientific Computing, Schloss Birlinghoven, Sankt Augustin, Germany

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Uwagi

1. Track 2: Computer Science & Systems

2. Technical Session: 4th International Workshop on Language Technologies and Applications

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).