Szczegóły publikacji
Opis bibliograficzny
Extended knowledge graphs: a conceptual study / Weronika T. ADRIAN, Marek ADRIAN, Krzysztof KLUZA, Bernadetta STACHURA-TERLECKA, Antoni LIGĘZA // W: IC3K 2020 [Dokument elektroniczny] : proceedings of the 12th international joint conference on Knowledge discovery, knowledge engineering and knowledge management : November 2-4, 2020. Vol. 2, KEOD : 12th international conference on Knowledge Engineering and Ontology Development / eds. David Aveiro, Jan Dietz, Joaquim Filipe. — Wersja do Windows. — Dane tekstowe. — [S. l.] : SciTePress - Science and Technology Publications, 2020. — e-ISBN: 978-989-758-474-9. — S. 173-180. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 179-180, Abstr.
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 131539 |
|---|---|
| Data dodania do BaDAP | 2020-12-16 |
| Tekst źródłowy | URL |
| DOI | 10.5220/0010111601730180 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons |
Abstract
The amount and variety of data that we produce every day pose a constant challenge for meaningful information processing. While knowledge graphs have gained a considerable attention in the recent years, due to their flexible and universal knowledge representation, they lack the mechanisms facilitating knowledge processing. In this paper, we propose an information system called extended knowledge graphs (EKG) that augments the concept of knowledge graphs with procedural attachments. We put forward the requirements and assumption of the EKG structure and present a categorisation of supported reasoning tasks.