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Knowledge Graphs [PDF]

Biodiversity Information Science and Standards, 2021
This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia.
Gutierrez, Claudio, de Melo, Gerard, Hogan, Aidan, d’Amato, Claudia, Ncumaicr, Sebastian, Rashid, Sabbir, Schmclzciscn, Lukas, Kirranc, Sabrina, Cochcz, Michael, Navigli, Roberto, Staab, Stefan, Pollcrcs, Axel, Ngonga Ngomo, Axcl-Cyrille, Gayo, José Emilio Labra, Blomqvist, Eva   +14 more
core   +8 more sources

Knowledge graphs [PDF]

ACM Computing Surveys, 2020
In this paper we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.
D’amato, Claudia, Polleres, Axel,, Schmelzeisen, Lukas, Rula, Anisa, Gayo, José Emilio Labra,, Ngomo, Axel-Cyrille Ngonga, de Melo, Gerard (Prof. Dr.), Rula, Anisa,, Sequeda, Juan,, Melo, Gerard de,, Gutierrez, Claudio,, Polleres, Axel, de Melo, Gerard,, Zimmermann, Antoine,, Neumaier, Sebastian, Lukas Schmelzeisen, Hogan, Aidan, d'Amato, Claudia,, Rashid, Sabbir, Juan Sequeda, Anisa Rula, Melo, Gerard De, Claudia d'Amato, Neumaier, Sebastian,, Hogan, Aidan,, Kirrane, Sabrina,, DAmato, Claudia,, Gutierrez, Claudio, de Melo, Gerard, Kirrane, Sabrina, Rashid, Sabbir M., Gerard de Melo, Aidan Hogan, Blomqvist, Eva,, Cochez, Michael, Steffen Staab, Claudio Gutierrez, Gayo, Jose Emilio Labra, Cochez, Michael,, José Emilio Labra Gayo, Axel-Cyrille Ngonga Ngomo, Sebastian Neumaier, d'Amato, Claudia, Michael Cochez, Ngomo, Axel-Cyrille Ngonga,, Blomqvist, Eva, Labra Gayo, Jose Emilio, Sabbir M. Rashid, Sequeda, Juan, Schmelzeisen, Lukas,, Labra Gayo, Jose Emilio,, Zimmermann, Antoine, Eva Blomqvist, Staab, Steffen, Sabrina Kirrane, Navigli, Roberto,, Rashid, Sabbir M.,, Antoine Zimmermann, Aidan, Hogan, Axel Polleres, DAmato, Claudia, Navigli, Roberto, Roberto Navigli, Ngonga Ngomo, Axel-Cyrille, Staab, Steffen,   +64 more
core   +20 more sources

Knowledge representation through graphs [PDF]

Procedia Computer Science, 2015
Due to the increasing amount of data, knowledge aggregation, representation and reasoning are highly important for companies. In this paper, knowledge aggregation is presented as the first step.
Pedrycz, Witold, Portmann, Edy, Kaltenrieder, Patrick   +2 more
core   +4 more sources

Resilience in Knowledge Graph Embeddings [PDF]

Transactions on Graph Data and Knowledge
In recent years, knowledge graphs have gained interest and witnessed widespread applications in various domains, such as information retrieval, question-answering, recommendation systems, amongst others.
Sharma, Arnab, Kouagou, N'Dah Jean, Ngomo, Axel-Cyrille Ngonga   +2 more
doaj   +6 more sources

Wikibase as an Infrastructure for Knowledge Graphs: The EU Knowledge Graph [PDF]

, 2021
Knowledge graphs are being deployed in many enterprises and institutions. An easy-to-use, well-designed infrastructure for such knowledge graphs is not obvious. After the success of Wikidata, many institutions are looking at the software infrastructure behind it, namely Wikibase.
Dennis Diefenbach, Max De Wilde, Samantha Alipio   +2 more
openaire   +3 more sources

XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
In the previous two decades, knowledge graphs have evolved, inspiring developers to build even more context related Knowledge Graphs. Because of this development, artificial intelligence applications can now access open domain-specific information in a format that is both semantically rich and machine comprehensible.
Alexandros Vassiliades, Spyridon, Sotiris, Georgios, Stefanos, Ioannis   +5 more
openaire   +2 more sources

XR4DRAMA Knowledge Graph: A Knowledge Graph for Disaster Management

2023 IEEE 17th International Conference on Semantic Computing (ICSC), 2023
The evolution of Knowledge Graphs (KGs), during the last two decades, has encouraged developers to create more and more context related KGs. This advance is extremely important because Artificial Intelligence (AI) applications can access open domain specific information in a semantically rich, machine understandable format.
Alexandros Vassiliades, Spyridon Symeonidis, Sotiris Diplaris, Georgios Tzanetis, Stefanos Vrochidis, Nick Bassiliades, Ioannis Kompatsiaris   +6 more
openaire   +2 more sources

Constructing Knowledge Graphs for Online Collaborative Programming

IEEE Access, 2021
This study aimed to automatically construct knowledge graphs for online collaborative programming. We proposed several models and developed a system to construct knowledge graphs based on online discussion texts and the target knowledge graph for the C ...
Yuanyi Zhen, Lanqin Zheng, Penghe Chen
doaj   +1 more source

A Knowledge Graph Perspective on Knowledge Engineering

SN Computer Science, 2022
AbstractFor over 50 years researchers and practitioners have searched for ways to elicit and formalize expert knowledge to support AI applications. Expert systems and knowledge bases were all results of these efforts. The initial efforts on knowledge bases were focused on defining a domain and task intensionally with rather complex ontologies.
Simsek, Umutcan, Kärle, Elias, Angele, Kevin, Huaman, Elwin, Opdenplatz, Juliette, Sommer, Dennis, Umbrich, Jürgen, Fensel, Dieter   +7 more
openaire   +1 more source

Conceptual Graphs Based Information Retrieval in HealthAgents [PDF]

, 2007
This paper focuses on the problem of representing, in a meaningful way, the knowledge involved in the HealthAgents project. Our work is motivated by the complexity of representing Electronic Health-care Records in a consistent manner.
Garcia-Gomez, J.M., Madalina Croitoru, Carlos Saez, Javier Vicente, Gibb, A, Rafael, X, Bo Hu, Paul Lewis, Juan Miguel Garcia-Gomez, Mariola Mier, Mier, M, Vicente, J, Estanyol, F, Margarida Julia-Sape, Hu, Bo, Roman Roset, Xavier Rafael, Dupplaw, David, Croitoru, Madalina, Roset, R, Lewis, Paul, Julia-Sape, M, David Dupplaw, Alex Gibb, Francesc Estanyol, Dasmahapatra, Srinandan, Saez, C, Srinandan Dasmahapatra   +27 more
core   +2 more sources