Results 11 to 20 of about 733,474 (306)

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. In the sequel, successful knowledge representation, for instance through graphs, enables knowledge-based reasoning.
Edy Portmann, Patrick Kaltenrieder, Witold Pedrycz   +2 more
openaire   +2 more sources

Knowledge Representation and Management 2022: Findings in Ontology Development and Applications. [PDF]

Yearb Med Inform, 2023
OBJECTIVES: To select, present, and summarize the best papers in 2022 for the Knowledge Representation and Management (KRM) section of the International Medical Informatics Association (IMIA) Yearbook.
Charlet J, Cui L, Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management.   +2 more
europepmc   +2 more sources

Knowledge Representation and Management: 2023 Highlights and the Rise of Knowledge Graph Embeddings. [PDF]

Yearb Med Inform
Objectives: We aim to identify, select, and summarize the best papers published in 2023 for the Knowledge Representation and Management (KRM) section of the International Medical Informatics Association (IMIA) Yearbook.
Charlet J, Cui L, Section Editors for the IMIA Yearbook Section on Knowledge Representation and Management.   +2 more
europepmc   +2 more sources

Ten years of knowledge representation for health care (2009–2018): Topics, trends, and challenges [PDF]

, 2019
Background: In the last ten years, the international workshop on knowledge representation for health care (KR4HC) has hosted outstanding contributions of the artificial intelligence in medicine community pertaining to the formalization and representation
Peleg, Mor, ten Teije, Annette, Riaño, David, ten Teije, Annette; id_orcid   +3 more
core   +1 more source

Knowledge graph representation and reasoning

, 2021
Recent years have witnessed the release of many open-source and enterprise-driven knowledge graphs with a dramatic increase of applications of knowledge representation and reasoning in fields such as natural language processing, computer vision, and ...
Philip S. Yu, Shirui Pan, Ji, S, Yu, PS, Ji, Shaoxiong, Erik Cambria, Shaoxiong Ji, Cambria, Erik, Pan, Shirui, Cambria, E, Yu, Philip S, Pan, S   +11 more
core   +1 more source

The conceptual interdisciplinarity of context in the perspective of knowledge representation [PDF]

, 2022
Introduction: The word context has different interpretations, depending on the terminological approach given to it, in relation to language, it can be considered from the terminological point of view, linguistic context, and metalinguistic.
Franciele Marques Redigolo, Mariângela Spotti Lopes Fujita, Gercina Ângela de Lima   +2 more
core  

From Knowledge Organization to Knowledge Representation [PDF]

KNOWLEDGE ORGANIZATION, 2014
LIS developed its own very successful solutions for the classification and search of documents. In KO, search is focused on document properties (e.g. title, author, subject). KO tends to fail in situations when users express their needs in terms of entity properties (e.g., of the author).
Giunchiglia, Fausto, Dutta, B., Maltese, Vincenzo   +2 more
openaire   +2 more sources

Evaluation of Knowledge Credibility Based on Knowledge Representation Learning [PDF]

Jisuanji gongcheng, 2021
The developing automated construction technology and the growing amount of information have introduced noises and conflicts into knowledge graph.For this reason,the evaluation of knowledge credibility is required to better support the application of ...
ZHANG Xiaoming, SUN Weiya, WANG Huiyong
doaj   +1 more source

IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning [PDF]

, 2023
Knowledge Graphs (KGs), a structural way to model human knowledge, have been a critical component of many artificial intelligence applications. Many KG-based tasks are built using knowledge representation learning, which embeds KG entities and relations ...
Zhang, Weihang, Sun, Jiahao, Guo, Yike, Serban, Ovidiu, Ovidiu Șerban, Yike Guo, Jiahao Sun, Weihang Zhang   +7 more
core   +1 more source

Knowledge Representation with Attribute Grammars [PDF]

The Computer Journal, 1986
Summary: The use of attribute grammars for knowledge representation is examined in the present paper. It is shown how data knowledge and knowledge-base knowledge can be represented using syntactic and semantic notation. Control knowledge is represented by the parsing mechanism of the interpreter used.
George K. Papakonstantinou, John Kontos
openaire   +2 more sources