Results 21 to 30 of about 353,050 (214)
Analysis of Knowledge Graph Path Reasoning Based on Variational Reasoning
Applied Sciences, 2022 Knowledge graph (KG) reasoning improves the perception ability of graph structure features, improving model accuracy and enhancing model learning and reasoning capabilities.
Hongmei Tang +5 more
doaj +1 more source
Narrativizing Knowledge Graphs [PDF]
, 2022 Any natural language expression of a set of facts – that can be represented as a knowledge graph – will more or less overtly assume a specific perspective on these facts. In this paper we see the conversion of a given knowledge graph into natural language as the construction of a narrative about the assertions made by the knowledge graph. We, therefore,
Porzel, Robert +5 more
openaire +3 more sources
Frontiers in Big Data, 2023 The knowledge graph is one of the essential infrastructures of artificial intelligence. It is a challenge for knowledge engineering to construct a high-quality domain knowledge graph for multi-source heterogeneous data.
Chenwei Yan +6 more
doaj +1 more source
Transactions on Graph Data and Knowledge [PDF]
, 2023 Transactions on Graph Data and Knowledge (TGDK) is a new journal publishing peer-reviewed research on graph-based abstractions for data and knowledge, as well as the techniques, theories, applications and results that arise in this setting.
Kagal, Lalana +3 more
core +1 more source
Graph Modeling in Computer Assisted Automotive Development
, 2023 203210We consider graph modeling for a knowledge graph for vehicle development, with a focus on crash safety. An organized schema that incorporates information from various structured and unstructured data sources is provided, which includes relevant ...
Pakiman, Anahita, Garcke, Jochen
core +2 more sources
RubenVerborgh/Knowledge-Graph-Conference-2022: v1.0.0
, 2022 Slides for my talk at the Knowledge Graph Conference ...
Ruben Verborgh
core +1 more source
A Dynamic Convolutional Network-Based Model for Knowledge Graph Completion
Information, 2022 Knowledge graph embedding can learn low-rank vector representations for knowledge graph entities and relations, and has been a main research topic for knowledge graph completion.
Haoliang Peng, Yue Wu
doaj +1 more source
Graph-based implicit knowledge discovery from architecture change logs [PDF]
, 2012 Service architectures continuously evolve as a consequence of frequent business and technical change cycles. Architecture change log data represents a source of evolution-centric information in terms of intent, scope and operationalisation to ...
Pooyan Jamshidi (5276344) +12 more
core +1 more source
vibhavnirmal/Knowledge-Graph-based-QnA: KW_QnA
, 2023 Knowledge Graph based Question and Answering program to get information from huge amount of ...
Vibhav, vendyv
core +1 more source