Results 341 to 350 of about 7,092,434 (358)

Personalized Environment for Querying Semantic Knowledge Graphs: a MapReduce Solution

open access: green, 2017
Mostafa Bamha   +4 more
openalex   +1 more source

Towards a Knowledge Graph for Teaching Knowledge Graphs

open access: yesInternational Workshop on the Semantic Web
This poster paper describes the ongoing research project for the creation of a use-case-driven Knowledge Graph resource tailored to the needs of teaching education in Knowledge Graphs (KGs). We gather resources related to KG courses from lectures offered
Eleni Ilkou, Ernesto Jim'enez-Ruiz
semanticscholar   +3 more sources

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

World wide web (Bussum), 2023
This paper presents an exhaustive quantitative and qualitative evaluation of Large Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning.
Yuqi Zhu   +8 more
semanticscholar   +1 more source

Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting

AAAI Conference on Artificial Intelligence, 2023
Incorporating factual knowledge in knowledge graph is regarded as a promising approach for mitigating the hallucination of large language models (LLMs).
Xinyan Guan   +6 more
semanticscholar   +1 more source

CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution

IEEE Transactions on Knowledge and Data Engineering, 2023
Open-source cyber threat intelligence (OSCTI) is becoming more influential in obtaining current network security information. Most studies on cyber threat intelligence (CTI) focus on automating the extraction of threat entities from public sources that ...
Yitong Ren   +4 more
semanticscholar   +1 more source

UrbanKG: An Urban Knowledge Graph System

ACM Transactions on Intelligent Systems and Technology, 2023
Every day, our living city produces a tremendous amount of spatial-temporal data, involved with multiple sources from the individual scale to the city scale.
Yu Liu, Jingtao Ding, Yanjie Fu, Yong Li
semanticscholar   +1 more source

KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction

IEEE Transactions on Knowledge and Data Engineering, 2023
Molecular interaction prediction is essential in various applications including drug discovery and material science. The problem becomes quite challenging when the interaction is represented by unmapped relationships in molecular networks, namely ...
Tengfei Ma   +4 more
semanticscholar   +1 more source

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