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Resources for Graph Data and Knowledge [PDF]
Transactions on Graph Data and KnowledgeIn this Special Issue of Transactions on Graph Data and Knowledge - entitled "Resources for Graph Data and Knowledge" - we present eight articles that describe key resources in the area.
Hogan, Aidan +4 more
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Entity Profiling in Knowledge Graphs
IEEE Access, 2020 Knowledge Graphs (KGs) are graph-structured knowledge bases storing factual information about real-world entities. Understanding the uniqueness of each entity is crucial to the analyzing, sharing, and reusing of KGs.
Xiang Zhang +3 more
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Efficient pruning of large knowledge graphs [PDF]
, 2018 In this paper we present an efficient and highly accurate algorithm to prune noisy or over-ambiguous knowledge graphs given as input an extensional definition of a domain of interest, namely as a set of instances or concepts. Our method climbs the graph
Faralli, Stefano +3 more
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NOUS: Construction and Querying of Dynamic Knowledge Graphs [PDF]
, 2016 The ability to construct domain specific knowledge graphs (KG) and perform question-answering or hypothesis generation is a transformative capability.
Agarwal, Khushbu +6 more
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Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020 Knowledge Graphs can be considered as fulfilling an early vision in Computer Science of creating intelligent systems that integrate knowledge and data at large scale. Stemming from scientific advancements in research areas of Semantic Web, Databases, Knowledge representation, NLP, Machine Learning, among others, Knowledge Graphs have rapidly gained ...
Claudio Gutierrez, Juan F. Sequeda
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Survey of Research on Knowledge Graph Based on Pre-trained Language Models [PDF]
Jisuanji kexueIn the era of large language models(LLMs),knowledge graphs(KGs),as a structured representation of knowledge,play an irreplaceable role in enhancing the reliability,security,and interpretability of artificial intelligence.With its superior performance in ...
ZENG Zefan, HU Xingchen, CHENG Qing, SI Yuehang, LIU Zhong
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Word graphs: The third set [PDF]
, 2000 This is the third paper in a series of natural language processing in term of knowledge graphs. A word is a basic unit in natural language processing. This is why we study word graphs.
Hoede, C., Zhang, Lei
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Entity Type Prediction in Knowledge Graphs using Embeddings [PDF]
, 2020 Open Knowledge Graphs (such as DBpedia, Wikidata, YAGO) have been recognized as the backbone of diverse applications in the field of data mining and information retrieval.
Alam, Mehwish +3 more
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Text-Graph Enhanced Knowledge Graph Representation Learning [PDF]
Frontiers in Artificial Intelligence, 2021 Knowledge Graphs (KGs) such as Freebase and YAGO have been widely adopted in a variety of NLP tasks. Representation learning of Knowledge Graphs (KGs) aims to map entities and relationships into a continuous low-dimensional vector space. Conventional KG embedding methods (such as TransE and ConvE) utilize only KG triplets and thus suffer from structure
Linmei Hu +6 more
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Applications of knowledge graphs for food science and industry
Patterns, 2022 Summary: The deployment of various networks (e.g., Internet of Things [IoT] and mobile networks), databases (e.g., nutrition tables and food compositional databases), and social media (e.g., Instagram and Twitter) generates huge amounts of food data ...
Weiqing Min +3 more
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