Structured query construction via knowledge graph embedding
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DOI: 10.1007/s10115-019-01401-x
Abstract: In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language questions. At the core of the construction is to… read more here.
Keywords: graph embedding; knowledge; query construction; knowledge graph ... See more keywords
DBkWik: extracting and integrating knowledge from thousands of Wikis
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DOI: 10.1007/s10115-019-01415-5
Abstract: Popular cross-domain knowledge graphs, such as DBpedia and YAGO, are built from Wikipedia, and therefore similar in coverage. In contrast, Wikifarms like Fandom contain Wikis for specific topics, which are often complementary to the information… read more here.
Keywords: integrating knowledge; extracting integrating; dbkwik extracting; knowledge ... See more keywords
Dynamic knowledge graph based fake-review detection
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DOI: 10.1007/s10489-020-01761-w
Abstract: Online product reviews are an important driver of customers’ purchasing behavior. Fake reviews seriously mislead consumers, challenging the fairness of the online shopping environment. Although the detection of fake reviews has progressed, several problems remain.… read more here.
Keywords: review detection; detection; fake review; knowledge graph ... See more keywords
KG-DTI: a knowledge graph based deep learning method for drug-target interaction predictions and Alzheimer’s disease drug repositions
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DOI: 10.1007/s10489-021-02454-8
Abstract: Drug repositioning, which recommends approved drugs to potential targets by predicting drug-target interactions (DTIs), can save the cost and shorten the period of drug development. In this work, we propose a novel knowledge graph based… read more here.
Keywords: knowledge graph; drug; target; drug target ... See more keywords
Interpreting and predicting social commerce intention based on knowledge graph analysis
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DOI: 10.1007/s10660-019-09392-1
Abstract: There have been significant efforts to understand, describe, and predict the social commerce intention of users in the areas of social commerce and web data management. Based on recent developments in knowledge graph and inductive… read more here.
Keywords: social commerce; knowledge graph; commerce intention; commerce ... See more keywords
Knowledge graph summarization impacts on movie recommendations
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DOI: 10.1007/s10844-021-00650-z
Abstract: A classical problem that frequently compromises Recommender System (RS) accuracy is the sparsity of the data about the interactions of the users with the items to be recommended. The use of side information (e.g. movie… read more here.
Keywords: information; summarization; knowledge graph; movie ... See more keywords
An Assembly Information Model Based on Knowledge Graph
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DOI: 10.1007/s12204-020-2179-y
Abstract: There are heterogeneous problems between the CAD model and the assembly process document. In the planning stage of assembly process, these heterogeneous problems can decrease the efficiency of information interaction. Based on knowledge graph, this… read more here.
Keywords: assembly process; knowledge graph; model; information ... See more keywords
Automatic approach for constructing a knowledge graph of knee osteoarthritis in Chinese
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DOI: 10.1007/s13755-020-0102-4
Abstract: In this study, a medical knowledge graph is constructed from the electronic medical record text of knee osteoarthritis patients to support intelligent medical applications such as knowledge retrieval and decision support, and to promote the… read more here.
Keywords: knowledge graph; graph knee; knee osteoarthritis;
Modeling of unsupervised knowledge graph of events based on mutual information among neighbor domains and sparse representation
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DOI: 10.1016/j.dt.2021.07.004
Abstract: Abstract Text event mining, as an indispensable method of text mining processing, has attracted the extensive attention of researchers. A modeling method for knowledge graph of events based on mutual information among neighbor domains and… read more here.
Keywords: mutual information; knowledge graph; feature; sparse representation ... See more keywords
Hierarchical-aware relation rotational knowledge graph embedding for link prediction
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DOI: 10.1016/j.neucom.2021.05.093
Abstract: Abstract Knowledge graph embedding, as the upstream task of link prediction which aims to predict new links between entities under the premise of known relations, its reliability greatly affects the performance of link prediction. However,… read more here.
Keywords: link prediction; graph; knowledge graph;
DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy
Sign Up to like & getrecommendations! Published in 2022 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.12.079
Abstract: Capturing the composition patterns of relations is a vital task in knowledge graph completion. It also serves as a fundamental step towards multi-hop reasoning over learned knowledge. Previously, rotation-based translational methods, e.g., RotatE, have been… read more here.
Keywords: knowledge; non commutative; graph embedding; knowledge graph ... See more keywords