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Filling Gaps in Industrial Knowledge Graphs via Event-Enhanced Embedding

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Marcel Hildebrandt, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kröger
2018 International Semantic Web Conference  
We address this problem by proposing an Event-enhanced Knowledge Learning (EKL) approach for KG completion that intuitively has two sub-steps: 1.  ...  The goal of this work is to understand how event logs can enhance relational learning for KGs.  ... 
dblp:conf/semweb/RingsquandlK0HL18 fatcat:twqzku4xrfa3vjo5ooc4rzyf4m

On event-driven knowledge graph completion in digital factories

Martin Ringsquandl, Evgeny Kharlamov, Daria Stepanova, Steffen Lamparter, Raffaello Lepratti, Ian Horrocks, Peer Kroger
2017 2017 IEEE International Conference on Big Data (Big Data)  
In particular, we show how knowledge completion can benefit from event logs that are common in smart factories.  ...  In this work we show how machine learning that is specifically tailored towards industrial applications can help in knowledge graph completion.  ...  We evaluated our machine learning method in these scenarios and showed that with the help of our event-enhanced learning model it can do a good quality KG completion and therefore synchronise the digital  ... 
doi:10.1109/bigdata.2017.8258105 dblp:conf/bigdataconf/RingsquandlKSLL17 fatcat:zsujquk2gve7fc4ut3463kqdbu

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations [article]

Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Jindong Gu, Heinz Köppl, Hinrich Schütze, Volker Tresp
2022 arXiv   pre-print
as temporal KG completion.  ...  ., knowledge graphs (KGs) also contain temporal facts or events indicating evolutionary relationships among entities at different timestamps. (2) PLMs cannot be directly applied to many KG tasks, such  ...  Besides, the models mentioned above enhance language of PLMs by injecting external knowledge from KGs. But for many knowledge graph tasks, e.g., tKG completion, it is not appropriate to apply PLMs.  ... 
arXiv:2203.09590v3 fatcat:vovdzstpzrcmlnray7ojmplhtq

RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion [article]

Youri Xu, E Haihong, Meina Song, Wenyu Song, Xiaodong Lv, Wang Haotian, Yang Jinrui
2021 arXiv   pre-print
In this paper, we propose a Recursive Temporal Fact Embedding (RTFE) framework to transplant SKGE models to TKGs and to enhance the performance of existing TKGE models for TKG completion.  ...  Since RTFE learns each timestamp recursively, it can naturally transit to future timestamps. Experiments on five TKG datasets show the effectiveness of RTFE.  ...  prediction model by using background information provided by KG and recent events.  ... 
arXiv:2009.14653v4 fatcat:63torcfukrhibif2w3fvbftece

c-Jun-N-terminal kinase 1 is necessary for nicotine-induced enhancement of contextual fear conditioning

Prescott T. Leach, Justin W. Kenney, Thomas J. Gould
2016 Neuroscience Letters  
Acute nicotine enhances hippocampus-dependent learning.  ...  These data suggest that JNK1 may be recruited by nicotine and is functionally necessary for the acute effects of nicotine on learning and memory.  ...  All breeding for behavioral analysis was carried out using heterozygous by heterozygous matings, which were conducted after the completion of backcrossing.  ... 
doi:10.1016/j.neulet.2016.05.048 pmid:27235579 pmcid:PMC4939116 fatcat:uicyvbxusveqtadu2htgrhvhku

What is Event Knowledge Graph: A Survey [article]

Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo
2022 arXiv   pre-print
form like Event KG (EKG).  ...  Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are also an essential kind of knowledge in the world, which trigger the spring up of event-centric knowledge representation  ...  TABLE 6 6 Comparison of methods for event argument completion.  ... 
arXiv:2112.15280v2 fatcat:szx75hnmbjem3cyltefxybanai

EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness

Shifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, Weichao Wang
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
Generating emotional responses is crucial for building human-like dialogue systems.  ...  To learn such context-specific patterns, we propose a learning mechanism called event mention masking generalization, which explicitly excludes event information for learning.  ...  While M MMR is completely opposite. The full model can take advantage of M KG and M MMR to make a more accurate prediction.  ... 
doi:10.24963/ijcai.2020/499 dblp:conf/ijcai/Liu0020 fatcat:xqovzg7odjglhbxl267pnit2da

Double Dissociation of Nicotinic alpha-7 and alpha-4/beta-2 Sub-receptor Agonists for Enhancing Learning and Attentional Filtering of Distraction [article]

Maryzeh Azimi, Mariann Oemisch, Thilo Womelsdorf
2018 bioRxiv   pre-print
These insights will be critical for developing function-specific drugs alleviating attention and learning deficits in neuro-psychiatric diseases.  ...  We found that the alpha-7 nAChR agonist PHA- 543613 selectively enhanced the learning speed of feature values but did not modulate how salient distracting information was filtered from ongoing choice processes  ...  We did find, however, that good dosing of α4β2 agonists enhanced filtering distracting events when they co-occurred with the target event.  ... 
doi:10.1101/369496 fatcat:5z76pzhm65eszdojvleakgfxlq

Epinephrine enhancement of human memory consolidation: Interaction with arousal at encoding

Larry Cahill, Michael T. Alkire
2003 Neurobiology of Learning and Memory  
In the present study, healthy subjects viewed a series of 21 slides, and immediately after received an intravenous infusion of either saline or epinephrine (40 or 80 ng/kg/min).  ...  Epinephrine dose-dependently increased memory for the primacy slides, but did not affect memory of the recency slides.  ...  Post-learning epinephrine administration (80 ng/kg/min) significantly enhanced recall of the primacy slides, but did not affect recall of the recency slides.  ... 
doi:10.1016/s1074-7427(02)00036-9 pmid:12591227 fatcat:xtm7pebjevcgbhxc6pp2tubcka

Behavioral Stress May Increase the Rewarding Valence of Cocaine-Associated Cues Through a Dynorphin/κ-Opioid Receptor-Mediated Mechanism without Affecting Associative Learning or Memory Retrieval Mechanisms

Abigail G Schindler, Shuang Li, Charles Chavkin
2010 Neuropsychopharmacology  
To determine whether FSS potentiated CPP by enhancing associative learning mechanisms, mice were conditioned with cocaine in the absence of stress, then challenged after association was complete with the  ...  The results from this study show that the potentiation of cocaine-CPP by KOR activation does not result from an enhancement of associative learning mechanisms and that stress may instead enhance the rewarding  ...  We thank Dan Messinger for genotyping the mice and maintaining the breeding colony.  ... 
doi:10.1038/npp.2010.67 pmid:20445500 pmcid:PMC2904851 fatcat:jldhksksxvec5mvtmgrcwiv35q

Isoproterenol Increases CREB Phosphorylation and Olfactory Nerve-Evoked Potentials in Normal and 5-HT-Depleted Olfactory Bulbs in Rat Pups Only at Doses That Produce Odor Preference Learning

Q. Yuan
2000 Learning & memory (Cold Spring Harbor, N.Y.)  
A dose of 6 mg/kg isoproterenol, which was ineffective in modulating these measures in normal rat pups, induced odor preference learning, enhanced phosphorylated CREB (pCREB) expression, and increased  ...  Systemic injection of 2 mg/kg isoproterenol (␤-adrenoceptor agonist) induced odor preference learning, enhanced pCREB expression in the olfactory bulbs at 10 min after odor pairing, and increased ON-EFPs  ...  ACKNOWLEDGMENTS We thank Mark Power and Steve Milway for technical assistance in parts of these experiments. This work was supported by the MRC of Canada (grant 14148).  ... 
doi:10.1101/lm.35900 pmid:11112800 pmcid:PMC311343 fatcat:l225ydfk6zhpzlenejs7wc76ya

Problem- Based Cybersecurity Lab with Knowledge Graph as Guidance

Yuli Deng, Zhen Zeng, Kritshekhar Jha, Dijiang Huang
2022 Journal of Artificial Intelligence and Technology  
Problem-based Learning (PBL) has been identified as an efficient pedagogy for many disciplines, especially engineering education.  ...  The authors developed an online laboratory environment to apply PBL with Knowledge-Graph (KG) based guidance for hands-on labs in cybersecurity training.Learners are provided access to a virtual lab environment  ...  with KG guidance that mainly focuses on creating a cybersecurity simulation environment, completing the group project practice, and supporting the learning experience.  ... 
doi:10.37965/jait.2022.0066 fatcat:srvz7dykfnayfomhxnpjg6e4qi

KG-BERT: BERT for Knowledge Graph Completion [article]

Liang Yao, Chengsheng Mao, Yuan Luo
2019 arXiv   pre-print
In this work, we propose to use pre-trained language models for knowledge graph completion.  ...  Knowledge graphs are important resources for many artificial intelligence tasks but often suffer from incompleteness.  ...  Figure 5 illustrates attention patterns of KG-BERT(b). The triple (20th century, /time/event/includes event, World War II) from FB15K is taken as input.  ... 
arXiv:1909.03193v2 fatcat:paxbpkgmkva6rfd7fzesxj4dxy

Hyperplane-based time-aware knowledge graph embedding for temporal knowledge graph completion

Peng He, Gang Zhou, Hongbo Liu, Yi Xia, Ling Wang
2022 Journal of Intelligent & Fuzzy Systems  
In this paper, we propose a new hyperplane-based time-aware KG embedding model for temporal KG completion.  ...  Knowledge Graph (KG) embedding approaches have been proved effective to infer new facts for a KG based on the existing ones–a problem known as KG completion.  ...  standard benchmarks for temporal KG completion.  ... 
doi:10.3233/jifs-211950 fatcat:bxe4yz2mnfaohbk56g4rpbxhki

A new approach to understanding the molecular mechanisms through which estrogens affect cognition

Karyn M. Frick, Stephanie M. Fernandez, Lauren L. Harburger
2010 Biochimica et Biophysica Acta - General Subjects  
In this review, we propose a new approach to study hormones and memory, where the systematic blocking of cellular events can reveal which such events are necessary for hormones to influence memory consolidation  ...  Because this work does not permit causal relationships to be identified, very little is known about the specific molecules and cellular events through which hormones affect cognitive function.  ...  Thus far, this approach has provided important insights into the cellular events in the dorsal hippocampus that are critical for acute E 2 treatments to enhance one type of hippocampal memory, object recognition  ... 
doi:10.1016/j.bbagen.2009.11.004 pmid:19913600 pmcid:PMC2888644 fatcat:qzh7vwmpcjgilpqc73qtgdjgma
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