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Jinhui Guo, Xiaoli Zhang, Kun Liang and Guoqiang Zhang
In recent years, the emergence of large-scale language models, such as ChatGPT, has presented significant challenges to research on knowledge graphs and knowledge-based reasoning. As a result, the direction of research on knowledge reasoning has shifted....
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Zhihao Zhou, Tianwei Yue, Chen Liang, Xiaoyu Bai, Dachi Chen, Congrui Hetang and Wenping Wang
Harnessing commonsense knowledge poses a significant challenge for machine comprehension systems. This paper primarily focuses on incorporating a specific subset of commonsense knowledge, namely, script knowledge. Script knowledge is about sequences of a...
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Yong Yu, Shudong Chen, Rong Du, Da Tong, Hao Xu and Shuai Chen
Temporal knowledge graphs play an increasingly prominent role in scenarios such as social networks, finance, and smart cities. As such, research on temporal knowledge graphs continues to deepen. In particular, research on temporal knowledge graph reasoni...
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Hongmei Tang, Wenzhong Tang, Ruichen Li, Yanyang Wang, Shuai Wang and Lihong Wang
Knowledge graph (KG) reasoning improves the perception ability of graph structure features, improving model accuracy and enhancing model learning and reasoning capabilities. This paper proposes a new GraphDIVA model based on the variational reasoning div...
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Tichun Wang, Hao Li and Xianwei Wang
This study explores the extension configuration methods of complex product conceptual design, seeking to improve the product design efficiency and design quality. The paper firstly reviews the literature on element representation models of multi-type des...
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Xin Tian and Yuan Meng
The judicious configuration of predicates is a crucial but often overlooked aspect in the field of knowledge graphs. While previous research has primarily focused on the precision of triples in assessing knowledge graph quality, the rationality of predic...
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Xin Tian and Yuan Meng
Multi-relational graph neural networks (GNNs) have found widespread application in tasks involving enhancing knowledge representation and knowledge graph (KG) reasoning. However, existing multi-relational GNNs still face limitations in modeling the excha...
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Zongfeng Qu, Zhitong Yang, Bo Wang and Qinghua Hu
This article proposes a reasoning-based dialog agent to facilitate dialog goal accomplishment through natural language interaction. The model can be applied in the conversation recommendation, topic guidance, psychotherapy and education domains.
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Elena Mastria, Francesco Pacenza, Jessica Zangari, Francesco Calimeri, Simona Perri and Giorgio Terracina
Stream Reasoning (SR) focuses on developing advanced approaches for applying inference to dynamic data streams; it has become increasingly relevant in various application scenarios such as IoT, Smart Cities, Emergency Management, and Healthcare, despite ...
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Osiris Juárez, Salvador Godoy-Calderon and Hiram Calvo
This work proposes a working set of rules for translating English sentences into the formal language of non-axiomatic logic (NAL). The proposed translation takes advantage of several linguistic tools for pre-processing and can be used for commonsense rea...
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Bikram Pratim Bhuyan, Vaishnavi Jaiswal and Amar Ramdane Cherif
Investors at well-known firms are increasingly becoming interested in stock forecasting as they seek more effective methods to predict market behavior using behavioral finance tools. Accordingly, studies aimed at predicting stock performance are gaining ...
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Huajie Wang and Yinglin Wang
The natural language model BERT uses a large-scale unsupervised corpus to accumulate rich linguistic knowledge during its pretraining stage, and then, the information is fine-tuned for specific downstream tasks, which greatly improves the understanding c...
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Shubin Zhong, Yuanqiao Wen, Yamin Huang, Xiaodong Cheng and Liang Huang
Formal expression of ship behavior is the basis for developing autonomous navigation systems, which supports the scene recognition, the intention inference, and the rule-compliant actions of the systems. The Convention on the International Regulations fo...
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Djamel Saba, Abdelkader Hadidi, Omar Cheikhrouhou, Monia Hamdi and Habib Hamam
With the sudden emergence of many dangerous viruses in recent years and with their rapid transmission and danger to individuals, most countries have adopted several strategies, such as closure and social distancing, to control the spread of the virus in ...
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Cheng?en Li, Yunchao Tang, Xiangjun Zou, Po Zhang, Junqiang Lin, Guoping Lian and Yaoqiang Pan
Agricultural machinery intelligence is the inevitable direction of agricultural machinery design, and the systems in these designs are important tools. In this paper, to address the problem of low processing power of traditional agricultural machinery de...
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Tajana Ban Kirigin, Sanda Bujacic Babic and Benedikt Perak
We present a graph-based method for the lexical task of labeling senses of polysemous lexemes. The labeling task aims at generalizing sense features of a lexical item in a corpus using more abstract concepts. In this method, a coordination dependency-bas...
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Josué Padilla-Cuevas, José A. Reyes-Ortiz and Maricela Bravo
An Ambient Intelligence responds to user requests based on several contexts. A relevant context is related to what has happened in the ambient; therefore, it focuses a primordial interest on events. These involve information about time, space, or people,...
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Bilal Koteich, Éric Saux and Wissame Laddada
Maps have long been seen as a single cartographic product for different uses, with the user having to adapt their interpretation to his or her own needs. On-demand mapping reverses this paradigm in that it is the map that adapts to the user?s needs and c...
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Rafael Peñaloza
Logic-based knowledge representation is one of the main building blocks of (logic-based) artificial intelligence. While most successful knowledge representation languages are based on classical logic, realistic intelligent applications need to handle unc...
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Chamseddine Barki, Hanene Boussi Rahmouni and Salam Labidi
Predicting potential cancer treatment side effects at time of prescription could decrease potential health risks and achieve better patient satisfaction. This paper presents a new approach, founded on evidence-based medical knowledge, using as much infor...
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