|
|
|
|
|
Abid Thyab Al Ajeeli
Pág. 84 - 102
Although Knowledge is recognized as a strategic force in organizations, knowledge creation and management is not simply the capture and storage of items of information. It requires the storage and processing of associations through which meaning can be d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jonghyeon Yang, Hanme Jang and Kiyun Yu
In recent years, question answering on knowledge bases (KBQA) has emerged as a promising approach for providing unified, user-friendly access to knowledge bases. Nevertheless, existing KBQA systems struggle to answer spatial-related questions, prompting ...
ver más
|
|
|
|
|
|
|
|
|
|
|
William Henry Collinge and Carlos Osorio-Sandoval
A continuing need to improve health, safety and wellbeing in construction has led to multiple research projects and technological innovations. One such innovation is the Safety Risk Library: a repository of data that functions in BIM environments to assi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tameem Adel and Mark Levene
We investigate the utility of side information in the context of machine learning and, in particular, in supervised neural networks. Side information can be viewed as expert knowledge, additional to the input, that may come from a knowledge base. Unlike ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoyong Zhang, Wei Yue and Wenbin Tang
To enhance the anti-submarine and search capabilities of multiple Unmanned Aerial Vehicle (UAV) groups in complex marine environments, this paper proposes a flexible action-evaluation algorithm known as Knowledge-Driven Soft Actor-Critic (KD-SAC), which ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yujie Qiang, Xuewen Tao, Xiaoqing Gou, Zhihui Lang and Hui Liu
To grasp the current status of network public opinion (NPO) research and explore the knowledge base and hot trends from a quantitative perspective, we retrieved 1385 related papers and conducted a bibliometric mapping analysis on them. Co-occurrence anal...
ver más
|
|
|
|
|
|
|
|
|
|
|
Meng Wu, Tingting Jiang, Chenyang Bu and Bin Zhu
Entity alignment (EA) aims to automatically determine whether an entity pair in different knowledge bases or knowledge graphs refer to the same entity in reality. Inspired by human cognitive mechanisms, we propose a coarse-to-fine entity alignment model ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zaenal Akbar, Hani Febri Mustika, Dwi Setyo Rini, Lindung Parningotan Manik, Ariani Indrawati, Agusdin Dharma Fefirenta and Tutie Djarwaningsih
Capsicum is a genus of flowering plants in the Solanaceae family in which the members are well known to have a high economic value. The Capsicum fruits, which are popularly known as peppers or chili, have been widely used by people worldwide. It serves a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Stefano Marchesin, Giorgio Maria Di Nunzio and Maristella Agosti
In Information Retrieval (IR), the semantic gap represents the mismatch between users? queries and how retrieval models answer to these queries. In this paper, we explore how to use external knowledge resources to enhance bag-of-words representations and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuang Liu, Nannan Tan, Yaqian Ge and Niko Lukac
Question-answering systems based on knowledge graphs are extremely challenging tasks in the field of natural language processing. Most of the existing Chinese Knowledge Base Question Answering(KBQA) can only return the knowledge stored in the knowledge b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenqing Wu, Zhenfang Zhu, Qiang Lu, Dianyuan Zhang and Qiangqiang Guo
Knowledge base question answering (KBQA) aims to analyze the semantics of natural language questions and return accurate answers from the knowledge base (KB). More and more studies have applied knowledge bases to question answering systems, and when usin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Svitlana Shapovalova
Pág. 77 - 85
The subject of research in the article are test tasks to determine the performance of logical inference engines based on rules. The purpose of the work is to create a method of forming a database of rules and a set of data for analyzing the performance o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yinan An, Sifan Liu and Hongzhi Wang
Knowledge base (KB) is an important aspect in artificial intelligence. One significant challenge faced by KB construction is that it contains many noises, which prevent its effective usage. Even though some KB cleansing algorithms have been proposed, the...
ver más
|
|
|
|
|
|
|
|
|
|
|
João Boné, Mariana Dias, João C. Ferreira and Ricardo Ribeiro
This research is aimed at creating and presenting DisKnow, a data extraction system with the capability of filtering and abstracting tweets, to improve community resilience and decision-making in disaster scenarios. Nowadays most people act as human sens...
ver más
|
|
|
|
|
|
|
|
|
|
|
Serhii Vladov, Yurii Shmelov, Liudmyla Pylypenko, Kyrylo Kotliarov, Svitlana Hrybanova, Oksana Husarova
Pág. 44 - 54
The subject matter of the article is TV3-117 aircraft engine and methods for monitoring and diagnosing its technical condition. The goal of the work is development of information and dynamic models for monitoring and diagnosing the technical condition of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Serhii Vladov, Yurii Shmelov, Liudmyla Pylypenko, Kyrylo Kotliarov, Svitlana Hrybanova, Oksana Husarova
Pág. 44 - 54
The subject matter of the article is TV3-117 aircraft engine and methods for monitoring and diagnosing its technical condition. The goal of the work is development of information and dynamic models for monitoring and diagnosing the technical condition of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cun Shen, Tinglei Huang, Xiao Liang, Feng Li and Kun Fu
-
|
|
|
|
|
|
|
|
|
|
|
Qingyao Ai, Vahid Azizi, Xu Chen and Yongfeng Zhang
Providing model-generated explanations in recommender systems is important to user experience. State-of-the-art recommendation algorithms?especially the collaborative filtering (CF)- based approaches with shallow or deep models?usually work with various ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nazakat Ali and Jang-Eui Hong
-
|
|
|
|
|
|