Modelling Knowledge Extraction to Make Value in Service Organizations [PDF]
International Journal of Digital Content ManagementPurpose: Considering the development of technology and the use of artificial intelligence in the process of knowledge management in the service sector as well as intelligent knowledge extraction, this study aims to model an intelligent knowledge ...
Mila Malekolkalami +3 more
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Identifying Essential Components Affecting Intelligent Knowledge Extraction in Organizations: A Meta-Synthesis [PDF]
علوم و فنون مدیریت اطلاعات, 2023 Purpose: The importance of smartening in industrial business processes has increased significantly in recent years. On the other hand, the importance of knowledge as a competitive advantage continues growing.
Mila Malekolkalami +3 more
doaj +1 more source
Extracting ontological knowledge from Java source code using Hidden Markov Models
Open Computer Science, 2019 Ontologies have become a key element since many decades in information systems such as in epidemiological surveillance domain. Building domain ontologies requires the access to domain knowledge owned by domain experts or contained in knowledge sources ...
Jiomekong Azanzi +2 more
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Large-Scale Twitter Mining for Extracting the Psychological Impacts of COVID-19
International Journal of Information and Communication Technology Research, 2022 The outbreak of the COVID-19 in 2020 and lack of an effective cure caused psychological problems among humans. This has been reflected widely on social media.
Hamed Vahdat-Nejad +8 more
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A Novel Patent Knowledge Extraction Method for Innovative Design
IEEE Access, 2023 As an important source of inspiration, the great number of patent documents provides designers with valuable knowledge of design rationale (DR), including issues, intent, pros and cons of the solutions.
Gaofeng Yue +3 more
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CoRR, 2016 A constantly growing amount of information is available through the web. Unfortunately, extracting useful content from this massive amount of data still remains an open issue. The lack of standard data models and structures forces developers to create adhoc solutions from the scratch.
Juan Manuel Tirado +3 more
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Corrosion Rate Prediction with artificial Neural Network Case: Crude Oil Distillation Overhead Systems [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2006 This paper uses neural network to predict corrosion rate. Corrosion can not modeled easily, because of wide range of causes either known or unknown.
Mahmood Alborzi, Seyed Amir Reza Abtahi
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A real-time decision support system for bridge management based on the rules generalized by CART decision tree and SMO algorithms [PDF]
AUT Journal of Mathematics and Computing, 2020 Under dynamic conditions on bridges, we need a real-time management. To this end, this paper presents a rule-based decision support system in which the necessary rules are extracted from simulation results made by Aimsun traffic micro-simulation software.
Shadi Abpeykar, Mehdi Ghatee
doaj +1 more source
Construction and application of knowledge graph for coal mine equipment maintenance
Gong-kuang zidonghua, 2021 Using big data management system to manage coal mine equipment maintenance information lacks the ability to express coal mine equipment maintenance knowledge, has not formed a relatively complete coal mine equipment maintenance knowledge management ...
CAO Xiangang +4 more
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Knowledge Extraction for Question Titling [PDF]
, 2011 This article describes the work performed over the database of questions belonging to the different opinion polls carried during the last 50 years in Spain. Approximately half of the questions are provided with a title while the other half remain untitled.
Gallardo Pérez, Carolina +1 more
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