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An ontology learning system for customer needs representation in product development

https://doi.org/10.1007/s00170-012-4496-2
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1 of the 29 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-21): 10.1109/icemms.2011.6015830 (notice 2011-09-08).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/asi.21231openalex-snapshot
CRCTOL: A semantic‐based domain ontology learning system
inferredcites →https://doi.org/10.1007/11431855_28openalex-snapshot
An Ontological Approach for Eliciting and Understanding Needs in e-Services
inferredcites →https://doi.org/10.1007/11492870_19openalex-snapshot
Ontology-Based Users and Requests Clustering in Customer Service Management System
inferredcites →https://doi.org/10.1007/978-3-540-25956-5_3openalex-snapshot
A Protégé Plug-In for Ontology Extraction from Text Based on Linguistic Analysis
inferredcites →https://doi.org/10.1007/978-3-7908-1772-0openalex-snapshot
Intelligent Exploration of the Web
inferredcites →https://doi.org/10.1007/978-3-7908-1772-0_21openalex-snapshot
Bootstrapping an Ontology-Based Information Extraction System
inferredcites →https://doi.org/10.1007/978-94-017-1491-4_6openalex-snapshot
A Semantic Network of English: The Mother of All WordNets
inferredcites →https://doi.org/10.1007/s00170-005-0177-8openalex-snapshot
Understanding customer satisfaction in product customization
inferredcites →https://doi.org/10.1007/s00170-005-2552-xopenalex-snapshot
A strategy for integrating product conceptualization and bid preparation
inferredcites →https://doi.org/10.1007/s00170-009-2282-6openalex-snapshot
Customer needs as moving targets of product development: a review
inferredcites →https://doi.org/10.1007/s00170-009-2296-0openalex-snapshot
Knowledge-intensive support for product design with an ontology-based approach
inferredcites →https://doi.org/10.1007/s00170-009-2463-3openalex-snapshot
Research on ontology-based integration of product knowledge for collaborative manufacturing
inferredcites →https://doi.org/10.1007/s001700200207openalex-snapshot
Conceptual Design Using Evolution Strategy
inferredcites →https://doi.org/10.1007/s10726-006-9065-3openalex-snapshot
Constraint-based Ontology Induction from Online Customer Reviews
inferredcites →https://doi.org/10.1016/j.aei.2010.07.007openalex-snapshot
Ontology-based customer preference modeling for concept generation
inferredcites →https://doi.org/10.1016/j.eswa.2005.07.020openalex-snapshot
A Kansei mining system for affective design
inferredcites →https://doi.org/10.1016/j.eswa.2007.09.041openalex-snapshot
A dominance-based rough set approach to Kansei Engineering in product development
inferredcites →https://doi.org/10.1016/s0010-4485(01)00050-1openalex-snapshot
Requirements management: a representation scheme for product specifications
inferredcites →https://doi.org/10.1017/s0890060407070187openalex-snapshot
Linguistic support for concept selection decisions
inferredcites →https://doi.org/10.1023/a:1001181927857openalex-snapshot
A Semantic Network of English: The Mother of All WordNets
inferredcites →https://doi.org/10.1108/08876040210443391openalex-snapshot
A customer‐oriented new service development process
inferredcites →https://doi.org/10.1109/icemms.2011.6015830openalex-snapshot
Notice of Retraction Automated ontology-based customer needs translation and representation
inferredcites →https://doi.org/10.1111/1468-0394.00106openalex-snapshot
A knowledge sorting process for a product design expert system
inferredcites →https://doi.org/10.1111/j.1468-0394.1995.tb00271.xopenalex-snapshot
Laddering
inferredcites →https://doi.org/10.1177/1063293x06068357openalex-snapshot
Customer Requirement Management in Product Development: A Review of Research Issues
inferredcites →https://doi.org/10.1177/1063293x9600400307openalex-snapshot
A Requirement Ontology for Engineering Design
inferredcites →https://doi.org/10.3115/1073445.1073478openalex-snapshot
Feature-rich part-of-speech tagging with a cyclic dependency network
inferredcites →https://doi.org/10.3115/1220175.1220230openalex-snapshot
Learning accurate, compact, and interpretable tree annotation
inferredcites →https://doi.org/10.4337/9781784718152.00017openalex-snapshot
PRODUCT DESIGN AND DEVELOPMENT

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4676637openalex-extracted
inferred← citeshttps://doi.org/10.2139/ssrn.4680264openalex-extracted
A Knowledge Graph-Aided Automated Requirement Modelling Approach for Complex Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-61845-6_2openalex-snapshot
Mining Relationship Between User Purposes and Product Features Towards Purpose-Oriented Recommendation
inferred← citeshttps://doi.org/10.1007/s00170-017-0896-7openalex-snapshot
Multi-objective coupling vehicle mass target setting method
inferred← citeshttps://doi.org/10.1007/s00170-018-2099-2openalex-snapshot
An ontology-based product design framework for manufacturability verification and knowledge reuse
inferred← citeshttps://doi.org/10.1007/s00170-019-04772-1openalex-snapshot
Learning domain ontologies from engineering documents for manufacturing knowledge reuse by a biologically inspired approach
inferred← citeshttps://doi.org/10.1007/s40747-023-00986-9openalex-snapshot
Developing explicit customer preference models using fuzzy regression with nonlinear structure
inferred← citeshttps://doi.org/10.1016/j.aei.2019.100969openalex-snapshot
Dynamic modelling of customer preferences for product design using DENFIS and opinion mining
inferred← citeshttps://doi.org/10.1016/j.aei.2019.100983openalex-snapshot
A novel data-driven graph-based requirement elicitation framework in the smart product-service system context
inferred← citeshttps://doi.org/10.1016/j.aei.2020.101148openalex-snapshot
Ontology-based requirement verification for complex systems
inferred← citeshttps://doi.org/10.1016/j.aei.2022.101793openalex-snapshot
Implications of data-driven product design: From information age towards intelligence age
inferred← citeshttps://doi.org/10.1016/j.buildenv.2024.111489openalex-snapshot
OntoAgency: An agency-based ontology for tracing control, ownership and decision-making in smart buildings
inferred← citeshttps://doi.org/10.1017/dsj.2024.30openalex-snapshot
Bridging the gap between requirements engineering and systems architecting: the Elephant Specification Language
inferred← citeshttps://doi.org/10.1017/s0890060424000209openalex-snapshot
Developing a data analytics toolbox for data-driven product planning: a review and survey methodology
inferred← citeshttps://doi.org/10.1080/09544828.2018.1463514openalex-snapshot
A product affective properties identification approach based on web mining in a crowdsourcing environment
inferred← citeshttps://doi.org/10.1080/09544828.2018.1475629openalex-snapshot
A multi-objective PSO approach of mining association rules for affective design based on online customer reviews
inferred← citeshttps://doi.org/10.1109/icphys.2019.8780274openalex-snapshot
Extending Lead Users to Average User Innovation: A Novel Segmentation Framework Based on Users' Innovativeness
inferred← citeshttps://doi.org/10.1109/tfuzz.2022.3153143openalex-snapshot
Nonlinear Time Series Fuzzy Regression for Developing Explainable Consumer Preferences’ Models Based on Online Comments
inferred← citeshttps://doi.org/10.1109/tii.2021.3067141openalex-snapshot
Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications
inferred← citeshttps://doi.org/10.1155/2018/8192819openalex-snapshot
A Novel Approach Based on Kano Model, Interval 2-Tuple Linguistic Representation Model, and Prospect Theory for Apperceiving Key Customer Requirements
inferred← citeshttps://doi.org/10.1155/2019/9687236openalex-snapshot
Bayesian Network Approach to Customer Requirements to Customized Product Model
inferred← citeshttps://doi.org/10.1155/2023/6880172openalex-snapshot
Developing Nonlinear Customer Preferences Models for Product Design Using Opining Mining and Multiobjective PSO‐Based ANFIS Approach
inferred← citeshttps://doi.org/10.1177/1687814017704412openalex-snapshot
Customer requirement acquisition system and requirement expression guidance based on ant colony optimization
inferred← citeshttps://doi.org/10.1587/transinf.2017dap0013openalex-snapshot
Purpose-Feature Relationship Mining from Online Reviews towards Purpose-Oriented Recommendation
inferred← citeshttps://doi.org/10.3233/jifs-213057openalex-snapshot
Model variational consumer preferences based on online reviews using sentiment analysis and PSO-based DENFIS approaches
inferred← citeshttps://doi.org/10.32657/10356/146724openalex-snapshot
Explainable Q&A system based on domain-specific knowledge graph
inferred← citeshttps://doi.org/10.32657/10356/152624openalex-snapshot
A graph-based methodology for context-aware smart product-service system concept development
inferred← citeshttps://doi.org/10.32657/10356/54873openalex-snapshot
Customer needs management for product innovation : segmentation modeling and ontology-based approaches
inferred← citeshttps://doi.org/10.3390/app13053002openalex-snapshot
AI4PD—Towards a Standardized Interconnection of Artificial Intelligence Methods with Product Development Processes
inferred← citeshttps://doi.org/10.3390/ijerph15071446openalex-snapshot
Novel Method for Perceiving Key Requirements of Customer Collaboration Low-Carbon Product Design
inferred← citeshttps://doi.org/10.3390/math11214559openalex-snapshot
A Multi-Objective Optimization-Algorithm-Based ANFIS Approach for Modeling Dynamic Customer Preferences with Explicit Nonlinearity
inferred← citeshttps://doi.org/10.3390/systems13100888openalex-snapshot
A Chaos-Driven Fuzzy Neural Approach for Modeling Customer Preferences with Self-Explanatory Nonlinearity
inferred← citeshttps://doi.org/10.4018/978-1-7998-1204-3.ch053openalex-snapshot
Knowledge Acquisition Through Ontologies from Medical Natural Language Texts
inferred← citeshttps://doi.org/10.4018/jitr.2017100104openalex-snapshot
Knowledge Acquisition Through Ontologies from Medical Natural Language Texts
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