# Solution knowledge mining and recommendation for quality problem-solving

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/solution-knowledge-mining-and-recommendation-for-quality-problem-solving/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhaoguang Xu,Yanzhong Dang |
| Citations | 16 |
| DOI | 10.1016/j.cie.2021.107313 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3155142176 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Zhaoguang Xu](https://scholariq.org/researchers/zhaoguang-xu/)

## Paper journal

- [Computers & Industrial Engineering](https://scholariq.org/journals/computers-and-industrial-engineering/)

## Paper primary topic

- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)

## Paper topics

- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)
- [AI-based Problem Solving and Planning](https://scholariq.org/topics/ai-based-problem-solving-and-planning/)
- [Software Engineering Techniques and Practices](https://scholariq.org/topics/software-engineering-techniques-and-practices/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.