# Learning to extract symbolic knowledge from the World Wide Web

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/learning-to-extract-symbolic-knowledge-from-the-world-wide-web/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mark Craven,Dan DiPasquo,Dayne Freitag,Andrew McCallum,T. M. Mitchell,Kamal Nigam,Seán Slattery |
| Citations | 679 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2167044614 |
| Type | article |
| Year | 1998 |

## Paper authors

- [Mark Craven](https://scholariq.org/researchers/mark-craven/)

## 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/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Web Data Mining and Analysis](https://scholariq.org/topics/web-data-mining-and-analysis/)

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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.