Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914642185420800 |
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| author | Gohsen, Marcel Stein, Benno |
| author_facet | Gohsen, Marcel Stein, Benno |
| contents | Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. Although few domain-specific knowledge graphs exist (e.g., Pubmed for medicine), developing specialized retrieval applications for many domains still requires constructing knowledge graphs from scratch. To facilitate knowledge graph construction, we introduce WAKA: a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_07683 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language Gohsen, Marcel Stein, Benno Computation and Language Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. Although few domain-specific knowledge graphs exist (e.g., Pubmed for medicine), developing specialized retrieval applications for many domains still requires constructing knowledge graphs from scratch. To facilitate knowledge graph construction, we introduce WAKA: a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language. |
| title | Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2401.07683 |