Papers with Code 아카이브
Metadata quality
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This task consists of the automatic assessment of the quality of the metadata of an information system.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Automated Archival Descriptions with Federated Intelligence of LLMs
AI-Driven Frameworks for Enhancing Data Quality in Big Data Ecosystems: Error_Detection, Correction, and Metadata Integration
Framework to Automatically Determine the Quality of Open Data Catalogs
MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries
Open Data and the Status Quo -- A Fine-Grained Evaluation Framework for Open Data Quality and an Analysis of Open Data portals in Germany
Improving Editorial Workflow and Metadata Quality at Springer Nature
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.