Lorenzo Canova
Government Information Quarterly · 2016
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Lorenzo Canova trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lorenzo Canova's perspective
Ordered by how strongly the researchers Lorenzo Canova trusts endorse each paper. Same corpus, a different order for every researcher.
- Improving Data Warehouse and Business Information Quality
- Data Quality: Concepts, Methodologies and Techniques
- Methodologies for data quality assessment and improvement (CSUR)
- Quality-Driven Query Answering for Integrated Information Systems (Lecture Notes in Computer Science)
- A conceptual framework and belief‐function approach to assessing overall information quality (International Journal of Intelligent Systems)
- Open Government Data: Towards Empirical Analysis of Open Government Data Initiatives
- Data integration: a theoretical perspective (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
- Data Integration under Integrity Constraints (International Conference on Advanced Information Systems Engineering)
- AIMQ: a methodology for information quality assessment (Information Manager (The))
- Data quality assessment (CACM)
Their papers
- Open data quality measurement framework: Definition and application to Open Government Data (2016) — 348 citations