The Lowell Database Research Self-Assessment

Title: The Lowell Database Research Self-Assessment

Research Question: How can database research improve to better handle the increasing volume and complexity of information?

Methodology: A group of senior database researchers gathered to discuss the current state of database research and identify areas that needed further focus. They considered factors such as new applications, technology trends, and synergies with related fields.

Results: The researchers identified several key areas where database research should focus:

1. Integration of text, data, code, and streams: Researchers should work on developing methods to integrate different types of information more effectively. 2. Fusion of information from heterogeneous data sources: Researchers should find ways to combine data from various sources to provide a more comprehensive view of the information. 3. Reasoning about uncertain data: Researchers should develop techniques to handle data that may contain uncertainty or incomplete information. 4. Unsupervised data mining for interesting correlations: Researchers should explore methods to discover hidden patterns or relationships in data without predefined targets. 5. Information privacy: Researchers should consider how to protect user data and ensure that it is used responsibly. 6. Self-adaptation and repair: Researchers should develop systems that can adapt to changing conditions and repair any issues that arise.

Implications: These findings suggest that database research should evolve to better handle the increasing volume and complexity of information. By focusing on areas such as information integration, fusion, uncertainty reasoning, and data mining, researchers can help improve the way information is stored, organized, and accessed. Additionally, paying attention to factors such as privacy and self-adaptation can ensure that these systems are used responsibly and effectively.

Link to Article: https://arxiv.org/abs/0310006v1 Authors: arXiv ID: 0310006v1