Enhancing the Efficiency and Accuracy of Large-Scale Data Management Through Integrated Approaches in Database Systems and Information Retrieval
Keywords:
Large-scale data management, database systems, information retrieval, integration, query optimization, big data, indexing, accuracy, relevance ranking, scalabilityAbstract
Large-scale data management is a central challenge in modern computing, particularly with the proliferation of big data applications in domains such as healthcare, e-commerce, and scientific research. The integration of advanced database systems with information retrieval (IR) techniques presents a promising avenue to enhance both the efficiency and the accuracy of data processing, indexing, and querying. This paper explores integrated approaches that leverage the strengths of both paradigms to address scalability, relevance ranking, and data heterogeneity. We present a comprehensive review of literature, discuss system architectures, evaluate performance metrics, and propose a unified framework for scalable and accurate data retrieval.
References
Agrawal, S., Chaudhuri, S., Das, G., & Gionis, A. (2002). Automating the design of user interfaces for browsing relational data. SIGMOD.
Balmin, A., Hristidis, V., & Papakonstantinou, Y. (2004). ObjectRank: Authority-based keyword search in databases. VLDB.
Baeza-Yates, R., & Ribeiro-Neto, B. (2011). Modern Information Retrieval: The Concepts and Technology behind Search. Addison-Wesley.
Chaudhuri, S., Das, G., & Narasayya, V. (2006). A robust, optimization-based approach for approximate answering of aggregate queries. SIGMOD.
Fuhr, N., & Großjohann, K. (2001). XIRQL: A query language for information retrieval in XML documents. SIGIR.
Hristidis, V., Gravano, L., & Papakonstantinou, Y. (2002). Efficient IR-style keyword search over relational databases. VLDB.
Jagadish, H. V., Lakshmanan, L. V. S., Srivastava, D., & Thompson, K. (2007). Answering fuzzy queries in relational databases. VLDB.
Meng, W., Yu, C. T., & Liu, K.-L. (2002). Building efficient and effective metasearch engines. ACM Computing Surveys.
Zhang, Z., & Callan, J. (2006). Learning to filter structured documents for relational information retrieval. ECIR.
Zobel, J., & Moffat, A. (2006). Inverted files for text search engines. ACM Computing Surveys.
