Data Processing: An Approach Based On Indexing
Sura I. Mohammed Ali · 2024
The way things operate on the web has shifted because of advancements, in the Semantic Web and linked data. The use of the Standard Resource Description Framework (RDF) is widespread for storing data. Since RDF follows a graph based data model organizing and accessing information poses challenges. This necessitates the development of large scale systems that offer ways to search and retrieve information for use by both humans and machines. Our proposed approach seeks to address these issues by introducing an indexing engine tailor made for RDF structures. To enhance data retrieval speed and query efficiency this research introduces a technique for indexing. By creating indexes that capture relationships, in RDF graphs quick and targeted query results can be achieved. The system streamlines the search process by structuring RDF data elements through a sequence based indexing approach. The approach also examined how semantic knowledge can be integrated into query processing to improve it and enable more sophisticated and context-aware information retrieval. The proposed subgraph-based indexing and query processing strategy is effective as evidenced by experimental results showing higher accuracy and speed compared to traditional techniques. This project addresses challenges, in managing RDF data. Sets the stage for advancing graph based information retrieval systems and semantic web technologies in the future