Semantic Data Extraction. (2015)

• Record Type: Journal Article
• Authors: Jánosi-Rancz, Katalin Tünde; Lajos, Árpád
• Is Part Of: Procedia technology. Volume 19(2015)
• Page Start: 827
• Page End: 834
• Publication Date: 2015
• Subjects: Semantic search -- Data Extraction -- Information Extraction.; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2015.02.119
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: Data extractors are generally difficult to maintain. To simplify the difficult tasks of integrating new data sources and of handling structural changes within existing data sources, we have implemented a new approach called RK . RK is a tool which serves as a guide for extraction purposes; the semantic tree generated by the semantic rules (used as input), describes a pattern that represents the structure of the data source. Our system supports data extraction from hierarchical-structured data sources. Results of experiments using the RK tool have proved the feasibility of our approach by enhancing extraction in terms of precision and speed.