Using Document Indexers for Faceted Search in Dataspaces

• Published in: Journal of international technology and information management Vol. 23; no. 3; p. 173
• Main Authors: Lee, Hsun-Ming, Shah, Jaymeen, Long, Ju
• Format: Journal Article
• Language: English
• Published: San Bernadino International Information Management Association 01.03.2014
• Subjects: Engineering research; Enterprise search; Flamenco; Indexing; Information retrieval; Information storage and retrieval; Interfaces; Keywords; Metadata; Methods; Ontology; Queries; Search strategies; Search theory; Semantic web; Studies; Subject indexing; User experience; User satisfaction
• ISSN: 1941-6679; 1543-5962; 1941-6679
• DOI: 10.58729/1941-6679.1081

Efficient information retrieval is essential to enrich user experience when searching for documents in dataspaces. With the continued growth in the volume and complexity of documents, the efficient information retrieval for searches has become increasingly challenging. To improve users' search experience, faceted search combines direct keyword search methods with faceted browsing using a predefined set of categories (facets). This paper studies a faceted search approach that integrates dynamic facets generation with search. To further enhance the faceted search, alternative indexers based on pre-defined ontology for data repositories within dataspaces are evaluated in terms of execution time and data size. Experimental results suggest that combining the proposed faceted search with appropriate indexers improves search performance enhancing user experience.