Using Document Indexers for Faceted Search in Dataspaces

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

Integrated Faceted Browser and Direct Search to Enhance Information Retrieval in Text-Based Digital Libraries

Browsing and searching are two prominent paradigms in information retrieval. In current digital library implementations, exploratory browsing is sometimes not available as an option. When offered, it is commonly presented as an alphabetical listing of chosen categories depending on the scope of the digital collections. In addition, users have to switch between different information spaces for browsing and searching. This research proposes an information retrieval paradigm of integrated faceted browser and direct search interfaces for text-based digital libraries. Experimental results show that compared to a conventional alphabetical browser, the faceted browser can significantly improve the effectiveness (by 30.8%, p = 0.015) and efficiency (by 11.3%, p = 0.001) of information retrieval. Also, compared to un-integrated alphabetical browser with direct search interfaces, the integrated faceted browser with direct search interfaces can significantly improve the effectiveness of information retrieval (by 35.7%, p = 0.03) and bring users greater satisfaction (by 34.8%, p \u3c 0.03) with the process