In this paper we propose to integrate Information Extraction and Adaptive Personalization in order to empower information access and Web search experience. We describe the PIE (Per...
Nirmala Pudota, Paolo Casoto, Antonina Dattolo, Pa...
We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback me...
We present a new statistical compression method, which we call Phrase Based Dense Code (PBDC), aimed at compressing large digital libraries. PBDC compresses the text collection to ...
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadat...
Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zh...
Digital libraries and OPACs are offering an enormous collection of information resources which can be accessed through Internet by quite different users thanks to the existence of...