Learning collection fusion strategies
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Combining textual and visual features for image retrieval
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Graph-based semantic annotation for enriching educational content with linked data
Knowledge-Based Systems
| Hi-index | 12.05 |
The main goal of the paper is to describe a distributed information retrieval model deployed in order to enable the different functionalities needed for the enrichment of a document. Enriching a document here means finding, in a distributed environment, most of the documents related to it. Moreover, the environment is in a context in which documents are news, which may arrive to the system at any time, and the response time is critical. We first define the architecture to be deployed, designed with the aim of testing the effect of different combination approaches for selecting and ranking a set of documents in a continuously changing environment. Then we discuss the different techniques that can be used in the approach. Finally, we describe a prototype version of the developed software, previously settled in EU project NEDINE (e-Content 2225), using Ciao and taking advantage of its features for the development of distributed systems, using also Java for interfacing the system.