TY  - CHAP
N2  - Europeana is a long-term project funded by the European Commission with the goal of making Europe?s cultural and scientific heritage accessible to the public. Since 2008, about 1500 institutions have contributed to Europeana, enabling people to explore the digital resources of Europe?s museums, libraries and archives. The huge amount of collected multi-lingual multi-media data is made available today through the Europeana portal, a search engine allowing users to explore such content through textual queries. One of the most important techniques for enhancing users search experience in large information spaces, is the exploitation of the knowledge contained in query logs. In this paper we present a characterization of the Europeana query log, showing statistics on common behavioral patterns of the Europeana users. Our analysis highlights some significative differences between the Europeana query log and the historical data collected by general purpose Web Search Engine logs. In particular, we find out that both query and search session distributions show different behaviors. Finally, we use this information for designing a query recommendation technique having the goal of enhancing the functionality of the Europeana portal.
SP  - 384
T3  - Lecture Notes in Computer Science
PB  - Springer
SN  - 0302-9743
A1  - Ceccarelli, Diego
A1  - Gordea, Sergiu
A1  - Lucchese, Claudio
A1  - Nardini, Franco Maria
A1  - Tolomei, Gabriele
UR  - http://dx.doi.org/10.1007/978-3-642-24469-8_39
Y1  - 2011///
TI  - Improving Europeana Search Experience Using Query Logs
AV  - none
EP  - 395
T2  - Research and Advanced Technology for Digital Libraries
ID  - eprints1453
ER  -