Retrieval activities in a database consisting of heterogeneous collections of structured text
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
A Linguistically Motivated Probabilistic Model of Information Retrieval
ECDL '98 Proceedings of the Second European Conference on Research and Advanced Technology for Digital Libraries
Structured queries in XML retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Score region algebra: building a transparent XML-R database
Proceedings of the 14th ACM international conference on Information and knowledge management
On the history of evaluation in IR
Journal of Information Science
Narrowed extended XPath i (NEXI)
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Succinct summaries of narrative events using social networks
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Linguistically-adapted structural query annotation for digital libraries in the social sciences
LaTeCH '12 Proceedings of the 6th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities
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On-line search requests of cultural heritage (CH) material are often very short and mainly focused on names and dates, while the data provides much more detail and is highly structured, based on classification systems and ontologies. Apparently, typical users make no use of the available information and structure. Expert users such as museum curators have extensive knowledge of the objects in the collection and the classification systems used to describe them, and have complex information needs. In this paper we investigate the impact of exploiting the metadata structure on retrieval effectiveness of complex queries. Our findings are that 1) expert queries require little smoothing as all terms are important for identifying the right objects, 2) the field structure of CH descriptions can help improve early precision, 3) combining free-text retrieval and structured Boolean retrieval leads to significant improvements on both approaches alone. Finally, from analysing the questions send to a museum, we find that non-experts have more complex information needs than what search logs show us, suggesting they can benefit from systems that exploit structure as well.