An element-index is a crucial mechanism for supporting content-only (CO) queries over XML collections. A full element-index that indexes each element along with the content of its descendants involves a high redundancy and reduces query processing efficiency. A direct index, on the other hand, only indexes the content that is directly under each element and disregards the descendants. This results in a smaller index, but possibly in return to some reduction in system effectiveness. In this paper, we propose using static index pruning techniques for obtaining more compact index files that can still result in comparable retrieval performance to that of a full index. We also compare the retrieval performance of these pruning based approaches to some other strategies that make use of a direct element-index. Our experiments conducted along with the lines of INEX evaluation framework reveal that pruned index files yield comparable to or even better retrieval performance than the full index and direct index, for several tasks in the ad hoc track. © 2010 Springer-Verlag Berlin Heidelberg.

Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023 presents the latest research and developments in the field of information retrieval. This conference, organized by Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, and Annalina Caputo, brings together experts from various institutions including UvA - Universiteit van Amsterdam, MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble], Scuola Universitaria Professionale della Svizzera italiana, UCPH - University of Copenhagen, Université de Tsukuba, DCU - Dublin City University, and UR - Universität Regensburg - University of Regensburg. The proceedings, published in Lecture Notes in Computer Science by Springer Nature Switzerland, cover a wide range of topics within the domain of information retrieval, contributing to the ongoing advancements in this field.