Ad-hoc object retrieval in the web of data
Proceedings of the 19th international conference on World wide web
A framework for BM25F-based XML retrieval
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
ACM SIGIR Forum
Automatically weighting tags in XML collection
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
University of waterloo at INEX 2009: ad hoc, book, entity ranking, and link-the-wiki tracks
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
Evaluation effort, reliability and reusability in XML retrieval
Journal of the American Society for Information Science and Technology
Repeatable and reliable search system evaluation using crowdsourcing
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Relaxed global term weights for XML element search
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
Focus and element length for book and wikipedia retrieval
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
DCU and ISI@INEX 2010: adhoc and data-centric tracks
INEX'10 Proceedings of the 9th international conference on Initiative for the evaluation of XML retrieval: comparative evaluation of focused retrieval
Effective and efficient entity search in RDF data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
XML retrieval using pruned element-index files
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Multi word term queries for focused information retrieval
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
On the modeling of entities for ad-hoc entity search in the web of data
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Exploiting the category structure of Wikipedia for entity ranking
Artificial Intelligence
Repeatable and reliable semantic search evaluation
Web Semantics: Science, Services and Agents on the World Wide Web
Hi-index | 0.00 |
This paper gives an overview of the INEX 2008 Ad Hoc Track. The main goals of the Ad Hoc Track were two-fold. The first goal was to investigate the value of the internal document structure (as provided by the XML mark-up) for retrieving relevant information. This is a continuation of INEX 2007 and, for this reason, the retrieval results are liberalized to arbitrary passages and measures were chosen to fairly compare systems retrieving elements, ranges of elements, and arbitrary passages. The second goal was to compare focused retrieval to article retrieval more directly than in earlier years. For this reason, standard document retrieval rankings have been derived from all runs, and evaluated with standard measures. In addition, a set of queries targeting Wikipedia have been derived from a proxy log, and the runs are also evaluated against the clicked Wikipedia pages. The INEX 2008 Ad Hoc Track featured three tasks: For the Focused Task a ranked-list of non-overlapping results (elements or passages) was needed. For the Relevant in Context Task non-overlapping results (elements or passages) were returned grouped by the article from which they came. For the Best in Context Task a single starting point (element start tag or passage start) for each article was needed. We discuss the results for the three tasks, and examine the relative effectiveness of element and passage retrieval. This is examined in the context of content only (CO, or Keyword) search as well as content and structure (CAS, or structured) search. Finally, we look at the ability of focused retrieval techniques to rank articles, using standard document retrieval techniques, both against the judged topics as well as against queries and clicks from a proxy log.