Focused Retrieval and Evaluation [electronic resource] :8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009, Brisbane, Australia, December 7-9, 2009, Revised and Selected Papers /
Contributor(s): Geva, Shlomo [editor.] | Kamps, Jaap [editor.] | Trotman, Andrew [editor.] | SpringerLink (Online service).Material type: BookSeries: Lecture Notes in Computer Science: 6203Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.Description: XII, 466 p. 59 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642145568.Subject(s): Computer science | Data structures (Computer science) | Database management | Data mining | Information storage and retrieval | Computer Science | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Database Management | Information Systems Applications (incl. Internet) | Data Storage Representation | Data StructuresOnline resources: Click here to access online
Invited -- Is There Something Quantum-Like about the Human Mental Lexicon? -- Supporting for Real-World Tasks: Producing Summaries of Scientific Articles Tailored to the Citation Context -- Semantic Document Processing Using Wikipedia as a Knowledge Base -- Ad Hoc Track -- Overview of the INEX 2009 Ad Hoc Track -- Analysis of the INEX 2009 Ad Hoc Track Results -- ENSM-SE at INEX 2009 : Scoring with Proximity and Semantic Tag Information -- LIP6 at INEX’09: OWPC for Ad Hoc Track -- A Methodology for Producing Improved Focused Elements -- ListBM: A Learning-to-Rank Method for XML Keyword Search -- UJM at INEX 2009 Ad Hoc Track -- Language Models for XML Element Retrieval -- Use of Language Model, Phrases and Wikipedia Forward Links for INEX 2009 -- Parameter Tuning in Pivoted Normalization for XML Retrieval: ISI@INEX09 Adhoc Focused Task -- Combining Language Models with NLP and Interactive Query Expansion -- Exploiting Semantic Tags in XML Retrieval -- Book Track -- Overview of the INEX 2009 Book Track -- XRCE Participation to the 2009 Book Structure Task -- The Book Structure Extraction Competition with the Resurgence Software at Caen University -- Ranking and Fusion Approaches for XML Book Retrieval -- OUC’s Participation in the 2009 INEX Book Track -- Efficiency Track -- Overview of the INEX 2009 Efficiency Track -- Index Tuning for Efficient Proximity-Enhanced Query Processing -- TopX 2.0 at the INEX 2009 Ad-Hoc and Efficiency Tracks -- Fast and Effective Focused Retrieval -- Achieving High Precisions with Peer-to-Peer Is Possible! -- Entity Ranking Track -- Overview of the INEX 2009 Entity Ranking Track -- Combining Term-Based and Category-Based Representations for Entity Search -- Focused Search in Books and Wikipedia: Categories, Links and Relevance Feedback -- A Recursive Approach to Entity Ranking and List Completion Using Entity Determining Terms, Qualifiers and Prominent n-Grams -- Interactive Track -- Overview of the INEX 2009 Interactive Track -- Link the Wiki Track -- Overview of the INEX 2009 Link the Wiki Track -- An Exploration of Learning to Link with Wikipedia: Features, Methods and Training Collection -- University of Waterloo at INEX 2009: Ad Hoc, Book, Entity Ranking, and Link-the-Wiki Tracks -- A Machine Learning Approach to Link Prediction for Interlinked Documents -- Question Answering Track -- Overview of the 2009 QA Track: Towards a Common Task for QA, Focused IR and Automatic Summarization Systems -- XML Mining Track -- Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents -- Exploiting Index Pruning Methods for Clustering XML Collections -- Multi-label Wikipedia Classification with Textual and Link Features -- Link-Based Text Classification Using Bayesian Networks -- Clustering with Random Indexing K-tree and XML Structure -- Utilising Semantic Tags in XML Clustering -- UJM at INEX 2009 XML Mining Track -- BUAP: Performance of K-Star at the INEX’09 Clustering Task -- Extended VSM for XML Document Classification Using Frequent Subtrees -- Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems.