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ListOPT: Learning to Optimize for XML Ranking [chapter]

Ning Gao, Zhi-Hong Deng, Hang Yu, Jia-Jian Jiang
2011 Lecture Notes in Computer Science  
The experimental results on the XML dataset of Wikipedia English show that these approaches can be successfully applied to tuning the parameters used in an existing highly cited ranking function BM25.  ...  To solve this defect, we conducted a study on learning-to-optimize, which is to construct a learning model or method for optimizing the free parameters in ranking functions.  ...  In the comparison experiments, Traditional Set stands for a highly used traditional set: k 2 b 0 75; RankNet Tuning stands for the tuning method proposed in [10] ; cosine similarity, Euclidean distance  ... 
doi:10.1007/978-3-642-20847-8_40 fatcat:ztfznrzbkzazrgltweslpq6w24

Query Refinement by Relevance Feedback in an XML Retrieval System [chapter]

Hanglin Pan, Anja Theobald, Ralf Schenkel
2004 Lecture Notes in Computer Science  
We show the comparison between different strategies of rank aggregation, query reweighting and expansion. We also show our approach to refine structural XML queries based on relevance feedback.  ...  We run our method on this data set to show the improvement of average precision and recall using relevance feedback with up to four iterations.  ...  Introduction In recent years, ranked retrieval systems for heterogeneous XML data with both structural search conditions and keyword conditions have been developed for digital libraries, federations of  ... 
doi:10.1007/978-3-540-30464-7_70 fatcat:tnvvqpg2lfe6nmph7ouy5wuui4

Relevance Feedback in XML Retrieval [chapter]

Hanglin Pan
2004 Lecture Notes in Computer Science  
Highly heterogeneous XML data collections that do not have a global schema, as arising, for example, in federations of digital libraries or scientific data repositories, cannot be effectively queried with  ...  In this paper we present a framework for feedback-driven XML query refinement and address several building blocks including reweighting of query conditions and ontology-based query expansion.  ...  At present we simply use a two-dimensional graph layout for showing the XML data of ranked results from XML retrieval engine, plus pop-up menu for relevance feedback.  ... 
doi:10.1007/978-3-540-30192-9_18 fatcat:q4ea6jdd4rcghfks3ryctr634u

The TopX DB&IR engine

Martin Theobald, Ralf Schenkel, Gerhard Weikum
2007 Proceedings of the 2007 ACM SIGMOD international conference on Management of data - SIGMOD '07  
TopX integrates efficient algorithms for top-k-style ranked retrieval with powerful scoring models for text and XML documents, as well as dynamic and selftuning query expansion based on background ontologies  ...  This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and structured data.  ...  Rather the ranked-retrieval paradigm is called for, with relaxable search conditions, various forms of similarity predicates on tags and contents, and quantitative relevance scoring.  ... 
doi:10.1145/1247480.1247635 dblp:conf/sigmod/TheobaldSW07 fatcat:ehiibvqfarh3rkyilvcnmsjr3i

An Exponentiation Method for XML Element Retrieval

Tanakorn Wichaiwong
2014 The Scientific World Journal  
XML data-centric collections require query terms allowing users to specify constraints on the document structure; mapping structure queries and assigning the weight are significant for the set of possibly  ...  XML document is now widely used for modelling and storing structured documents.  ...  On the other hand, it is based on user queries, such as QRX [6] which is based on tree matching model without knowing the exact structure of the data, using the similarity measure of the vector space  ... 
doi:10.1155/2014/404518 pmid:24696643 pmcid:PMC3947718 fatcat:ydofrlhdcrfj7jvq4hvc7iayle


Ho Lam Lau, Wilfred Ng
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
The MRM engine employs only a list of simple XML tagged keywords as a user query for searching XML fragments from a collection of real XML documents.  ...  The demonstration presents an indepth analyses of the effectiveness of adaptive rankers, tailored XML rankers and a spectrum of low level ranking features.  ...  The query results (i.e. a set of XML fragments) are obtained based on the relevance scores which are detailed [4] .  ... 
doi:10.1145/1645953.1646325 dblp:conf/cikm/LauN09 fatcat:xwx6kehg2rea3huiljw3igvxwm

Ranking Clinical Trials Using Elasticsearch

Ajinkya Yogesh Thorve, Haimonti Dutta
2017 Text Retrieval Conference  
This paper presents an approach to solving the problem by first preparing an index for the clinical trial descriptions based on specific tags in the XML files and querying them using Elasticsearch.  ...  Initial results indicate that our approach performed very well for certain kinds of queries -however, more tuning may be required for ensuring generalizable results from the search.  ...  Furthermore tuning of Elasticsearch can be possible once we have the ground truth data available.  ... 
dblp:conf/trec/ThorveD17 fatcat:ya4rfzcxozecrbmug2rarryzom

Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics [chapter]

Joe Tekli, Richard Chbeir, Fernando Ferri, Patrizia Grifoni
2010 Lecture Notes in Computer Science  
In this study, we address the problem of approximate querying and ranked results for GML data and provide a method for GML query evaluation. Our method consists of two main contributions.  ...  Our approach allows the evaluation of both structural and semantic similarities in GML data, enabling the user to tune the querying process according to her needs.  ...  In [23] , the author propose an approach based on tree edit distance for evaluating the similarity between XML query and data trees.  ... 
doi:10.1007/978-3-642-13911-6_2 fatcat:sb5yej2hazh7xeukdqnwvv7vje

Entity Ranking in Wikipedia [article]

Anne-Marie Vercoustre , James A. Thom, Jovan Pehcevski (INRIA Rocquencourt / INRIA Sophia Antipolis)
2007 arXiv   pre-print
Wikipedia offers a number of interesting features for entity identification and ranking that we first introduce.  ...  We then describe the principles and the architecture of our entity ranking system, and introduce our methodology for evaluation.  ...  The Initiative for the Evaluation of XML retrieval (INEX) has a new track on entity ranking [12] , using Wikipedia as its document collection.  ... 
arXiv:0711.3128v1 fatcat:ijvh6sz5ljd3ldxgikpy2sswv4

Entity ranking in Wikipedia

Anne-Marie Vercoustre, James A. Thom, Jovan Pehcevski
2008 Proceedings of the 2008 ACM symposium on Applied computing - SAC '08  
Wikipedia offers a number of interesting features for entity identification and ranking that we first introduce.  ...  We then describe the principles and the architecture of our entity ranking system, and introduce our methodology for evaluation.  ...  The Initiative for the Evaluation of XML retrieval (INEX) has a new track on entity ranking [12] , using Wikipedia as its document collection.  ... 
doi:10.1145/1363686.1363943 dblp:conf/sac/VercoustreTP08 fatcat:6bffl3a4dzb5tc5rztkysmoq3q

Efficient Fuzzy Type-Ahead Search in XML Data

Jianhua Feng, Guoliang Li
2012 IEEE Transactions on Knowledge and Data Engineering  
In this paper, we study fuzzy type-ahead search in XML data, a new information-access paradigm in which the system searches XML data on the fly as the user types in query keywords.  ...  In a traditional keyword-search system over XML data, a user composes a keyword query, submits it to the system, and retrieves relevant answers.  ...  In our approach, each node on the XML tree could be potentially relevant to a keyword query, and we use a ranking function to decide the best answers to the query.  ... 
doi:10.1109/tkde.2010.264 fatcat:yxbifbofvjeo3h54cnaeipek2q

Combining Strategies for XML Retrieval [chapter]

Ning Gao, Zhi-Hong Deng, Jia-Jian Jiang, Sheng-Long Lv, Hang Yu
2011 Lecture Notes in Computer Science  
In Ad Hoc track, results for four tasks were submitted, EAEciency, Restricted Focused, Relevance In Context and Restricted Relevance In Context.  ...  In Data Centric track, to gain a set of closely related nodes that are collectively relevant to a given keyword query, we promote three factors, correlation, explicitnesses and distinctiveness.  ...  Data Centric track is to provide a common forum for researchers or users to compare di«erent retrieval techniques on data-centric XML documents, whose structure is plentiful and carries important information  ... 
doi:10.1007/978-3-642-23577-1_30 fatcat:v3lvp3h5urfc5laspegtycn3bq

Structured Document Retrieval, Multimedia Retrieval, and Entity Ranking Using PF/Tijah [chapter]

Theodora Tsikrika, Pavel Serdyukov, Henning Rode, Thijs Westerveld, Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
2008 Lecture Notes in Computer Science  
For the retrieval of textual and multimedia elements in the Wikipedia data, we investigated various length priors and found that biasing towards longer elements than the ones retrieved by our language  ...  For the entity ranking task, we used random walks to model multi-step relevance propagation from the articles describing entities to all related entities and further, and obtained promising results.  ...  Organisation for Scientific Research (NWO).  ... 
doi:10.1007/978-3-540-85902-4_27 fatcat:ujowgo2oxvfb3nzq3gox2q3gcq

Feedback-Driven Structural Query Expansion for Ranked Retrieval of XML Data [chapter]

Ralf Schenkel, Martin Theobald
2006 Lecture Notes in Computer Science  
In XML retrieval, feedback engines usually generate an expanded query from the content of elements marked as relevant or nonrelevant.  ...  It presents an integrated solution for expanding keyword queries with new content, path, and document constraints.  ...  Introduction Motivation With the proliferation of XML as a document format, information retrieval on XML data has recently received great attention.  ... 
doi:10.1007/11687238_22 fatcat:2gfewyg3yfhxtkdr4i3dgj7mui

A multi-ranker model for adaptive XML searching

Ho Lam Lau, Wilfred Ng
2007 The VLDB journal  
XML data.  ...  The MRM is composed of three ranking levels. The lowest level consists of two categories of similarity and granularity features.  ...  We share a similar spirit with [14, 12] in using a simple query language that is based on key-tags for XML searching.  ... 
doi:10.1007/s00778-007-0068-8 fatcat:dfkh4fdcyzfi5kglkafja3kone
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