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Concept Expansion Using Web Tables

Chi Wang, Kaushik Chakrabarti, Yeye He, Kris Ganjam, Zhimin Chen, Philip A. Bernstein
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15  
They suffer from input ambiguity and semantic drift, or are not viable options for ad-hoc tail concepts. In this paper, we propose to leverage the millions of tables on the web for this problem.  ...  Experiments with real-life concepts show that our proposed solution is significantly more effective than applying state-of-the-art set expansion or holistic ranking techniques.  ...  This is the same WTS that powers web table search in Excel PowerQuery [3] . We use concepts in Probase [32] as the testbed for expansion.  ... 
doi:10.1145/2736277.2741644 dblp:conf/www/WangCHGCB15 fatcat:ikapscxwtvbv5pcdtp7qskvp6e

Collective Evolutionary Concept Distance Based Query Expansion for Effective Web Document Retrieval [chapter]

Clement H. C. Leung, Yuanxi Li, Alfredo Milani, Valentina Franzoni
2013 Lecture Notes in Computer Science  
Two key tasks for query expansion in web document retrieval are to find the expansion candidates, as the closest concepts in web document domain, and to rank the expanded queries properly.  ...  The basic idea is to measure the distance between candidate concepts using the PMING distance, a collaborative semantic proximity measure, i.e. a measure which can be computed by using statistical results  ...  Table 1 shows an example of the comparison between our web document search query expansion system and Bing Web document search engine query expansion, as well as user ranked similarity of the concepts  ... 
doi:10.1007/978-3-642-39649-6_47 fatcat:rynjcljgargilclw4faisfl7hq

Effective query formulation with multiple information sources

Michael Bendersky, Donald Metzler, W. Bruce Croft
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
Most standard information retrieval models use a single source of information (e.g., the retrieval corpus) for query formulation tasks such as term and phrase weighting and query expansion.  ...  The proposed query formulations are especially advantageous for large scale web corpora, where they also reduce the number of terms required for effective query expansion, and improve the diversity of  ...  Note that Equation 5 uses the same concept expansion weighting scheme used by Latent Concept Expansion [29] .  ... 
doi:10.1145/2124295.2124349 dblp:conf/wsdm/BenderskyMC12 fatcat:agebejs7o5f2pghyyify3pr4le

Query Driven Conceptual Browsing: A Semi-Automated Approach for Building and Exploring Concepts on the Web

Kinshuk Jerath, Balaji Padmanabhan
2005 Social Science Research Network  
the Web.  ...  We show how this idea is related to prior work on learning concept maps and on Web Mining, and discuss the application of conceptual browsing for user-driven exploration and discovery of new concepts on  ...  Using the expansion query for each concept we repeat the process to learn new concepts.  ... 
doi:10.2139/ssrn.886948 fatcat:eywcstdzurb4tgaunhxbusinmu

Improving the estimation of relevance models using large external corpora

Fernando Diaz, Donald Metzler
2006 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06  
Our results show that using a high quality corpus that is comparable to the evaluation corpus can be as, if not more, effective than using the web.  ...  We refer to this process as external expansion.  ...  Instead, using a high quality (high concept density) corpus that is comparable to the evaluation corpus can be as, if not more, effective than using the web.  ... 
doi:10.1145/1148170.1148200 dblp:conf/sigir/DiazM06 fatcat:ztcfmvvcj5earoqojiwu3huzbu

Parameterized concept weighting in verbose queries

Michael Bendersky, Donald Metzler, W. Bruce Croft
2011 Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11  
In addition, our model significantly reduces the number of latent concepts used for query expansion compared to the nonparameterized pseudo-relevance feedback based models.  ...  In our model, the weight of each query concept is determined using a parameterized combination of diverse importance features.  ...  Number of Expansion Concepts In Table 5 , we have limited ourselves to the efficient setting of using solely the top ten ET-concepts for query expansion.  ... 
doi:10.1145/2009916.2009998 dblp:conf/sigir/BenderskyMC11 fatcat:oqmuyiqpafbttavj5wtmuj6wai

Exploring Effective Information Retrieval Technique for the Medical Web Documents: SNUMedinfo at CLEFeHealth2014 Task 3

Sungbin Choi, Jinwook Choi
2014 Conference and Labs of the Evaluation Forum  
We submitted 7 runs to Task3a (monolingual information retrieval): 1 baseline run using query likelihood model in Indri search engine; 3 runs applying UMLS based lexical query expansion utilizing discharge  ...  summary as an expansion term filter; 3 runs applying learning to rank technique utilizing various document features.  ...  Preferred terms per each UMLS concepts are extracted as a candidate expansion terms.  ... 
dblp:conf/clef/ChoiC14 fatcat:snbhaopuy5bmpbf3kxnuqeuz4a

Detecting privacy-sensitive events in medical text

Prateek Jindal, Carl A. Gunter, Dan Roth
2014 Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics - BCB '14  
Several applications can use this information to make the hospital systems more secure.  ...  Recent US government initiatives have led to wide adoption of Electronic Health Records (EHRs). More and more health care institutions are storing patients' data in an electronic format.  ...  Acknowledgments We thankfully acknowledge the contribution of Tony Michalos in helping us to prepare the datasets used in the experimental work. We are also thankful to Prof.  ... 
doi:10.1145/2649387.2662451 dblp:conf/bcb/JindalGR14 fatcat:z2kos2333rgadnrk6h2zxsuinu

Using SKOS vocabularies for improving web search

Bernhard Haslhofer, Flávio Martins, João Magalhães
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
We propose a SKOS-based term expansion and scoring technique that leverages labels and semantic relationships of SKOS concept definitions.  ...  Our findings are important for publishers and consumer of Web vocabularies who want to use them for improving search over Web documents.  ...  Table 1 summarizes the results from our experiment on the OHSUMED/MeSH bundle, in which we compared the performance of SKOS-based expansion to no expansion and pseudo-relevance feedback using two different  ... 
doi:10.1145/2487788.2488159 dblp:conf/www/HaslhoferMM13 fatcat:rskagtb355ds5jntewxayex7a4

Task 2a: Team KU-CS: Query Coherence Analysis for PRF and Genomics Expansion

Ornuma Thesprasith, Chuleerat Jaruskulchai
2015 Conference and Labs of the Evaluation Forum  
The baseline retrieves using Lucene v.4.6 with default configuration. Overall retrieval performance of the baseline is better than the adaptive query expansion (P@10, MAP, and NDCG).  ...  The different query styles should be treated with different query expansion mechanisms. This work is an adaptive query expansion based on the coherence among query terms.  ...  Adaptive Query Expansion. After determine group of query mechanism, we do expansion each group with the parameter settings as shown the Table 2 and Table 3 .  ... 
dblp:conf/clef/ThesprasithJ15 fatcat:qoqvedwon5brzpczcyopzcng4u

MOSS-IR: Multi-Ontology Based Search System for Information Retrieval in E-health Domain

V. Viji Rajendran, S. Swamynathan
2015 Procedia Computer Science  
With the development of the Semantic Web, ontology has become the crucial means for representing concepts in various domains of interest.  ...  A sample of ontology selection criteria is given in the table 2 and sample query is given in table 3. 2) Concept expansion: Input query is semantically expanded in ontology based information retrieval.  ...  For each identified ontology concept, estimate its weight using the log file created. 3) Aggregation of concepts: merge lists of expansion terms for each concept into one final expansion list.  ... 
doi:10.1016/j.procs.2015.03.196 fatcat:6m5n32ipyvh5fl5b6ud2c6r324

Very Fast Similarity Queries on Semi-Structured Data from the Web [chapter]

Bhavana Dalvi, William W. Cohen
2013 Proceedings of the 2013 SIAM International Conference on Data Mining  
We demonstrate how it can be used for variety of similarity queries like set expansion, automatic set instance acquisition, and column classification.  ...  In this paper, we propose a single low-dimensional representation for entities found in different datasets on the web.  ...  Set expansion has been used for tasks such as answering entity-list completion queries [4] , and the semi-structured data used in set expansion has been extended with other sources, such as web search  ... 
doi:10.1137/1.9781611972832.57 dblp:conf/sdm/CohenD13 fatcat:c2vspplyaveidax3u73phutg7y

Spoken Document Retrieval by Contents Complement and Keyword Expansion Using Subordinate Concept for NTCIR-SpokenDoc

Noboru Kanedera
2013 NTCIR Conference on Evaluation of Information Access Technologies  
The keyword expansion using the subordinate concept and dictionary improved the mean average precision (MAP) from 0.320 to 0.324 for the lecture retrieval task.  ...  For the passage retrieval task, all of contents complement, keyword expansion, and subword were used. The subword was effective because a retrieving keyword was not contained in target in many cases.  ...  The expansion by using the subordinate concept was superior to those by using the broader concept.  ... 
dblp:conf/ntcir/Kanedera13 fatcat:urhm2kv5vrglhp53yycjtxgm4m

Information retrieval with query hypergraphs

Michael Bendersky
2012 SIGIR Forum  
For instance, the Google N-grams source (a large collection of web n-gram counts) is useful for concept weighting, but not for query expansion.  ...  In addition, Table 7 .6 and Table 7 .7 clearly demonstrate the importance of using external information sources for both concept weighting and expansion term selection.  ... 
doi:10.1145/2422256.2422273 fatcat:6qycajgmcvhlja7yehghwvsexi

Ontology-based Query Expansion for Arabic Text Retrieval

Waseem Alromima, Ibrahim F., Rania Elgohary, Mostafa Aref
2016 International Journal of Advanced Computer Science and Applications  
In the proposed approach, the search engine index is represented using Vector Space Model (VSM), and the Arabic's place nouns domain ontology has been used which constructed and implemented using Web Ontology  ...  In semantic web, the ontology plays a central role for the information retrieval, which use to retrieves more relevant information from unstructured information.  ...  for the input query, which are used in expansion as shown in Table 1 .  ... 
doi:10.14569/ijacsa.2016.070830 fatcat:vzeq65bn3rbohfbngrhss7f5aq
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