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Concept Expansion Using Web Tables
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]
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
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
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
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
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
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
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
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
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
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]
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
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
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
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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