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Leveraging both Structured and Unstructured Data for Precision Information Retrieval

Yanshan Wang, Ravikumar Komandur Elayavilli, Majid Rastegar-Mojarad, Hongfang Liu
2017 Text Retrieval Conference  
We first query the unstructured fields (i.e., the fields of title and abstract) and utilize information in structured fields from top-ranked documents as feedback for query expansion.  ...  The extracted entities were indexed in different fields and treated as structured data for retrieval. Second, we used multi-field querying in a Pseudo Relevance Feedback (PRF) model.  ...  Figure 3 shows the indexing fields for both data sources.  ... 
dblp:conf/trec/WangERL17 fatcat:a6q4t4pxnfdcdpm6otc4mduakq

On Cohort Retrieval System from Clinical Data Repositories using OMOP Common Data Model: A Proof-of-Concept Implementation (Preprint)

Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William Hersh, Hongfang Liu
2019 JMIR Medical Informatics  
In this paper, we present the implementation of a cohort retrieval system that can execute textual cohort selection queries on both structured data and unstructured text-Cohort Retrieval Enhanced by Analysis  ...  precision at 5 of 0.90, which outperforms systems using only structured data or only unstructured text with mean precision at 5 values of 0.54 and 0.74, respectively.  ...  The work was supported by the National Institutes of Health (grants R01LM011934, R01EB19403, R01LM11829, and U01TR02062).  ... 
doi:10.2196/17376 pmid:33021486 fatcat:jnr452ywrzbuhajeamukcb4aqi

Graph-Based Entity-Oriented Search: A Unified Framework in Information Retrieval [chapter]

José Devezas
2020 Lecture Notes in Computer Science  
documents and structured information sources such as knowledge bases.  ...  One opportunity that remains open is the research of unified frameworks for the representation and retrieval of heterogeneous information sources.  ...  José Devezas is supported by research grant PD/BD/ 128160/2016, provided by the Portuguese national funding agency for science, research and technology, Fundação para a Ciência e a Tecnologia (FCT), within  ... 
doi:10.1007/978-3-030-45442-5_78 fatcat:aeusurr4znb2vflf7t3mhhhodq

CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model [article]

Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William Hersh, Hongfang Liu
2019 arXiv   pre-print
both structured and unstructured EHR data.  ...  Natural language processing (NLP) techniques have shown promise in their capability to extract the embedded information in unstructured clinical data, and information retrieval (IR) techniques provide  ...  The work was supported by National Institutes of Health grants R01LM011934, R01EB19403, R01LM11829, and U01TR02062.  ... 
arXiv:1901.07601v1 fatcat:vacjcl23inamlapjlmwizb2clu

Finding relevant information of certain types from enterprise data

Xitong Liu, Hui Fang, Cong-Lei Yao, Min Wang
2011 Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11  
In particular, enterprise data include both unstructured and structured information, and all the data center around a particular enterprise.  ...  Specifically, we formulate the problem as keyword search over structured or semistructured data, and then propose to leverage the complementary unstructured information in the enterprise data to solve  ...  Both of them contains unstructured documents and structured information such as relational databases or RDF data.  ... 
doi:10.1145/2063576.2063588 dblp:conf/cikm/LiuFYW11 fatcat:25wbkzqza5fpho6fd777osmsaa

Entity Centric Information Retrieval

Xitong Liu
2016 SIGIR Forum  
to improve the retrieval over both unstructured and structured data.  ...  We first find the related entities which are potentially helpful to the query by leveraging information from both unstructured and structured data.  ... 
doi:10.1145/2964797.2964815 fatcat:qdmhwfminnaefonienqyggckbm

On the Integration of Structured Data and Text: A Review of the SIRE Architecture (invited talk)

Ophir Frieder
2000 DELOS Workshops / Conferences  
searches of structured and unstructured data.  ...  A central theme for all of our systems was the integration of structured data and text.  ...  Acknowledgments This entire effort would not be possible without the contributions of the entire Information Retrieval Laboratory members.  ... 
dblp:conf/delos/Frieder00 fatcat:mdsjxgln5bdztexsoccejh4lui

Mining Local Specialties for Travelers by Leveraging Structured and Unstructured Data

Kai Jiang, Like Liu, Rong Xiao, Nenghai Yu
2012 Advances in Multimedia  
To solve this problem, this paper presents a local specialty mining algorithm, which utilizes both the structured data from local review websites and the unstructured user-generated content (UGC) from  ...  Experiments on a large data set show that the proposed algorithm can achieve a good performance, and compared to using local review data alone, leveraging unstructured UGC can boost the mining performance  ...  The proposed algorithm leverages both structured data from local review websites and unstructured data from user-generated content from Q&A websites and travelogues.  ... 
doi:10.1155/2012/987124 fatcat:c6ouyh3d2ba75lfucown4eijaa

Leveraging the structure of the Semantic Web to enhance information retrieval for proteomics

A. Smith, K. Cheung, M. Krauthammer, M. Schultz, M. Gerstein
2007 Bioinformatics  
To improve information retrieval, we leverage the structure of the semantic web, developing an approach for joining it with the largely opposing paradigm of unsupervised web search.  ...  Motivation: Proteomics researchers need to be able to quickly retrieve relevant information from the web and the biomedical literature.  ...  The Semantic web and search engines: structured versus unstructured search Search engines and the semantic web can be viewed as two opposing paradigms for information retrieval on the internet, with search  ... 
doi:10.1093/bioinformatics/btm452 pmid:17923450 fatcat:ze3krq5dmrgghneinmoizudq6q

Constructing query-specific knowledge bases

Jeffrey Dalton, Laura Dietz
2013 Proceedings of the 2013 workshop on Automated knowledge base construction - AKBC '13  
Instead, we propose constructing a 'knowledge sketch' that leverages existing KB data elements and relevant text documents to construct query-specific KB data.  ...  A knowledge sketch is a distribution over entities, documents, and relationships between entities, all for a specific information need.  ...  Acknowledgements This work was supported in part by the Center for Intelligent Information Retrieval and in part by IBM subcontract #4913003298 under DARPA prime contract #HR001-12-C-0015.  ... 
doi:10.1145/2509558.2509568 dblp:conf/cikm/DaltonD13 fatcat:ywvq3iujm5a6djrt4gmf3mlsfa

Entity centric query expansion for enterprise search

Xitong Liu, Hui Fang, Fei Chen, Min Wang
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
Specifically, given a query containing entities, we first utilize both unstructured and structured information to find entities that are related to the ones in the query.  ...  Intuitively, information related to the entities mentioned in the query, such as related entities, would be useful to reformulate the query and improve the retrieval performance.  ...  We thank the anonymous CIKM reviewers for their useful comments.  ... 
doi:10.1145/2396761.2398551 dblp:conf/cikm/LiuFCW12 fatcat:khjwzg7jebdllfna4vf5tduhzq

Test collections for electronic health record-based clinical information retrieval

Yanshan Wang, Andrew Wen, Sijia Liu, William Hersh, Steven Bedrick, Hongfang Liu
2019 JAMIA Open  
Electronic health record (EHR) data, including structured and free-text data, from 45 000 patients who are a part of the Mayo Clinic Biobank cohort was retrieved from the clinical data warehouse.  ...  To create test collections for evaluating clinical information retrieval (IR) systems and advancing clinical IR research.  ...  ., and Xin Zhou, M.D. for the relevance judgment. Conflict of interest statement. None declared.  ... 
doi:10.1093/jamiaopen/ooz016 pmid:31709390 pmcid:PMC6824517 fatcat:n5dldhkybvfanjktk42yfdyipq

AUDR: An Advanced Unstructured Data Repository

Xianglong Liu, Bo Lang, Wei Yu, Junwu Luo, Lei Huang
2011 2011 6th International Conference on Pervasive Computing and Applications  
To support content-based retrieval, intelligent retrieval and associated retrieval, it defines and implements intelligent query language of unstructured data by extending XQuery language.  ...  Based on a uniform data model named the Tetrahedral Data Model proposed recently, a scalable architecture is designed to provide storage, process and mining functions for massive complex unstructured data  ...  Retrieval For semantic retrieval, AUDR adopts popular TF IDF based textual retrieval methods like BM25, which satisfy the time and precision requirements. Figure 5 .  ... 
doi:10.1109/icpca.2011.6106548 fatcat:uoacgbwrfzht5ddicab53hqzhy

Exploiting entity relationship for query expansion in enterprise search

Xitong Liu, Fei Chen, Hui Fang, Min Wang
2014 Information retrieval (Boston)  
Enterprise search is important, and the search quality has a direct impact on the productivity of an enterprise. Enterprise data contain both structured and unstructured information.  ...  Keywords Entity centric Á Enterprise search Á Retrieval Á Query expansion Á Combining structured and unstructured data Introduction Today any enterprise has to deal with a sheer amount of information such  ...  We thank reviewers for their useful comments.  ... 
doi:10.1007/s10791-013-9237-0 fatcat:bzpv27mqnjeqrnniwr7nrt3yuy

Structurally Heterogeneous Source Code Examples from Unstructured Knowledge Sources

Venkatesh Vinayakarao, Rahul Purandare, Aditya V. Nori
2015 Proceedings of the 2015 Workshop on Partial Evaluation and Program Manipulation - PEPM '15  
While researchers have proposed approaches to retrieve relevant posts and code snippets, the need for finding variant implementations of functionally similar code snippets has been ignored.  ...  The results of our evaluation indicates that the approach extracts structurally different snippets with a precision of 83%.  ...  Sebastian Elbaum for their suggestions to improve this work.  ... 
doi:10.1145/2678015.2682537 dblp:conf/pepm/VinayakaraoPN15 fatcat:drbisrgjdvgh3mdmf2dlibwnpu
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