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Relevant bibliographies by topics / Information retrieval. Information organization. Ontology

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Academic literature on the topic 'Information retrieval. Information organization. Ontology'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Information retrieval. Information organization. Ontology"

1

Ji, Zhi Gang. "A Novel Information Organization Method Based on Ontology for Unstructured Information." Key Engineering Materials 439-440 (June 2010): 1042–47. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1042.

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The paper analyzes the mode and method for unstructured information, compares the similarities and differences between ontology and vocabulary and taxonomy, and discusses the position and the function of ontology for unstructured information from the two aspects of standard system of semantic net and the concept characteristic of ontology. Based on the ontologies DB, the annotation of unstructured information is obtained. Information retrieval which consists of concept-matched retrieval and rule-based reasoning retrieval is proposed with the help of information annotation. The experiment resul

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Liang, Jun Feng, Chun Jin, Lei Zhang, and Xu Ning Liu. "Research of Agricultural Information Management and Retrieval." Advanced Materials Research 989-994 (July 2014): 5630–33. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5630.

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In order to improve the efficiency of agricultural information retrieval and provide the effect methods for the information retrieval of agricultural, the intelligent searching technology of agricultural information based on ontology is proposed. The paper firstly introduces the concept of ontology, analyzes the characters of agricultural knowledge, and constructs the related agricultural knowledge ontology and knowledge base, implementing the intelligent searching of the agricultural information. The results indicate that the research on agricultural ontology can contribute to organization an

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Wang, Xin Yuan, and Jin Dong Cui. "The Standardization of Folksonomy Based on Ontology Technology." Advanced Materials Research 655-657 (January 2013): 1830–33. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.1830.

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The folksonomy compared with the traditional classification and thematic approach, is a completely spontaneous by the user, which using natural language, uncontrolled information organization, easier to be accepted by public users. But on the one hand, the folksonomy due to the elimination of the strict vocabulary control and hierarchical structure has too many faults, such as fuzzy semantic retrieval accuracy and low recall rate, as well as tag the abuse of information garbage. In this paper, the author uses the ontology to standardize the folksonomy, and try to improve the effect of folksono

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Sun, Xia, Li, Shen, and Liu. "A Semantic Expansion Model for VGI Retrieval." ISPRS International Journal of Geo-Information 8, no. 12 (2019): 589. http://dx.doi.org/10.3390/ijgi8120589.

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OpenStreetMap (OSM) is a representative volunteered geographic information (VGI) project. However, there have been difficulties in retrieving spatial information from OSM. Ontology is an effective knowledge organization and representation method that is often used to enrich the search capabilities of search systems. This paper constructed an OSM ontology model with semantic property items. A query expansion method is also proposed based on the similarity of properties of the ontology model. Moreover, a relevant experiment is conducted using OSM data related to China. The experimental results d

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Wang, Shun Yan, You An Ke, and Yan Wen Wang. "Research on Active Services Component Library Based on Ontology." Applied Mechanics and Materials 20-23 (January 2010): 1034–39. http://dx.doi.org/10.4028/www.scientific.net/amm.20-23.1034.

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Active service is a kind of Web service which can be customized by customer’s requirement. The development of component technology provides foundation for the implementation of active services. Based on UCDL, the key technology of Local Component Resource Warehouse (LCRW) is expounded, the model of component library based on active service is constructed, the organization method by facet classification combined with ontology information classification is proposed, and the component retrieval based on Ontology Information is also proposed in view of facet retrieval.

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Vlahovic, Nikola, Andrija Brljak, and Mirjana Pejic-Bach. "Ontology-Based Analysis of Website Structure for Benchmarking in Retail Business." International Journal of Web Portals 13, no. 1 (2021): 1–19. http://dx.doi.org/10.4018/ijwp.2021010101.

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With the growing trend of digital transformation, electronic business has become a crucial part of business operations for many companies. Some of the most critical steps in successful transformation pertain not only to data and information acquisition and digitalization but also to adequate publishing and organization of these information resources. Companies share information through their websites, so the structuring of the web content becomes critical during the digital transformation of business. In this paper, the authors present a conceptual model of the managerial tool that is based on

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Li, Xiaoying, Xin Lin, Huiling Ren, and Jinjing Guo. "Ontological Organization and Bioinformatic Analysis of Adverse Drug Reactions From Package Inserts: Development and Usability Study." Journal of Medical Internet Research 22, no. 7 (2020): e20443. http://dx.doi.org/10.2196/20443.

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Background Licensed drugs may cause unexpected adverse reactions in patients, resulting in morbidity, risk of mortality, therapy disruptions, and prolonged hospital stays. Officially approved drug package inserts list the adverse reactions identified from randomized controlled clinical trials with high evidence levels and worldwide postmarketing surveillance. Formal representation of the adverse drug reaction (ADR) enclosed in semistructured package inserts will enable deep recognition of side effects and rational drug use, substantially reduce morbidity, and decrease societal costs. Objective

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Yi, Myongho. "Information organization and retrieval using a topic maps-based ontology: Results of a task-based evaluation." Journal of the American Society for Information Science and Technology 59, no. 12 (2008): 1898–911. http://dx.doi.org/10.1002/asi.20899.

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Madalli, Devika, Anila Sulochana, and Abhinav Kumar Singh. "COMAT: core ontology of matter." Program 50, no. 1 (2016): 103–17. http://dx.doi.org/10.1108/prog-01-2015-0002.

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Purpose – Matter is an important topic of science as a discipline since its inception. Nevertheless, along with the evolution of semantic web, matter has got equal importance among the ontology developers. The current work describes an ontology of matter that the authors developed in the lab. The purpose of this paper is to come up with an exhaustive list of concepts and relations to cover matter domain under one umbrella, after identifying the gaps in the present ontologies. Design/methodology/approach – Ontology was developed following faceted analytico-synthetic approach of knowledge organi

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Chen, Jinju, and Shiyan Ou. "Research on the construction of the semantic model for Chinese ancient architectures based on architectural narratives." Electronic Library 38, no. 4 (2020): 769–84. http://dx.doi.org/10.1108/el-02-2020-0039.

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Purpose This paper aims to reorganize the relevant information of Chinese ancient architectures with the use of Semantic Web technologies and thus facilitate its deep discovery and usage. Design/methodology/approach This paper proposes an ontology model for Chinese ancient architectures based on architectural narratives theory. To verify the availability of the ancient architecture ontology, we designed and implemented three experiments, including semantic retrieval based on SPARQL query, semantic reasoning with the use of Jena reasoner and visual analysis based on the Chinese Online Digital H

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Dissertations / Theses on the topic "Information retrieval. Information organization. Ontology"

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Cui, Licong. "Ontology-guided Health Information Extraction, Organization, and Exploration." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1401709795.

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Khilwani, Nitesh. "Role of Semantic web in the changing context of Enterprise Collaboration." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8495.

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In order to compete with the global giants, enterprises are concentrating on their core competencies and collaborating with organizations that compliment their skills and core activities. The current trend is to develop temporary alliances of independent enterprises, in which companies can come together to share skills, core competencies and resources. However, knowledge sharing and communication among multidiscipline companies is a complex and challenging problem. In a collaborative environment, the meaning of knowledge is drastically affected by the context in which it is viewed and interpre

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Tomassen, Stein L. "Conceptual Ontology Enrichment for Web Information Retrieval." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-14270.

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Searching for information on the Web can be frustrating. One of the reasons is the ambiguity of words. The work presented in this thesis concentrates on how the effectiveness of standard information retrieval systems can be enhanced with semantic technologies like ontologies. Ontologies are knowledge models that can represent knowledge of any universe of discourse by describing how concepts of a domain are related. Creating and maintaining ontologies can be tedious and costly. However, we focus on reusing ontologies, rather than engineering, and on their applicability to improve the retrieval

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YARDI, APARNA ARVIND. "CONCEPT BASED INFORMATION ORGANIZATION AND RETRIEVAL." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1152832274.

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Jimeno, Yepes Antonio José. "Ontology refinement for improved information retrieval in the biomedical domain." Doctoral thesis, Universitat Jaume I, 2009. http://hdl.handle.net/10803/384552.

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Este trabajo de tesis doctoral se centra en el uso de ontologías de dominio y su refinamiento enfocado a la recuperación de la información. El dominio seleccionado ha sido el de la Biomedicina, que dispone de una extensa colección de resúmenes en la base de datos Medline y recursos que facilitan la creación de ontologías muy extensas, tales como MeSH o UMLS. En este trabajo se ha desarrollado también un modelo de formulación de consulta que permite relacionar un modelo de documento con una ontología dentro de los modelos de lenguaje. Además hemos desarrollado un algoritmo que permite mejorar

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Mehalingam, Senthilkumar. "Ontology based code generation for datalogger." Diss., Online access via UMI:, 2006.

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Fischer, Wolf [Verfasser], and Bernhard [Akademischer Betreuer] Bauer. "Linguistically Motivated Ontology-Based Information Retrieval / Wolf Fischer. Betreuer: Bernhard Bauer." Augsburg : Universität Augsburg, 2013. http://d-nb.info/1077702795/34.

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Kipp, Margaret E. I. "Tagging for health information organisation and retrieval." dLIST, 2007. http://hdl.handle.net/10150/105622.

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This paper examines the tagging practices evident on CiteULike, a research oriented social bookmarking site for journal articles. Articles selected for this study were health information and medicine related. Tagging practices were examined using standard informetric measures for analysis of bibliographic information and analysis of term use. Additionally, tags were compared to descriptors assigned to the same article.

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Shao, Bo. "User-centric Music Information Retrieval." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/416.

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The rapid growth of the Internet and the advancements of the Web technologies have made it possible for users to have access to large amounts of on-line music data, including music acoustic signals, lyrics, style/mood labels, and user-assigned tags. The progress has made music listening more fun, but has raised an issue of how to organize this data, and more generally, how computer programs can assist users in their music experience. An important subject in computer-aided music listening is music retrieval, i.e., the issue of efficiently helping users in locating the music they are looking for

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Bhogal, Jagdev. "Investigating ontology based query expansion using a probabilistic retrieval model." Thesis, City University London, 2011. http://openaccess.city.ac.uk/2946/.

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This research briefly outlines the problems of traditional information retrieval systems and discusses the different approaches to inferring context in document retrieval. By context we mean word disambiguation which is achieved by exploring the generalisation-specialisation hierarchies within a given ontology. Specifically, we examine the use of ontology based query expansion for defining query context. Query expansion can be done in many ways and in this work we consider the use of relevance feedback and pseudo-relevance feedback for query expansion. We examine relevance feedback and pseudo-

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Books on the topic "Information retrieval. Information organization. Ontology"

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Portmann, Edy. The FORA Framework: A Fuzzy Grassroots Ontology for Online Reputation Management. Springer Berlin Heidelberg, 2013.

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Perspectives on ontology learning. IOS Press, 2014.

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Chowdhury, G. G. Introduction to modern information retrieval. Library Association Pub., 1999.

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Introduction to modern information retrieval. 3rd ed. Neal-Schuman Publishers, 2010.

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Introduction to modern information retrieval. 3rd ed. Facet, 2010.

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Chowdhury, G. G. Introduction to modern information retrieval. 3rd ed. Neal-Schuman Publishers, 2010.

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Chowdhury, G. G. Introduction to modern information retrieval. 3rd ed. Facet, 2010.

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Introduction to modern information retrieval. 2nd ed. Facet, 2004.

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Schade, Sven. Ontology-driven translation of geospatial data. AKA, 2010.

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Ontology engineering in a networked world. Springer, 2012.

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Book chapters on the topic "Information retrieval. Information organization. Ontology"

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Alfred, Rayner, Kim On Chin, Patricia Anthony, et al. "Ontology-Based Query Expansion for Supporting Information Retrieval in Agriculture." In The 8th International Conference on Knowledge Management in Organizations. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7287-8_24.

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Noah, Shahrul Azman, Nor Afni Raziah Alias, Nurul Aida Osman, et al. "Ontology-Driven Semantic Digital Library." In Information Retrieval Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17187-1_13.

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Lipani, Aldo, Florina Piroi, Linda Andersson, and Allan Hanbury. "An Information Retrieval Ontology for Information Retrieval Nanopublications." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11382-1_5.

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Taheri, Aynaz, and Mehrnoush Shamsfard. "Mapping FarsNet to Suggested Upper Merged Ontology." In Information Retrieval Technology. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25631-8_55.

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Park, Dae-Won, Hyoung-Sam Heo, Hyuk-Chul Kwon, and Hea-Young Chung. "Protein Function Classification Based on Gene Ontology." In Information Retrieval Technology. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562382_69.

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Lim, Edward H. Y., James N. K. Liu, and Raymond S. T. Lee. "Text Information Retrieval." In Knowledge Seeker - Ontology Modelling for Information Search and Management. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17916-7_3.

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Chan, Ki, and Wai Lam. "Gene Ontology Classification of Biomedical Literatures Using Context Association." In Information Retrieval Technology. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562382_49.

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Lee, Seungkeun, Sehoon Lee, Kiwook Lim, and Junghyun Lee. "The Design of Webservices Framework Support Ontology Based Dynamic Service Composition." In Information Retrieval Technology. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562382_74.

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Yoshioka, Masaharu. "Analysis of Japanese Wikipedia Category for Constructing Wikipedia Ontology and Semantic Similarity Measure." In Information Retrieval Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12844-3_40.

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Rafiei, Davood, and Alberto O. Mendelzon. "Efficient Retrieval of Similar Time Series." In Information Organization and Databases. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-1379-7_6.

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Conference papers on the topic "Information retrieval. Information organization. Ontology"

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Zhang, Peiyun, and Rongjian Xie. "Ontology-Based Unstructured Information Organization and Retrieval." In 2009 WRI World Congress on Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/wcse.2009.305.

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Kindle, C. "Ontology-supported Information Retrieval." In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1630148.

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Zhigang Ji, Gang Liu, and Qingyu Sun. "Unstructured information organization based on ontology." In 2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies (EDT). IEEE, 2010. http://dx.doi.org/10.1109/edt.2010.5496544.

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Mustafa, Jibran, Sharifullah Khan, and Khalid Latif. "Ontology based semantic information retrieval." In 2008 4th International IEEE Conference "Intelligent Systems" (IS). IEEE, 2008. http://dx.doi.org/10.1109/is.2008.4670473.

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SaravanaPriya, M., and M. JananiSankari. "Information retrieval from conference ontology." In 2014 International Conference on Advanced Communication, Control and Computing Technologies (ICACCCT). IEEE, 2014. http://dx.doi.org/10.1109/icaccct.2014.7019166.

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Sonakneware, Pratibha S., and Shivkumar J. Karale. "Efficient information retrieval using domain ontology." In 2014 International Conference for Convergence of Technology (I2CT). IEEE, 2014. http://dx.doi.org/10.1109/i2ct.2014.7092229.

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Zhuhadar, Leyla, Olfa Nasraoui, and Robert Wyatt. "Visual Ontology-Based Information Retrieval System." In 2009 13th International Conference Information Visualisation, IV. IEEE, 2009. http://dx.doi.org/10.1109/iv.2009.47.

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Gao, Huiying, Jinghua Zhao, Qiuju Yin, and Jingxia Wang. "Ontology-based enterprise information retrieval model." In 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/gsis.2009.5408118.

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Yinghui Huang, Guanyu Li, and Qiangqiang Li. "Rough Ontology Based Semantic Information Retrieval." In 2013 6th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2013. http://dx.doi.org/10.1109/iscid.2013.23.

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Sharma, Nmmita, Aditya Khamparia, and Babita Pandey. "Ontology Based Product Information Retrieval Ecommtology." In 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT). IEEE, 2016. http://dx.doi.org/10.1109/cict.2016.130.

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Reports on the topic "Information retrieval. Information organization. Ontology"

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Manmatha, R., J. Allan, W. B. Croft, and J. Callan. Infrastructure of Large Scale Multimedia Information Indexing Retrieval and Organization. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada379846.

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