Relevant bibliographies by topics / MRDS (Information retrieval system)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'MRDS (Information retrieval system)'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "MRDS (Information retrieval system)"

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Chávez, Ricardo Omar, Hugo Jair Escalante, Manuel Montes-y-Gómez, and Luis Enrique Sucar. "Multimodal Markov Random Field for Image Reranking Based on Relevance Feedback." ISRN Machine Vision 2013 (February 11, 2013): 1–16. http://dx.doi.org/10.1155/2013/428746.

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This paper introduces a multimodal approach for reranking of image retrieval results based on relevance feedback. We consider the problem of reordering the ranked list of images returned by an image retrieval system, in such a way that relevant images to a query are moved to the first positions of the list. We propose a Markov random field (MRF) model that aims at classifying the images in the initial retrieval-result list as relevant or irrelevant; the output of the MRF is used to generate a new list of ranked images. The MRF takes into account (1) the rank information provided by the initial retrieval system, (2) similarities among images in the list, and (3) relevance feedback information. Hence, the problem of image reranking is reduced to that of minimizing an energy function that represents a trade-off between image relevance and interimage similarity. The proposed MRF is a multimodal as it can take advantage of both visual and textual information by which images are described with. We report experimental results in the IAPR TC12 collection using visual and textual features to represent images. Experimental results show that our method is able to improve the ranking provided by the base retrieval system. Also, the multimodal MRF outperforms unimodal (i.e., either text-based or image-based) MRFs that we have developed in previous work. Furthermore, the proposed MRF outperforms baseline multimodal methods that combine information from unimodal MRFs.
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Kumar, Ram, and S. C. Sharma. "Information Retrieval System." International Journal of Technology Diffusion 9, no. 1 (2018): 1–10. http://dx.doi.org/10.4018/ijtd.2018010101.

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Information Retrieval Systems (IRS) have dramatically changed the ways how people acquire information for their need. Information Retrieval (IR) enables user to find relevant document from collection of countless resources. This article presents an overview of IRS. Objectives of this article is to answer all the basic and specific questions related to IRS. In contrast to other review papers, the authors provide a complete understanding of IR in single paper. Starting from definition and importance it covers retrieval process, performance issues, and comparison among various approaches. This article also includes description of different models along with analysis of their merits and demerits. This article proposes a list of challenges, still unanswered by existing systems. Before offering a conclusion, the major applications of IR are also listed.
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Tewari, Ashish Kumar, Rashi, Gulshan Wadhwa, Sanjeev Kumar Sharma, and Chakresh Kumar Jain. "BIRS – Bioterrorism Information Retrieval System." Bioinformation 9, no. 2 (2013): 112–15. http://dx.doi.org/10.6026/97320630009112.

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Md. Kowsher, Imran Hossen, and SkShohorab Ahmed. "Bengali Information Retrieval System(BIRS)." International Journal on Natural Language Computing 8, no. 5 (2019): 1–12. http://dx.doi.org/10.5121/ijnlc.2019.8501.

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Choi, Okkyung, Kangseok Kim, Duksang Wang, Hongjin Yeh, and Manpyo Hong. "Personalized Mobile Information Retrieval System." International Journal of Advanced Robotic Systems 9, no. 1 (2012): 11. http://dx.doi.org/10.5772/50910.

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Building a global Network Relations with the internet has made huge changes in personal information system and even comments left on a webpage of SNS(Social Network Services) are appreciated as important elements that would provide valuable information for someone. Social Network is a relation between individuals or groups, represented in a graph model, which converts the concept of psychological and social relations into a logical structure by using node and link. But, most of the current personalized systems on the basis of Social Network are built and constructed mainly in the PC environment, and the systems are neither designed nor implemented in mobile environment. Hence, the objective of this study is to propose methods of providing Personalized Mobile Information Retrieval System using NFC (Near Field Communication) Smartphone, which will be then used for Smartphone users. Besides, this study aims to verify its efficiency through a comparative analysis of existing studies.
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Hong, Seok-Joo, and Young-Bae Park. "Information Retrieval System for R2SS." Journal of the Korea Contents Association 9, no. 12 (2009): 39–51. http://dx.doi.org/10.5392/jkca.2009.9.12.039.

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SHIRAHASHI, Akihiro. "Information retrieval system through Internet." Journal of Information Processing and Management 37, no. 1 (1994): 19–26. http://dx.doi.org/10.1241/johokanri.37.19.

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Chkiwa, Mounira, Anis Jedidi, and Faiez Gargouri. "Semantic / Fuzzy Information Retrieval System." International Journal of Information Technology and Web Engineering 12, no. 1 (2017): 37–56. http://dx.doi.org/10.4018/ijitwe.2017010103.

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In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.
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Gudi, Anirudh. "Hypertext Based Information Retrieval System." IETE Technical Review 12, no. 4 (1995): 261–67. http://dx.doi.org/10.1080/02564602.1995.11416538.

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Lucarella, D., and R. Morara. "FIRST: Fuzzy Information Retrieval SysTem." Journal of Information Science 17, no. 2 (1991): 81–91. http://dx.doi.org/10.1177/016555159101700202.

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Dissertations / Theses on the topic "MRDS (Information retrieval system)"

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Morgenroth, Karlheinz. "Kontextbasiertes Information-Retrieval : Modell, Konzeption und Realisierung kontextbasierter Information-Retrieval-Systeme /." Berlin : Logos, 2006. http://deposit.ddb.de/cgi-bin/dokserv?id=2786087&prov=M&dok_var=1&dok_ext=htm.

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YU, HONGMING. "A PERSONALIZED INFORMATION ENVIRONMENT SYSTEM FOR INFORMATION RETRIEVAL." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060875911.

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Mills, Timothy J. "Content modelling in multimedia information retrieval systems : the Cobra retrieval system." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442405.

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Taylor, Steven Joseph. "Children's usage of an information retrieval system /." Access Digital Full Text version, 1992. http://pocketknowledge.tc.columbia.edu/home.php/bybib/11230162.

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Thesis (Ed.D.)--Teachers College, Columbia University, 1992.
Includes tables. Typescript; issued also on microfilm. Sponsor: Robert O. McClintock. Dissertation Committee: Robert P. Taylor. Includes bibliographical references (leaves 149-157).
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Mohan, Kondrahalli Chowdappa. "Choice of retrieval techniques for a multi-strategy retrieval system." Thesis, University of Sheffield, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287488.

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Zhu, Bin, and Hsinchun Chen. "Validating a Geographic Image Retrieval System." Wiley Periodicals, Inc, 2000. http://hdl.handle.net/10150/105934.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
This paper summarizes a prototype geographical image retrieval system that demonstrates how to integrate image processing and information analysis techniques to support large-scale content-based image retrieval. By using an image as its interface, the prototype system addresses a troublesome aspect of traditional retrieval models, which require users to have complete knowledge of the low-level features of an image. In addition we describe an experiment to validate the performance of this image retrieval system against that of human subjects in an effort to address the scarcity of research evaluating performance of an algorithm against that of human beings. The results of the experiment indicate that the system could do as well as human subjects in accomplishing the tasks of similarity analysis and image categorization. We also found that under some circumstances texture features of an image are insufficient to represent a geographic image. We believe, however, that our image retrieval system provides a promising approach to integrating image processing techniques and information retrieval algorithms.
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Hu, You-Heng Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "Development, evaluation and application of a geographic information retrieval system." Publisher:University of New South Wales. Surveying & Spatial Information Systems, 2007. http://handle.unsw.edu.au/1959.4/41754.

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Geographic Information Retrieval (GIR) systems provide users with functionalities of representation, storage, organisation of and access to various types of electronic information resources based on their textual and geographic context. This thesis explores various aspects of the development, evaluation and application of GIR systems. The first study focuses upon the extraction and grounding of geographic information entities. My approach for this study consists of a hierarchical structure-based geographic relationship model that is used to describe connections between geographic information entities, and a supervised machine learning algorithm that is used to resolve ambiguities. The proposed approach has been evaluated on a toponym disambiguation task using a large collection of news articles. The second study details the development and validation of a GIR ranking mechanism. The proposed approach takes advantage of the power of the Genetic Programming (GP) paradigm with the aim of finding an optimal functional form that integrates both textual and geographic similarities between retrieved documents and a given user query. My approach has been validated by applying it to a large collection of geographic metadata documents. The third study addresses the problem of modelling the GIR retrieval process that takes into account both thematic and geographic criteria. Based on the Spreading Activation Network (SAN), the proposed model consists a two-layer associative network that is used to construct a structured search space; a constrained spreading activation algorithm that is used to retrieve and to rank relevant documents; and a geographic knowledge base that is used to provide necessary domain knowledge for network. The retrieval performance of my model has been evaluated using the GeoCLEF 2006 tasks. The fourth study discusses the publishing, browsing and navigation of geographic information on the World Wide Web. Key challenges in designing and implementing of a GIR user interface through which online content can be systematically organised based on their geospatial characteristics, and can be efficiently accessed and interrelated, are addressed. The effectiveness and the usefulness of the system are shown by applying it to a large collection of geo-tagged web pages.
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Tsai, Chieh-Yuan. "A flexible feature-based design retrieval system /." free to MU campus, to others for purchase, 1999. http://wwwlib.umi.com/cr/mo/fullcit?p9946307.

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Weaver, Marybeth Therese. "Implementing an intelligent information retrieval system: the CODER system, version 1.0." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/44097.

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For individuals requiring interactive access to online text, information storage and retrieval systems provide a way to retrieve desired documents and/or text passages. The CODER (COmposite Document Expert/effective/extended Retrieval) system is a testbed for determining how useful various artificial intelligence techniques are for increasing the effectiveness of information storage and retrieval systems. The system, designed previously, has three components: an analysis subsystem for analyzing and storing document contents, a central spine for manipulation and storage of world and domain knowledge, and a retrieval subsystem for matching user queries to relevant documents. This thesis discusses the implementation of the retrieval subsystem and portions of the spine and analysis subsystem. It illustrates that logic programming, specifically with the Prolog language, is suitable for development of an intelligent information retrieval system. Furthermore, it shows that system modularity provides a flexible research testbed, allowing many individuals to work on different parts of the system which may later be quickly integrated. The retrieval subsystem has been implemented in a modular fashion so that new approaches to information retrieval can be easily compared to more traditional ones. A powerful knowledge representation language, a comprehensive lexicon and individually tailored experts using standardized blackboard modules for communication and control allowed rapid prototyping, incremental development and ready adaptability to change. The system executes on a DEC VAX ll/785 running ULTRIXâ ¢, a variant of 4.2 BSD UNIX. It has been implemented as a set of MU-Prolog and C modules communicating through TCP/IP sockets.
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Johnson, James Robert. "Interface design for an audio based information retrieval system." Master's thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-05042010-020011/.

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Books on the topic "MRDS (Information retrieval system)"

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B, Taylor Richard. GS MRDS: A system based on the data fields used in the national MRDS system but using dBASE III and a microcomputer (IBM PC) or compatible) for organizing data on mineral resource occurrences and providing tabular and graphic output. U.S. Dept. of the Interior, Geological Survey, 1986.

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B, Taylor Richard. GS MRDS: A system based on the data fields used in the national MRDS system but using dBASE III and a microcomputer (IBM PC) or compatible) for organizing data on mineral resource occurrences and providing tabular and graphic output. U.S. Dept. of the Interior, Geological Survey, 1986.

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Curran, Michelle. Medical information retrieval system. The Author], 1999.

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Bartley, Raymond L. Fishing tournament information and retrieval system. Texas A&M Sea Grant College Program, 1985.

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Multimedia information retrieval. Morgan & Claypool Publishers, 2010.

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Morris, Barbara. CARTO-NET: A cartographic information retrieval system. British Library Research and Development Dept., 1987.

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Perkins, C. R. Operationalizing a sheet based cartographic information retrieval system. British Library], 1993.

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Blinova, Anna. The development of an adaptive information retrieval system. University College Dublin, 1999.

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McAneny, Danielle S. Coastal Engineering Data Retrieval System (CEDRS). U.S. Army Engineer Waterways Experiment Station, 1995.

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System, Hawaii Ad Hoc Committee on the Criminal Justice Information. Criminal justice information system study. The Committee, 1985.

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Book chapters on the topic "MRDS (Information retrieval system)"

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Muhr, Thomas. "ATLAS/ti — ein Interpretations-Unterstützungs-System." In Information Retrieval. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76981-8_6.

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Mauldin, Michael L. "The Ferret System." In Conceptual Information Retrieval. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-4004-5_4.

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Willenborg, Josef. "ATLAS-PfleSaurus: Ein objektorientiertes System zur Unterstützung der Thesauruspflege." In Information Retrieval. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76981-8_5.

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Merkl, Dieter, A. Min Tjoa, and SteFan Vieweg. "Eine Hypertext-Benutzerschnittstelle für ein Juristisches Volltext Information Retrieval System." In Information Retrieval. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76981-8_12.

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Kowalski, Gerald. "Information Retrieval System Functions." In Information Retrieval Architecture and Algorithms. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7716-8_1.

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Kowalski, Gerald. "Information System Evaluation." In Information Retrieval Architecture and Algorithms. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7716-8_9.

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Ranganathan, Karthika, B. Barani, and T. V. Geetha. "A Tamil Lyrics Search and Visualization System." In Information Retrieval Technology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45068-6_44.

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Lee, Grace E., Keejun Han, and Mun Y. Yi. "Incorporating Distinct Opinions in Content Recommender System." In Information Retrieval Technology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28940-3_9.

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Kim, Yonghwan, and Soochan Hwang. "A Content-Based 3D Graphic Information Retrieval System." In Information Retrieval Technology. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880592_47.

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Xu, Kui, and Helen Meng. "Using Verb Dependency Matching in a Reading Comprehension System." In Information Retrieval Technology. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31871-2_17.

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Conference papers on the topic "MRDS (Information retrieval system)"

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Sanderson, Mark, and Justin Zobel. "Information retrieval system evaluation." In the 28th annual international ACM SIGIR conference. ACM Press, 2005. http://dx.doi.org/10.1145/1076034.1076064.

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Zhou, Hong, Syin Chan, and Kok-Fung Lai. "Multilingual information retrieval system." In Photonics East '96, edited by C. C. Jay Kuo. SPIE, 1996. http://dx.doi.org/10.1117/12.257307.

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Korra, R., P. Sujatha, S. Chetana, and M. Naresh Kumar. "Performance evaluation of Multilingual Information Retrieval (MLIR) system over Information Retrieval (IR) system." In 2011 International Conference on Recent Trends in Information Technology (ICRTIT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icrtit.2011.5972453.

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Mozaffari, Hamid, and Amir Houmansadr. "Heterogeneous Private Information Retrieval." In Network and Distributed System Security Symposium. Internet Society, 2020. http://dx.doi.org/10.14722/ndss.2020.24363.

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DeFazio, S., and C. Greenwald. "The Mead Information Retrieval System." In COMPCON Spring 88. IEEE, 1988. http://dx.doi.org/10.1109/cmpcon.1988.4906.

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Sangeetha, D., R. Kavyashri, S. Swetha, and S. Vignesh. "Information retrieval system for laws." In 2016 Eighth International Conference on Advanced Computing (ICoAC). IEEE, 2017. http://dx.doi.org/10.1109/icoac.2017.7951772.

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He, Zhenhuan, and Zhou Li. "Survey of Information retrieval system." In 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2012. http://dx.doi.org/10.1109/cyber.2012.6319999.

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Yang, Zhidan, and Zhiting Yang. "Cross Language Information Retrieval System." In 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017). Atlantis Press, 2018. http://dx.doi.org/10.2991/ifmeita-17.2018.63.

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Mauldin, Michael L. "Retrieval performance in Ferret a conceptual information retrieval system." In the 14th annual international ACM SIGIR conference. ACM Press, 1991. http://dx.doi.org/10.1145/122860.122896.

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Cai, Bingjing, Chris Zheng, Sen Yang, and Jeffery Z. J. Zheng. "Mixed Query Image Retrieval System." In 2007 International Conference on Information Acquisition. IEEE, 2007. http://dx.doi.org/10.1109/icia.2007.4295776.

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Reports on the topic "MRDS (Information retrieval system)"

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Corey, B. B., N. B. Gove, S. L. Yount, and W. J. McDowell. An information retrieval system for chemical separations scientists. Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/6725612.

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Trubey, D. K. JANE, A new information retrieval system for the Radiation Shielding Information Center. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/6042716.

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Stone, Brice M., Vincent L. Wiggins, Kevin M. Borden, LeAnn M. Coleman, and Sheree K. Engquist. Acquisition Information Retrieval and Simulation (ACQUIRES) System: A User's Manual. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada255724.

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Poole, Paula M., Marcie S. Kronberg, and Debra Meyers. Automated Airdrop Information Retrieval System-Human Fact ors Database (AAIRS-HFD) (Users Manual). Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada285571.

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Andrews, Patricia L., and Larry S. Bradshaw. FIRES: Fire Information Retrieval and Evaluation System - A program for fire danger rating analysis. U.S. Department of Agriculture, Forest Service, Intermountain Research Station, 1997. http://dx.doi.org/10.2737/int-gtr-367.

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The design and development of an information retrieval system of the EAMATE data. National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.4394v1.

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The design and development of an information retrieval system of the EAMATE data. National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.4394v2.

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