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Relevant bibliographies by topics / Information retrieval and access

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Academic literature on the topic 'Information retrieval and access'

Author: Grafiati

Published: 12 December 2022

Last updated: 26 January 2023

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Journal articles on the topic "Information retrieval and access"

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Oliver, Ron. "Interactive information systems: information access and retrieval." Electronic Library 13, no. 3 (March 1995): 187–94. http://dx.doi.org/10.1108/eb045360.

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Oliver, Ron, and Helen Oliver. "Information access and retrieval with hypermedia information systems." British Journal of Educational Technology 27, no. 1 (January 1996): 33–44. http://dx.doi.org/10.1111/j.1467-8535.1996.tb00141.x.

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Htun, Nyi Nyi. "Non-Uniform Information Access in Collaborative Information Retrieval." ACM SIGIR Forum 51, no. 3 (February 22, 2018): 163–64. http://dx.doi.org/10.1145/3190580.3190607.

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Taan, Ayman A., Shafiq Ur Rehman Khan, Ali Raza, Ayaz Muhammad Hanif, and Hira Anwar. "Comparative Analysis of Information Retrieval Models on Quran Dataset in Cross-Language Information Retrieval Systems." IEEE Access 9 (2021): 169056–67. http://dx.doi.org/10.1109/access.2021.3126168.

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Arunarani, Ar, and D. Manjula Perkinian. "Intelligent Techniques for Providing Effective Security to Cloud Databases." International Journal of Intelligent Information Technologies 14, no. 1 (January 2018): 1–16. http://dx.doi.org/10.4018/ijiit.2018010101.

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Cloud databases have been used in a spate of web-based applications in recent years owing to their capacity to store big data efficiently. In such a scenario, access control techniques implemented in relational databases are so modified as to suit cloud databases. The querying features of cloud databases are designed with facilities to retrieve encrypted data. The performance with respect to retrieval and security needs further improvements to ensure a secured retrieval process. In order to provide an efficient secured retrieval mechanism, a rule- and agent-based intelligent secured retrieval model has been proposed in this paper that analyzes the user, query and contents to be retrieved so as to effect rapid retrieval with decryption from the cloud databases. The major advantage of this retrieval model is in terms of its improved query response time and enhanced security of the storage and retrieval system. From the experiments conducted in this work, proposed model increased storage and access time and, in addition, intensified the security of the data stored in cloud databases.

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Qaiser Abbas. "Classical and Probabilistic Information Retrieval Techniques: An Audit." Lahore Garrison University Research Journal of Computer Science and Information Technology 5, no. 3 (September 12, 2021): 84–91. http://dx.doi.org/10.54692/lgurjcsit.2021.0503221.

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Information retrieval is acquiring particular information from large resources and presenting it according to the user’s need. The incredible increase in information resources on the Internet formulates the information retrieval procedure, a monotonous and complicated task for users. Due to over access of information, better methodology is required to retrieve the most appropriate information from different sources. The most important information retrieval methods include the probabilistic, fuzzy set, vector space, and boolean models. Each of these models usually are used for evaluating the connection between the question and the retrievable documents. These methods are based on the keyword and use lists of keywords to evaluate the information material. In this paper, we present a survey of these models so that their working methodology and limitations are discussed. This is an important understanding because it makes possible to select an information retrieval technique based on the basic requirements. The survey results showed that the existing model for knowledge recovery is somewhere short of what was planned. We have also discussed different areas of IR application where these models could be used.

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Johnstone, Steven, Pedro Contreras, Murtagh Fionn, and Paul Sage. "Peer-to-Peer Information Access and Retrieval." Ingénierie des systèmes d'information 10, no. 1 (February 24, 2005): 101–22. http://dx.doi.org/10.3166/isi.10.1.101-122.

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Carol Tenopir. "Online Systems for Information Access and Retrieval." Library Trends 56, no. 4 (2008): 816–29. http://dx.doi.org/10.1353/lib.0.0005.

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Newman, Anna, and Mark Magennis. "Survey of public access information retrieval systems." Displays 11, no. 4 (October 1990): 193–200. http://dx.doi.org/10.1016/0141-9382(90)90003-c.

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Melucci, Massimo. "QUARTZ - Quantum Information Access and Retrieval Theory." Impact 2019, no. 5 (June 13, 2019): 6–8. http://dx.doi.org/10.21820/23987073.2019.5.6.

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Dissertations / Theses on the topic "Information retrieval and access"

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Htun, Nyi Nyi. "Non-uniform information access in collaborative information retrieval." Thesis, Glasgow Caledonian University, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738690.

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Robbin, Alice, and Martin David. "SIPP ACCESS: Information tools improve access to national longitudinal panel surveys." Reference and Adult Services Division (RASD) of the American Library Association, 1988. http://hdl.handle.net/10150/105545.

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SIPP ACCESS represents an innovation in providing services for statistical data. A computer-based, integrated information system incorporates both the data and information about the data. SIPP ACCESS systematically links the technologies of laser disk, mainframe computer, microcomputer, and electronic networks and applies relational technology to create great efficiencies and lower the costs of storing, managing, retrieving, and transmitting data and information about complex statistical data collections. This information system has been applied to national longitudinal panel surveys. The article describes the reasons why SIPP ACCESS was created to improve access to these complex surveys and provides examples of tools that facilitate access to information about the contents of these large data sets.

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Muresan, Gheorghe. "Using document clustering and language modelling in mediated information retrieval." Thesis, Robert Gordon University, 2002. http://hdl.handle.net/10059/623.

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Our work addresses a well documented problem: users are frequently unable to articulate a query that clearly and comprehensively expresses their information need. This can be attributed to the information need being too ambiguous and not clearly defined in the user's mind, to a lack of knowledge of the domain of interest on the part of the user, to a lack of understanding of a retrieval system's conceptual model, or to an inability to use a certain query syntax. This thesis proposes a software tool that emulates the human search mediator. It helps a user explore a domain of interest, learn its structure, terminology and key concepts, and clarify and refine an information need. It can also help a user generate high-quality queries for searching the World Wide Web or other such large and heterogeneous document collections. Our work was inspired by library studies which have highlighted the role of the librarian in helping the user explore her information need, define the problem to be solved, articulate a formulation of the information need and adapt it for the retrieval system at hand in order to get information. Our approach, mediated access through a clustered collection, is based on an information access environment in which the user can explore a relatively small, well structured, pre-clustered document collection covering a particular subject domain, in order to understand the concepts encompassed and to clarify and refine her information need. At the same time, the user can ostensively indicate clusters and documents of interest so that the system builds a model of the user's topic of interest. Based on this model, the system assists and guides the user's exploration, or generates `mediated queries' that can be used to search other collections. We present the design and evaluation of WebCluster, a system that reifies the concept of mediated retrieval. Additionally, a variety of mediation experiments are presented,which provide guidelines as to which mediation strategies are more appropriate for different types of tasks. A set of experiments is presented that evaluate document clustering's capacity to group together topical documents and support mediation. In this context we propose and experimentally test a new formulation for the cluster hypothesis. We also look at the ability of language models to convey content, to represent topics and to highlight specific concepts in a given context. They are also successfully applied to generate flexible, task-dependent cluster representatives for supporting exploration through browsing and respectively searching. Our experimental results show that mediation has potential to significantly improve user queries and consequently the retrieval effectiveness.

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Isaac, Antoine, and Henk Matthezing. "Representing and Aligning Thesauri for an Integrated Access to Cultural Heritage Resources." UDC Consortium, 2007. http://hdl.handle.net/10150/106244.

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In this paper, we show how Semantic Web techniques can help to solve semantic interoperability issues in the cultural heritage domain. In particular, these techniques can enable integrated access to heterogeneous collections by representing their controlled description vocabularies (e.g. thesauri) in a standardized format â Simple Knowledge Organization System (SKOS). We also present existing automatic alignment procedures that can assist cultural heritage practitioners to connect such vocabularies at the semantic level, building similarity links between the concepts they contain.

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Caviglia, Karen. "Signature file access methodologies for text retrieval : a literature review with additional test cases /." Online version of thesis, 1987. http://hdl.handle.net/1850/10144.

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Sahay, Saurav. "Socio-semantic conversational information access." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42855.

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The main contributions of this thesis revolve around development of an integrated conversational recommendation system, combining data and information models with community network and interactions to leverage multi-modal information access. We have developed a real time conversational information access community agent that leverages community knowledge by pushing relevant recommendations to users of the community. The recommendations are delivered in the form of web resources, past conversation and people to connect to. The information agent (cobot, for community/ collaborative bot) monitors the community conversations, and is 'aware' of users' preferences by implicitly capturing their short term and long term knowledge models from conversations. The agent leverages from health and medical domain knowledge to extract concepts, associations and relationships between concepts; formulates queries for semantic search and provides socio-semantic recommendations in the conversation after applying various relevance filters to the candidate results. The agent also takes into account users' verbal intentions in conversations while making recommendation decision. One of the goals of this thesis is to develop an innovative approach to delivering relevant information using a combination of social networking, information aggregation, semantic search and recommendation techniques. The idea is to facilitate timely and relevant social information access by mixing past community specific conversational knowledge and web information access to recommend and connect users with relevant information. Language and interaction creates usable memories, useful for making decisions about what actions to take and what information to retain. Cobot leverages these interactions to maintain users' episodic and long term semantic models. The agent analyzes these memory structures to match and recommend users in conversations by matching with the contextual information need. The social feedback on the recommendations is registered in the system for the algorithms to promote community preferred, contextually relevant resources. The nodes of the semantic memory are frequent concepts extracted from user's interactions. The concepts are connected with associations that develop when concepts co-occur frequently. Over a period of time when the user participates in more interactions, new concepts are added to the semantic memory. Different conversational facets are matched with episodic memories and a spreading activation search on the semantic net is performed for generating the top candidate user recommendations for the conversation. The tying themes in this thesis revolve around informational and social aspects of a unified information access architecture that integrates semantic extraction and indexing with user modeling and recommendations.

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Knight, Shirlee-ann. "User perceptions of information quality in world wide web information retrieval behaviour." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2007. https://ro.ecu.edu.au/theses/316.

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In less than a generation, the World Wide Web has grown from a relatively small cyber play-ground of academic "geeks" into an 11.5 billion-page collection of heterogeneous, inter-connected, network of information and collective knowledge. As an information environment the World Wide Web is informatically representative of all that is good and bad about the human need to both absorb and transmit knowledge. The 'open' nature of the Web makes instantly available to anyone who can "log-on", a boundless digital library of information, the quality of which cannot be enforced before, during, or even after its publication. Scrutiny of Information Quality (IQ), is therefore left up to those publishers conscientious enough to care about the quality of the information they produce and the users who choose to employ the Web as an information retrieval tool. The following thesis is a qualitative investigation of how the users of information make value-judgments about the information they encounter and retrieve from the Web. Specifically, it examines perceptions of IQ from the perspective of eighty "academic" high-end users, who regularly engage the Web and its search engines to search for and retrieve high-quality information related to their research, teaching and learning. The investigation has adopted an inductive approach in the qualitative analysis of quantitative ( 10,080 separate pieces of user-data) data in the context of such established frameworks as Davis' ( 1986, I 989) Technology Acceptance Model (TAM), and Wang & Strong's ( 1996) contextual IQ framework that conceptualised dimensions of quality into four IQ categories, namely: intrinsic; representational; contextual; and accessibility IQ. Through the detailed analysis of the driving theory behind these, and other associated models of: (I) user IT acceptance; (2) Information Seeking Behaviour (ISB}; and (3) multi–dimensional characteristics of IQ; the researcher has sought to find synergies and develop an innovative framework by which to explore the impact of users' attitudes, expectations and perceptions of IQ on their Web information retrieval behaviours. The findings associated with the thesis are consistent with the proposal of a new Ongoing Technology Acceptance Model (OTAM), which facilitates the measurement of users perception of the predictability of their technology interactions, and has the capacity to more accurately investigate user individual differences. Importantly, the OTAM allows the constructs of the original TAM, along with a new construct “Perception of Interaction" (Pol) to be used to investigate users ongoing use of technologies. Findings associated with user perceptions of information quality are also explored and discussed in relation to a proposed life-cycle model of IQ.

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Hajdu-Barát, Ágnes. "Integration of a thesaurus and Universal Decimal Classification (UDC) to improve subject access: the Hungarian experience." UDC Consortium, 2009. http://hdl.handle.net/10150/199891.

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The paper explores two possible solutions for integrating a thesaurus and a classification scheme, specifically UDC, in order to develop a common platform for subject information retrieval through both systems. The author reports and compares experiences from two Hungarian projects aimed at creating a complex system for combining UDC and thesauri under a homogeneous theoretical framework: MÁTrIkSz (Hungarian Comprehensive Information Retrieval Language Dictionary) and the project of thesaurus construction and implementation in the Hungarian National Library (Széchényi). The role of UDC in these two projects is analyzed with respect to the features supported, classification-based retrieval functionalities, and the perceived advantages in subject access and knowledge organization. The author explains the methodology of her research based on an examination of structured and well-documented examples and literature research into the theory of UDC and its use. The paper underlines the importance of cognition as the basis for concept-building and points out some possibilities and expedients for the integration of thesauri and the UDC.

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Boström, Anna. "Cross-Language Information Retrieval : En studie av lingvistiska problem och utvecklade översättningsmetoder för lösningar angående informationsåtervinning över språkliga gränser." Thesis, Umeå University, Sociology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1017.

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Syftet med denna uppsats är att undersöka problem samt lösningar i relation till informationsåtervinning över språkliga gränser. Metoden som har använts i uppsatsen är studier av forskningsmaterial inom lingvistik samt främst den relativt nya forskningsdisciplinen Cross-Language Information Retrieval (CLIR). I uppsatsen hävdas att världens alla olikartade språk i dagsläget måste betraktas som ett angeläget problem för informationsvetenskapen, ty språkliga skillnader utgör ännu ett stort hinder för den internationella informationsåtervinning som tekniska framsteg, uppkomsten av Internet, digitala bibliotek, globalisering, samt stora politiska förändringar i ett flertal länder runtom i världen under de senaste åren tekniskt och teoretiskt sett har möjliggjort. I uppsatsens första del redogörs för några universellt erkända lingvistiska skillnader mellan olika språk – i detta fall främst med exempel från europeiska språk – och vanliga problem som dessa kan bidra till angående översättningar från ett språk till ett annat. I uppsatsen hävdas att dessa skillnader och problem även måste anses som relevanta när det gäller informationsåtervinning över språkliga gränser. Uppsatsen fortskrider med att ta upp ämnet Cross-Language Information Retrieval (CLIR), inom vilken lösningar på flerspråkighet och språkskillnader inom informationsåtervinning försöker utvecklas och förbättras. Målet med CLIR är att en informationssökare så småningom skall kunna söka information på sitt modersmål men ändå hitta relevant information på flera andra språk. Ett ytterligare mål är att den återfunna informationen i sin helhet även skall kunna översättas till ett för sökaren önskat språk. Fyra olika översättningsmetoder som i dagsläget finns utvecklade inom CLIR för att automatiskt kunna översätta sökfrågor, ämnesord, eller, i vissa fall, hela dokument åt en informationssökare med lite eller ingen alls kunskap om det språk som han eller hon söker information på behandlas därefter. De fyra metoderna – identifierade som maskinöversättning, tesaurus- och ordboksöversättning, korpusbaserad översättning, samt ingen översättning – diskuteras även i relation till de lingvistiska problem och skillnader som har tagits upp i uppsatsens första del. Resultatet visar att språk är någonting mycket komplext och att de olika metoderna som hittills finns utvecklade ofta kan lösa något eller några av de uppmärksammade lingvistiska översättningssvårigheterna. Dock finns det inte någon utvecklad metod som i dagsläget kan lösa samtliga problem. Uppsatsen uppmärksammar emellertid även att CLIR-forskarna i hög grad är medvetna om de nuvarande metodernas uppenbara begränsningar och att man prövar att lösa detta genom att försöka kombinera flera olika översättningsmetoder i ett CLIR-system. Avslutningsvis redogörs även för CLIR-forskarnas förväntningar och förhoppningar inför framtiden.

This essay deals with information retrieval across languages by examining different types of literature in the research areas of linguistics and multilingual information retrieval. The essay argues that the many different languages that co-exist around the globe must be recognised as an essential obstacle for information science. The language barrier today remains a major impediment for the expansion of international information retrieval otherwise made technically and theoretically possible over the last few years by new technical developments, the Internet, digital libraries, globalisation, and moreover many political changes in several countries around the world. The first part of the essay explores linguistic differences and difficulties related to general translations from one language to another, using examples from mainly European languages. It is suggested that these problems and differences also must be acknowledged and regarded as highly important when it comes to information retrieval across languages. The essay continues by reporting on Cross-Language Information Retrieval (CLIR), a relatively new research area where methods for multilingual information retrieval are studied and developed. The object of CLIR is that people in the future shall be able to search for information in their native tongue, but still find relevant information in more than one language. Another goal for the future is the possibility to translate complete documents into a person’s language of preference. The essay reports on four different CLIR-methods currently established for automatically translating queries, subject headings, or, in some cases, complete documents, and thus aid people with little or no knowledge of the language in which he or she is looking for information. The four methods – identified as machine translation, translations using a multilingual thesaurus or a manually produced machine readable dictionary, corpus-based translation, and no translation – are discussed in relation to the linguistic translation difficulties mentioned in the paper’s initial part. The conclusion drawn is that language is exceedingly complex and that while the different CLIR-methods currently developed often can solve one or two of the acknowledged linguistic difficulties, none is able to overcome all. The essay also show, however, that CLIR-scientists are highly aware of the limitations of the different translation methods and that many are trying to get to terms with this by incorporating several sources of translation in one single CLIR-system. The essay finally concludes by looking at CLIR-scientists’ expectations and hopes for the future.

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Radley, Johannes Jurgens. "Pseudo-random access compressed archive for security log data." Thesis, Rhodes University, 2015. http://hdl.handle.net/10962/d1020019.

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We are surrounded by an increasing number of devices and applications that produce a huge quantity of machine generated data. Almost all the machine data contains some element of security information that can be used to discover, monitor and investigate security events.The work proposes a pseudo-random access compressed storage method for log data to be used with an information retrieval system that in turn provides the ability to search and correlate log data and the corresponding events. We explain the method for converting log files into distinct events and storing the events in a compressed file. This yields an entry identifier for each log entry that provides a pointer that can be used by indexing methods. The research also evaluates the compression performance penalties encountered by using this storage system, including decreased compression ratio, as well as increased compression and decompression times.

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Books on the topic "Information retrieval and access"

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Urbana-Champaign), Clinic on Library Applications of Data Processing (33rd 1996 University of Illinois at. Digital image access & retrieval. [Urbana-Champaign]: Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, 1997.

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Sakai, Tetsuya, Douglas W. Oard, and Noriko Kando, eds. Evaluating Information Retrieval and Access Tasks. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5554-1.

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Peters, Carol, Giorgio Maria Di Nunzio, Mikko Kurimo, Thomas Mandl, Djamel Mostefa, Anselmo Peñas, and Giovanna Roda, eds. Multilingual Information Access Evaluation I. Text Retrieval Experiments. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15754-7.

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Hancock-Beaulieu, Micheline. Widening access to Okapi. [Wetherby]: Library and Information Commission, 2000.

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Hunter, J. NASA access mechanism: Graphical user interface information retrieval system. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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Andrés, Gonzáles Rafael, Chen Nong 1976-, and Dahanayake Ajantha 1954-, eds. Personalized information retrieval and access: Concepts, methods and practices. Hershey [Pa.]: Information Science Reference, 2008.

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Sale-Schon, Barbara. Pathways: How to access electronic information. Toronto: Book and Periodical Council, 1996.

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Japan) NTCIR Workshop Meeting (7th 2008 Tokyo. NTCIR Workshop 7 Meeting: Proceedings of the 7th NTCIR Workshop Meeting on evaluation of information access technologies : information retrieval, question answering and cross-lingual information access. Tokyo: National Institute of Informatics, 2008.

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Slowinski, Joseph. Using the web to access online education periodicals. [Syracuse, NY]: Clearinghouse on Information & Technology, 1999.

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Devarajan, G. Information access, tools, services and systems. New Delhi: Ess Ess Publications, 2011.

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Book chapters on the topic "Information retrieval and access"

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Peters, Carol, and Páraic Sheridan. "Multilingual Information Access." In Lectures on Information Retrieval, 51–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45368-7_3.

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Peters, Carol, Martin Braschler, and Paul Clough. "Applications of Multilingual Information Access." In Multilingual Information Retrieval, 171–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23008-0_6.

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Aizawa, Akiko, and Michael Kohlhase. "Mathematical Information Retrieval." In Evaluating Information Retrieval and Access Tasks, 169–85. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5554-1_12.

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Yoshioka, Masaharu, and Hideo Joho. "Temporal Information Access." In Evaluating Information Retrieval and Access Tasks, 127–41. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5554-1_9.

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Petri, Matthias, Alistair Moffat, P. C. Nagesh, and Anthony Wirth. "Access Time Tradeoffs in Archive Compression." In Information Retrieval Technology, 15–28. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28940-3_2.

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Garcia, Steven, and Andrew Turpin. "Efficient Query Evaluation Through Access-Reordering." In Information Retrieval Technology, 106–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880592_9.

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McNamee, Paul, and James Mayfield. "Scalable Multilingual Information Access." In Advances in Cross-Language Information Retrieval, 207–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45237-9_17.

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Amati, Giambattista, Giuseppe Amodeo, Marco Bianchi, Carlo Gaibisso, and Giorgio Gambosi. "A Uniform Theoretic Approach to Opinion and Information Retrieval." In Intelligent Information Access, 83–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14000-6_5.

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Iwayama, Makoto, Atsushi Fujii, and Hidetsugu Nanba. "Challenges in Patent Information Retrieval." In Evaluating Information Retrieval and Access Tasks, 49–69. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5554-1_4.

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Hawking, David. "Very Large Scale Information Retrieval." In Text- and Speech-Triggered Information Access, 106–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45115-0_5.

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Conference papers on the topic "Information retrieval and access"

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Suma, Adindla. "Dialogue – Driven Information Retrieval." In Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009). BCS Learning & Development, 2009. http://dx.doi.org/10.14236/ewic/fdia2009.16.

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Zhao, Yue, and Claudia Hauff. "Temporal Information Retrieval Revisited." In Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015). BCS Learning & Development, 2015. http://dx.doi.org/10.14236/ewic/fdia2015.6.

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"Session details: Information access and retrieval." In SAC07: The 2007 ACM Symposium on Applied Computing, edited by Fabio Crestani and Gabriella Pasi. New York, NY, USA: ACM, 2007. http://dx.doi.org/10.1145/3246509.

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Bordogna, Gloria. "Session details: Information access and retrieval." In SAC '08: The 2008 ACM Symposium on Applied Computing, edited by Gabriella Pasi. New York, NY, USA: ACM, 2008. http://dx.doi.org/10.1145/3260568.

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Crestani, Fabio, and Gabriella Pasi. "Session details: Information access and retrieval." In SAC02: 2002 ACM Symposium on Applied Computing. New York, NY, USA: ACM, 2002. http://dx.doi.org/10.1145/3253206.

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Crestani, Fabio, and Gabriella Pasi. "Session details: Information access and retrieval." In SAC03: ACM Symposium on Applied Computing. New York, NY, USA: ACM, 2003. http://dx.doi.org/10.1145/3259414.

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Vedeshin, A. "Advanced Information Retrieval from Web Pages." In BCS IRSG Symposium: Future Directions in Information Access 2007. BCS Learning & Development, 2007. http://dx.doi.org/10.14236/ewic/fdia2007.12.

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Banawan, Karim, and Sennur Ulukus. "Private Information Retrieval from Multiple Access Channels." In 2018 IEEE Information Theory Workshop (ITW). IEEE, 2018. http://dx.doi.org/10.1109/itw.2018.8613517.

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Pasi, Gabriella, and Gloria Bordogna. "Special track on Information Access and Retrieval." In the 2008 ACM symposium. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1363686.1363939.

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Crestani, Fabio, and Gabriella Pasi. "Session details: Information access and retrieval (IAR)." In SAC06: The 2006 ACM Symposium on Applied Computing. New York, NY, USA: ACM, 2006. http://dx.doi.org/10.1145/3245480.

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Reports on the topic "Information retrieval and access"

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Jha, Somesh, Vitaly Shmatikov, and Matthew Fredrikson. Private Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada536856.

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Knoblock, Craig A., Yigal Arens, and Chu-Nan Hsu. Cooperating Agents for Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada285887.

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Hoeferlin, David M., and Stephen A. Thorn. Crosslingual Audio Information Retrieval Development. Fort Belvoir, VA: Defense Technical Information Center, April 2009. http://dx.doi.org/10.21236/ada539725.

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Newitt, L. R., G. V. Haines, and R. L. Coles. The magnetic information retrieval program. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/225655.

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Slavin, Jim. Close Access Information Operations. Fort Belvoir, VA: Defense Technical Information Center, April 2000. http://dx.doi.org/10.21236/ada378025.

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Decleir, Cyril, Mohand-Saïd Hacid, and Jacques Kouloumdjian. A Database Approach for Modeling and Querying Video Data. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.90.

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Abstract:

Indexing video data is essential for providing content based access. In this paper, we consider how database technology can offer an integrated framework for modeling and querying video data. As many concerns in video (e.g., modeling and querying) are also found in databases, databases provide an interesting angle to attack many of the problems. From a video applications perspective, database systems provide a nice basis for future video systems. More generally, database research will provide solutions to many video issues even if these are partial or fragmented. From a database perspective, video applications provide beautiful challenges. Next generation database systems will need to provide support for multimedia data (e.g., image, video, audio). These data types require new techniques for their management (i.e., storing, modeling, querying, etc.). Hence new solutions are significant. This paper develops a data model and a rule-based query language for video content based indexing and retrieval. The data model is designed around the object and constraint paradigms. A video sequence is split into a set of fragments. Each fragment can be analyzed to extract the information (symbolic descriptions) of interest that can be put into a database. This database can then be searched to find information of interest. Two types of information are considered: (1) the entities (objects) of interest in the domain of a video sequence, (2) video frames which contain these entities. To represent these information, our data model allows facts as well as objects and constraints. We present a declarative, rule-based, constraint query language that can be used to infer relationships about information represented in the model. The language has a clear declarative and operational semantics. This work is a major revision and a consolidation of [12, 13].

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Bader, Brett William, Peter Chew, Ahmed Abdelali, and Tamara Gibson Kolda. Cross-language information retrieval using PARAFAC2. Office of Scientific and Technical Information (OSTI), May 2007. http://dx.doi.org/10.2172/908061.

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Liu, Xiaoyong, and W. B. Croft. Statistical Language Modeling for Information Retrieval. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada440321.

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Franz, Martin, J. S. McCarley, and Wei-Jing Zhu. English-Chinese Information Retrieval at IBM. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada456312.

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Lynch, C. Using the Z39.50 Information Retrieval Protocol. RFC Editor, December 1994. http://dx.doi.org/10.17487/rfc1729.

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