Academic literature on the topic 'Web (Information retrieval system) – Science'

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Journal articles on the topic "Web (Information retrieval system) – Science"

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T, Padmavathi. "Comparative Analysis of Information Retrieval using Ontology Based vs Traditional Information Systems in Food Science Domain." DESIDOC Journal of Library & Information Technology 40, no. 02 (2020): 437–44. http://dx.doi.org/10.14429/djlit.40.02.15213.

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The current methods of searching and information retrieval are imprecise, often yielding results in tens of thousands of web pages. Extraction of the actual information needed often requires extensive manual browsing of retrieved documents. In order to address these drawbacks, this paper introduces an implementation in the field of food science of the ontology-based information retrieval system, and comparison is made with conventional information systems. The ontology of Food Semantic Web Knowledge Base (FSWKB) was built using the Protégé framework which supports two main models of ontology through the editors Protégé-Frames and Protégé-OWL. The FSWKB is composed of two heterogeneous ontologies, and these are merged and processed on a separate server application making use of the Apache Jena Fuseki an SPARQL server offering SPARQL endpoint. The experimental results indicated that ontology-based information systems are more effective in terms of their retrieval capability compared to the more conventional information retrieval systems. The retrieval effectiveness was measured in terms of precision and recall. The results of the work showed that traditional search results in average precision and recall levels of 0.92 and 0.18. The ontology-based test for precision and recall has average rates of 0.96 and 0.97.
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Buarki, Hanadi, and Bashaer Alkhateeb. "Use of hashtags to retrieve information on the web." Electronic Library 36, no. 2 (2018): 286–304. http://dx.doi.org/10.1108/el-01-2017-0011.

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Purpose This paper aims to find out how people use hashtags as a medium of information retrieval and dissemination, and how they are used in social media tools, such as Instagram. Design/methodology/approach A quantitative question estimated the participants’ use of the hashtags during the workshop. Statistical data of the participants and their posts were collected from social network analysis tools. The posts that included the workshop’s designated hashtags were retrieved, recorded, coded and analysed to collect qualitative data. Findings In total, 74 (46 per cent) participants used the workshop’s hashtags to share posts, the retrieval of the hashtags declined by time and Google search engine retrieved the maximum results. It was found that a hashtag would be common when associated with descriptors, and that its use depends on its popularity, followers and its survival time. Finally, hashtags connect people, allow them to express their enthusiasm to reveal common interests and networks them through social media tools such as Instagram. Research limitations/implications The research limitations were in relation to the participants’ demographic information, the non-identification of their gender and hashtags being misspelt. Practical implications The research project summarises the experiences that social media has made connecting easier through the right use of hashtags by providing 24/7 free feedback, the possibility to exchange ideas and by their involvement in promoting and organising events. It also indicates interaction among people sharing the same interest by retrieving subject-based hashtags. Originality/value When retrieving information related to hashtags, it is recommended that multi-retrieval systems, social media tools and search engines should be consulted and not depend on a solo system or tool. Future research is recommended in search for a multi-retrieval social media and search engine tool that standardises the use of hashtags and will retrieve information from different platforms.
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ICHIKO, Midori. "Information Retrieval Systems. Using the Web of Science." Igaku Toshokan 46, no. 1 (1999): 36–41. http://dx.doi.org/10.7142/igakutoshokan.46.36.

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Johnson, David, and Myke Gluck. "Geographic Information Retrieval and the World Wide Web: A Match Made in Electronic Space." Cartographic Perspectives, no. 26 (March 1, 1997): 13–26. http://dx.doi.org/10.14714/cp26.717.

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This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic information are: query languages that employ icons and natural language, automatic indexing of geographic information, and standardization of geographic information. One area that has seen an explosion of geographic information retrieval systems (GIR's) is the World Wide Web (WWW). The final section of this article discusses how seven WWW GIR's solve the the problem of matching the user's information needs to the information in the system.
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Li, M., and M. Qi. "MAPBOT: a Web based map information retrieval system." Information and Software Technology 45, no. 10 (2003): 691–98. http://dx.doi.org/10.1016/s0950-5849(03)00082-x.

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Toms, Elaine G., Luanne Freund, and Cara Li. "WiIRE: the Web interactive information retrieval experimentation system prototype." Information Processing & Management 40, no. 4 (2004): 655–75. http://dx.doi.org/10.1016/j.ipm.2003.08.006.

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Chawla, Suruchi. "Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web Search." Journal of Information Technology Research 11, no. 2 (2018): 110–27. http://dx.doi.org/10.4018/jitr.2018040107.

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The main challenge to effective information retrieval is to optimize the page ranking in order to retrieve relevant documents for user queries. In this article, a method is proposed which uses hybrid of genetic algorithms (GA) and trust for generating the optimal ranking of trusted clicked URLs for web page recommendations. The trusted web pages are selected based on clustered query sessions for GA based optimal ranking in order to retrieve more relevant documents up in ranking and improves the precision of search results. Thus, the optimal ranking of trusted clicked URLs recommends relevant documents to web users for their search goal and satisfy the information need of the user effectively. The experiment was conducted on a data set captured in three domains, academics, entertainment and sports, to evaluate the performance of GA based optimal ranking (with/without trust) and search results confirms the improvement of precision of search results.
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Lewandowski, Dirk. "Web searching, search engines and Information Retrieval." Information Services & Use 25, no. 3-4 (2006): 137–47. http://dx.doi.org/10.3233/isu-2005-253-402.

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Bond, Carol S. "Web users' information retrieval methods and skills." Online Information Review 28, no. 4 (2004): 254–59. http://dx.doi.org/10.1108/14684520410553741.

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When trying to locate information on the Web people are faced with a variety of options. This research reviewed how a group of health related professionals approached the task of finding a named document. Most were eventually successful, but the majority encountered problems in their search techniques. Even experienced Web users had problems when working with a different interface to normal, and without access to their favourites. No relationship was found between the number of years' experience Web users had and the efficiency of their searching strategy. The research concludes that if people are to be able to use the Web quickly and efficiently as an effective information retrieval tool, as opposed to a recreational tool to surf the Internet, they need to have both an understanding of the medium and the tools, and the skills to use them effectively, both of which were lacking in the majority of participants in this study.
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Cacheda, Fidel, Vreixo Formoso, and Victor Carneiro. "Performance Analysis of Distributed Web Information Retrieval Systems." IEEE Latin America Transactions 5, no. 6 (2007): 479–85. http://dx.doi.org/10.1109/tla.2007.4395238.

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Dissertations / Theses on the topic "Web (Information retrieval system) – Science"

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Li, Fu Min. "Collecting web data for social science research." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3953492.

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Tang, Bo. "WEBDOC: AN AUTOMATED WEB DOCUMENT INDEXING SYSTEM." MSSTATE, 2002. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11052002-213723/.

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This thesis describes WebDoc, an automated system that classifies Web documents according to the Library of Congress classification system. This work is an extension of an early version of the system that successfully generated indexes for journal articles. The unique features of Web documents, as well as how they will affect the design of a classification system, are discussed. We argue that full-text analysis of Web documents is inevitable, and contextual information must be used to assist the classification. The architecture of the WebDoc system is presented. We performed experiments on it with and without the assistance of contextual information. The results show that contextual information improved the system?s performance significantly.
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Weldeghebriel, Zemichael Fesahatsion. "Evaluating and comparing search engines in retrieving text information from the web." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/53740.

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Thesis (MPhil)--Stellenbosch University, 2004<br>ENGLISH ABSTRACT: With the introduction of the Internet and the World Wide Web (www), information can be easily accessed and retrieved from the web using information retrieval systems such as web search engines or simply search engines. There are a number of search engines that have been developed to provide access to the resources available on the web and to help users in retrieving relevant information from the web. In particular, they are essential for finding text information on the web for academic purposes. But, how effective and efficient are those search engines in retrieving the most relevant text information from the web? Which of the search engines are more effective and efficient? So, this study was conducted to see how effective and efficient search engines are and to see which search engines are most effective and efficient in retrieving the required text information from the web. It is very important to know the most effective and efficient search engines because such search engines can be used to retrieve a higher number of the most relevant text web pages with minimum time and effort. The study was based on nine major search engines, four search queries and relevancy judgments as relevant/partly-relevanUnon-relevant. Precision and recall were calculated based on the experimental or test results and these were used as basis for the statistical evaluation and comparisons of the retrieval effectiveness of the nine search engines. Duplicated items and broken links were also recorded and examined separately and were used as an additional measure of search engine effectiveness. A response time was also recorded and used as a base for the statistical evaluation and comparisons of the retrieval efficiency of the nine search engines. Additionally, since search engines involve indexing and searching in the information retrieval processes from the web, this study first discusses, from the theoretical point of view, how the indexing and searching processes are performed in an information retrieval environment. It also discusses the influences of indexing and searching processes on the effectiveness and efficiency of information retrieval systems in general and search engines in particular in retrieving the most relevant text information from the web.<br>AFRIKAANSE OPSOMMING: Met die koms van die Internet en die Wêreldwye Web (www) is inligting maklik bekombaar. Dit kan herwin word deur gebruik te maak van inligtingherwinningsisteme soos soekenjins. Daar is 'n hele aantal sulke soekenjins wat ontwikkel is om toegang te verleen tot die hulpbronne beskikbaar op die web en om gebruikers te help om relevante inligting vanaf die web in te win. Dit is veral noodsaaklik vir die verkryging van teksinligting vir akademiese doeleindes. Maar hoe effektief en doelmatig is die soekenjins in die herwinning van die mees relevante teksinligting vanaf die web? Watter van die soekenjins is die effektiefste? Hierdie studie is onderneem om te kyk watter soekenjins die effektiefste en doelmatigste is in die herwinning van die nodige teksinligting. Dit is belangrik om te weet watter soekenjin die effektiefste is want so 'n enjin kan gebruik word om 'n hoër getal van die mees relevante tekswebblaaie met die minimum van tyd en moeite te herwin. Heirdie studie is baseer op die sewe hoofsoekenjins, vier soektogte, en toepasliksheidsoordele soos relevant /gedeeltelik relevant/ en nie- relevant. Presiesheid en herwinningsvermoë is bereken baseer op die eksperimente en toetsresultate en dit is gebruik as basis vir statistiese evaluasie en vergelyking van die herwinningseffektiwiteit van die nege soekenjins. Gedupliseerde items en gebreekte skakels is ook aangeteken en apart ondersoek en is gebruik as bykomende maatstaf van effektiwiteit. Die reaksietyd is ook aangeteken en is gebruik as basis vir statistiese evaluasie en die vergelyking van die herwinningseffektiwiteit van die nege soekenjins. Aangesien soekenjins betrokke is by indeksering en soekprosesse, bespreek hierdie studie eers uit 'n teoretiese oogpunt, hoe indeksering en soekprosesse uitgevoer word in 'n inligtingherwinningsomgewing. Die invloed van indeksering en soekprosesse op die doeltreffendheid van herwinningsisteme in die algemeen en veral van soekenjins in die herwinning van die mees relevante teksinligting vanaf die web, word ook bespreek.
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Reyes, Brenda. "A Grounded Theory of Information Quality in Web Archives." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1248497/.

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Web archiving is the practice of preserving websites as a historical record. It is a technologically-challenging endeavor that has as its goal the creation of a high-quality archived website that looks and behaves exactly like the original website. Despite the importance of the notion of quality, comprehensive definitions of Information Quality (IQ) in a web archive have yet to be developed. Currently, the field has no single, comprehensive theory that describes what is a high-quality or low-quality archived website. Furthermore, most of the research that has been conducted on web archives has been system-centered and not user-centered, leading to a dearth of information on how humans perceive web archives. This dissertation seeks to remedy this problem by presenting a user-centered grounded theory of IQ for web archives. It answers two research questions: 1) What is the definition of information quality (IQ) for web archives? and 2) How can IQ in a web archive be measured? The theory presented is grounded on data obtained from users of the Internet Archive's Archive-It system, the largest web-archiving subscription service in the United States. Also presented are mathematical definitions for each dimension of IQ, which can then be applied to measure the quality of a web archive.
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Gupta, Chaitali. "Web services query matchmaking with automated knowledge acquisition." Diss., Online access via UMI:, 2007.

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Baxter, Claude Brian. "A web-based, enterprise-wide, integrated information system as the source of high quality information for decision-making processes in the Department of Education in South Africa." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/16474.

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Thesis (MPhil)--Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: The Education Management Information System (EMIS) is the business unit that is responsible for information management and business reporting in the Department of Education. EMIS finds it difficult to provide high quality information to the Department of Education internally and its stakeholders externally and attributes the reduction of the quality of its education information to factors such as the organisational nature of the South African education system, the lack of information management standards and practices, the low level of information technology skills in EMIS, the existence of a multitude of disparate information systems in the Department of Education and Provincial Education Departments, and the apparent discontinuity in the flow of information from education institution level to the national department and back. Most research in information management confirmed the state of EMIS as being typical of most large organisations whose functioning depends on the quality of their information. The factors that influence information quality in EMIS had been identified as accuracy, timeliness, consistency and relevance of the information. A “quick-fix” to the information problem is not possible but research in information systems management indicates that there are trends in the electronic business arena that may provide an acceptable solution to most of the problems encountered by EMIS. This report investigates the nature of EMIS problems in terms of information management and investigates possible solutions to the problems. The investigation is done within the framework of acknowledged information systems planning process and aligned to the process model of information management. An exposition is given on the theory pertaining to information management, information systems and information systems management to give insight into the particular fields of study and their interdependencies. A section on business intelligence is included since business reporting is the primary function of EMIS. Investigations into information systems development indicate an exponential growth in electronic technology development specifically the Internet and the Web. The information systems plan provides the framework or set of guidelines to determine the information systems solution that will be able to solve their problems. The research report included four stages of the information systems plan framework. The first stage pertains to the identification of minimum information required from the education sector and supporting sectors to provide high quality education information for decision-making and planning. The second stage determines and benchmarks the state of EMIS in terms of information management processes. The third stage investigates the trends in electronic business and specifically electronic information systems applications. Current best practices indicate that a possible solution to information management problems in large organisations is the application of a web-based, electronic, enterprise-wide, integrated information system.<br>AFRIKAANSE OPSOMMING: EMIS as ‘n besigheidseenheid in die nasionale Onderwysdepartement is verantwoordelik vir inligtingsbestuur en verslaggewing. EMIS vind dit moeilik om hoë kwaliteit inligting intern aan die onderwysdepartement en ekstern aan sy rolspelers te verskaf. en skryf die verlaging in die kwaliteit van inligting toe aan faktore soos die organisasiestruktuur van die Suid Afrikaanse onderwysstelsel, die gebrek aan standaarde vir inligtingsbestuur en -praktyke, die lae vlak van inligtingstegnologiekennis van die personeel in EMIS, die bestaan van ‘n magdom van ongelyksoortige inligtingstelsels in die nasionale onderwysdepartement en provinsiale onderwysdepartemente en die sigbare diskontinuïteit in die vloei van inligting vanaf die onderwysinrigtings na die nasionale onderwysdepartement en terug. Die meeste navorsing in inligtingsbestuur bevestig dat die toestand waarin EMIS verkeer tipies is van die meeste groot organisasies wie se funksionering van die kwaliteit van hulle inligting afhang. Die faktore wat ‘n rol speel in die kwaliteit van inligting in EMIS word geïdentifiseer as akkuraatheid, tydigheid, uniformiteit en geldigheid. ‘n Vinnige oplossing vir die inligtingsprobleem is nie moontlik nie maar navorsing in inligtingstelselsbestuur dui aan dat daar tendense in die rigting van elektroniese besigheidarena is wat aanvaarbare oplossings bied vir die meeste van EMIS se probleme. Hierdie verslag ondersoek die aard van EMIS se probleme in terme van inligtingsbestuur en ondersoek moontlike oplossings vir die probleme. Die ondersoek word gedoen binne die raamwerk van ‘n aanvaarde inligtingstelsel-beplanningsproses wat opgestel is om binne die prosesmodel vir inligtingsbestuur te val. ‘n Uiteensetting van die teorie ten opsigte van inligtingsbestuur, inligtingstelsels en inligtingstelselbestuur word gegee ten einde insig oor die betrokke studieterreine en hul interafhanklikheid te gee. ‘n Afdeling oor besigheidsintelligensie word ingesluit aangesien besigheidsverslaggewing die primêre funksie van EMIS is. ‘n Ondersoek na inligtingstelselontwikkeling dui op ‘n eksponensiële groei in die ontwikkeling van die elektroniese tegnologiebedryf en spesifiek die Internet en Web. Die inligtingstelselsplan voorsien die raamwerk of riglyne waarbinne die inligtingstelseloplossing gesoek kan word. Die navorsingsverslag sluit vier fases van die raamwerk van die inligtingstelselsplan in. Die eerste fase het te make met die identifisering van die minimum inligting wat nodig is vir besluitneming en beplanning. Die tweede fase stel die toestand van EMIS ten opsigte van inligtingsbestuur vas. Die derde fase ondersoek die neigings in elektroniese besigheidstransaksies en toepassings. Huidige beste praktyke dui aan dat ‘n moontlike oplossing vir die inligtingsbestuurprobleme van groot organisasies die toepassing van ‘n web-gebaseerde, elektroniese, geïntegreerde inligtingstelsel, wat al die komponente van die onderneming insluit, is.
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Vogt, Karen Fay. "The use of technology in meeting science reform criteria: Can web-based instruction promote scientific literacy?" CSUSB ScholarWorks, 1999. https://scholarworks.lib.csusb.edu/etd-project/1861.

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Science educators are currently facing the challenge of reforming the practices of science education. Publications of various science and educational organizations have established new criteria for accomplishing this goal. The new goal of science educators is scientific literacy for all.
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Connan, James. "Collection, evaluation and selection of scientific literature : machine learning, bibliometrics and the World Wide Web." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/49886.

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Thesis (MSc)--University of Stellenbosch, 2004.<br>ENGLISH ABSTRACT: We present a system that uses statistical machine learning to identify and extract bibliography information from scientific literature. Techniques for finding and gathering useful information from the ever growing volume of knowledge on the World Wide Web (WWW), are investigated. We use hidden Markov models both for recognition of bibliography styles and extraction of bibliographic information with an accuracy of up to 97%. The accuracy with which we are able to extract this information allows us to present a case study in which we apply methods of citation analysis to information extracted from three areas of machine learning. We use this information to identify core sets of papers that have made significant contributions to the fields of hidden Markov models, neural networks and recurrent neural networks.<br>AFRIKAANSE OPSOMMING: Ons bied 'n sisteem aan wat gebruik maak van statistiese masjiene wat leer om bibliografiese inligting uit wetenskaplikke literatuur te identifiseer en ontgin. Tegnieke wat aangewend word vir die verkenning en insameling van nuttige inligting vanaf die snel groeiende kennisbron van die WWW, word ondersoek. Ons gebruik verskuilde Markov modelle vir die herkenning van verwysingsstyl en ontginning van verwysingsinligting met 'n akuraatheidspeil van to 97%. Hierdie hoë ontginningsakuraatheid stelons in staat om 'n toepassing van die tegniek op die veld van masjiene wat leer toe te pas. Ons rapporteer hoe ons die tegnieke gebruik het om literatuur wat beduidende bydraes in die velde van verskuilde Markov modelle, neurale netwerke en terugkerende neurale netwerke, te identifiseer.
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Paul, Nathan J. "Creating a user-friendly multiple natural disaster database with a functioning display using Google mapping systems a thesis presented to the Department of Geology and Geography in candidacy for the degree of Master of Science /." Diss., Maryville, Mo. : Northwest Missouri State University, 2009. http://www.nwmissouri.edu/library/theses/paulnathanj/index.htm.

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Thesis (M.S.)--Northwest Missouri State University, 2009.<br>The full text of the thesis is included in the pdf file. Title from title screen of full text.pdf file (viewed on April 9, 2010) Includes bibliographical references.
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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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Books on the topic "Web (Information retrieval system) – Science"

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1969-, Badr Youakim, Abraham Ajith 1968-, Hassanien Aboul Ella, and SpringerLink (Online service), eds. Emergent Web Intelligence: Advanced Information Retrieval. Springer-Verlag London Limited, 2010.

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Newsome, Mark Ronald. Simplifying web access to remote scientific databases. Oregon State University, Dept. of Computer Science, 1997.

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Poppe, Barbara. Science on the web: Web activities using scientific data. Space Environment Center, 1998.

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Abramowicz, Witold. Knowledge-Based Information Retrieval and Filtering from the Web. Springer US, 2003.

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(Ricardo), Baeza-Yates R., and SpringerLink (Online service), eds. Advanced Topics in Information Retrieval. Springer-Verlag Berlin Heidelberg, 2011.

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Francesco, Guerra, Velegrakis Yannis, and SpringerLink (Online service), eds. Semantic Search over the Web. Springer Berlin Heidelberg, 2012.

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Dubois, J. E., and Nahum Gershon. The information revolution: Impact on science and technology. Springer, 2012.

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Advances in multimedia and network information system technologies. Springer, 2010.

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Boualem, Benatallah, ed. Web information systems engineering-- WISE 2007: 8th International Conference on Web Information Systems Engineering, Nancy, France, December 3-7, 2007 : proceedings. Springer, 2007.

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ISWC 2004 (2004 Hiroshima-shi, Japan). The Semantic Web, ISWC 2004: Third International Semantic Web Conference, Hiroshima, Japan, November 7-11, 2004 : proceedings. Springer, 2004.

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Book chapters on the topic "Web (Information retrieval system) – Science"

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Kim, Tae-Hyun, Dong-Chul Park, Woong Huh, et al. "A Web Information Retrieval System." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18134-4_81.

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Hajeer, Safaa I., Rasha M. Ismail, Nagwa L. Badr, and Mohamed Fahmy Tolba. "An Adaptive Information Retrieval System for Efficient Web Searching." In Communications in Computer and Information Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13461-1_44.

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Li, Maozhen, Sheng Zhou, and Christopher B. Jones. "Multi-agent Systems for Web-Based Map Information Retrieval." In Geographic Information Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45799-2_12.

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Carrillo-Ramos, Angela, Jérôme Gensel, Marlène Villanova-Oliver, and Hervé Martin. "Adapted Information Retrieval in Web Information Systems Using PUMAS." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11916291_17.

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Gu, Mi Sug, Jeong Hee Hwang, and Keun Ho Ryu. "Design and Implement of Customer Information Retrieval System Based on Semantic Web." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37275-2_46.

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Makvana, Kamlesh, Jay Patel, Parth Shah, and Amit Thakkar. "Comprehensive Analysis of Personalized Web Search Engines Through Information Retrieval Feedback System and User Profiling." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3143-5_14.

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Mateos, Montserrat, and Carlos G. Figuerola. "Architecture of an Hybrid System for Experimentation on Web Information Retrieval Incorporating Clustering Techniques." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74827-4_54.

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Sowunmi, Olaperi Yeside, Sanjay Misra, Nicholas Omoregbe, Robertas Damasevicius, and Rytis Maskeliūnas. "A Semantic Web-Based Framework for Information Retrieval in E-Learning Systems." In Data Science and Analytics. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8527-7_9.

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Park, Joohyoun, and Jongho Nang. "Content Based Web Image Retrieval System Using Both MPEG-7 Visual Descriptors and Textual Information." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-69423-6_64.

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Purpura, Alberto, Karolina Buchner, Gianmaria Silvello, and Gian Antonio Susto. "Neural Feature Selection for Learning to Rank." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72240-1_34.

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AbstractLEarning TO Rank (LETOR) is a research area in the field of Information Retrieval (IR) where machine learning models are employed to rank a set of items. In the past few years, neural LETOR approaches have become a competitive alternative to traditional ones like LambdaMART. However, neural architectures performance grew proportionally to their complexity and size. This can be an obstacle for their adoption in large-scale search systems where a model size impacts latency and update time. For this reason, we propose an architecture-agnostic approach based on a neural LETOR model to reduce the size of its input by up to 60% without affecting the system performance. This approach also allows to reduce a LETOR model complexity and, therefore, its training and inference time up to 50%.
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Conference papers on the topic "Web (Information retrieval system) – Science"

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Huang, Tao, Shuming Li, LinJing Wu, and Huan Huang. "Research on knowledge retrieval and navigation system of web-based learning resources." In 2013 International Conference of Information Science and Management Engineering. WIT Press, 2013. http://dx.doi.org/10.2495/isme130571.

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Kimura, Fuminori, Akira Maeda, Kenji Hatano, Jun Miyazaki, and Shunsuke Uemura. "Cross-Language Information Retrieval by Domain Restriction Using Web Directory Structure." In 2008 41st Annual Hawaii International Conference on System Sciences. IEEE, 2008. http://dx.doi.org/10.1109/hicss.2008.108.

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Baldwin, Jim, Trevor Martin, and Aimilia Tzanavari. "An Intelligent Method for Inferring Information about the User/ Client." In 2001 Informing Science Conference. Informing Science Institute, 2001. http://dx.doi.org/10.28945/2429.

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Having in mind today's growth of information sources, both in terms of their number and of their size, whether we are referring to the Internet, a corporate intranet, or a library information retrieval system, we can say that manipulating information is not a trivial task. The user is not often being catered for in distributed information systems. He/ she seems to be interacting with systems that do not recognize his/her uniqueness and thus do not offer an individualized treatment. As a result, User Modeling is a core, essential factor in achieving personalization. We present here an intelligent way of inferring user related information that is not available, a situation that is very likely to occur due to sparseness of relevant data. This method can be very useful in recommender systems and this is illustrated with an example.
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Cartelli, Antonio. "DigiStylus: A Socio-Technical Approach to Teaching and Research in Paleography." In InSITE 2009: Informing Science + IT Education Conference. Informing Science Institute, 2009. http://dx.doi.org/10.28945/3382.

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After a short overview of the results obtained by the use of information systems for teaching and research in paleography, the problem of the students’ access to information on the web is discussed. The difficulty students have in finding the “right” documents, among the ones freely available in the site of the “Materials for Latin paleography”, can be considered a particular branch of the broader problem of finding information in the web. As a result it is first analyzed the use of semantic web to solve students’ problems, soon after the socio-technical approach in the planning and carrying out of a new information system for the management of teachinglearning materials is reported. The latter hypothesis, on the basis of the constructivist initial results, seems the best to meet the students’ needs. To implement this solution a new online information system has been planned; in it students are involved both in the collection and the creation of information. This approach transforms the search for information in the creation of new information to be included in a meta-structure for information retrieval; the main hypothesis is that it helps students in developing meta-cognitive skills while collaborating among themselves and working with professors and experts.
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Xiong, Hong. "Linear Regression Evaluation of Search Engine Automatic Search Performance Based on Hadoop and R." In 4th International Conference on Computer Science and Information Technology (COMIT 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101607.

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The automatic search performance of search engines has become an essential part of measuring the difference in user experience. An efficient automatic search system can significantly improve the performance of search engines and increase user traffic. Hadoop has strong data integration and analysis capabilities, while R has excellent statistical capabilities in linear regression. This article will propose a linear regression based on Hadoop and R to quantify the efficiency of the automatic retrieval system. We use R's functional properties to transform the user's search results upon linear correlations. In this way, the final output results have multiple display forms instead of web page preview interfaces. This article provides feasible solutions to the drawbacks of current search engine algorithms lacking once or twice search accuracies and multiple types of search results. We can conduct personalized regression analysis for user’s needs with public datasets and optimize resources integration for most relevant information.
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Liang, Tao, David M. Cannon, and Larry J. Leifer. "Augmenting a Design Capture and Reuse System Based on Direct Observations of Usage." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dtm-5674.

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Abstract In this paper, we describe recent experimental results from an ongoing design knowledge capture and reuse project. In the past several years, an increasing amount of the design work in the ME210 design course at Stanford, in which teams work for 30 weeks on industrially-sponsored real-world projects, has been captured in electronic format. This design information consists of design notes, drawings, reports, slide presentations, emails, vendor references, and even, in some cases, summaries of phone conversations, meeting minutes, and the like. The large corpus of captured information from the period of 1994 to 1996 was made available to the teams working on projects during the 1996–1997 academic year. A variety of filing and indexing schemes were used to organize the past data and help the teams sift through it. Because the data was all made available over a web server, we were able to collect information on access to it. We have thus had a chance to learn from studying the usage of a large body of captured design knowledge. Results from our analysis suggest that there were significant under-utilization of design work of others: there was only 8% access to past works, vs. 92% to the current year’s; and, there was only 15% access to design project-specific information, vs. 85% on logistic resources information. Important lessons have guided our efforts to improve the effectiveness of that usage based on what we’ve learned. These lessons include: • Informal design information is more useful to a broader audience when it is contextualized. We have put in place a capture system that makes it possible for students to add context to any information that’s been captured, and also specific reward structure, encouraging engineers to store, contextualize, and reuse captured design information. Preliminary observations suggest that this is worth the investment for a project as a whole. • It is important to accommodate a heterogeneous computing environment, both for capture and reuse; to support multiple methods for finding information; and to provide a uniform, well-behaved way of displaying archived documents. • In explaining our observations of varying levels of success in design capture systems, we have identified some patterns of enquiry and retrieval usage that are analogous to the patterns seen in library usage. Thus we identify library science as a valuable source of knowledge that until now has been under used by the design community.
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Adamson, Göran, Lihui Wang, Magnus Holm, and Philip Moore. "Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8771.

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The ideas of on-demand, scalable and pay-for-usage resource-sharing in Cloud Manufacturing are steadily attracting more interest. For implementing the concept of Manufacturing-as-a-Service in a cloud environment, description models and implementation language for resources and their capabilities are required. A standardized approach for systemized virtualization, servisilisation, retrieval, selection and composition into higher levels of functionality is necessary. For the collaborative sharing and use of networked manufacturing resources there is also a need for a control approach for distributed manufacturing equipment. In this paper, the technological perspective for an adaptive cloud service-based control approach is described, and a supporting information model for its implementation. The control is realized through the use of a network of intelligent and distributable Function Block decision modules, enabling run-time manufacturing activities to be performed according to actual manufacturing conditions. The control system’s integration to the cloud service management functionality is described, as well as a feature-level capability model and the use of ontologies and the Semantic Web.
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Adesola Aderounmu, G., Bosede Oyatokun, and Matthew Adigun. "Remote Method Invocation and Mobile Agent: A Comparative Analysis." In InSITE 2006: Informing Science + IT Education Conference. Informing Science Institute, 2006. http://dx.doi.org/10.28945/3033.

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This paper presents a comparative analysis of Remote Method Invocation (RMI) and Mobile Agent (MA) paradigm used to implement the information storage and retrieval system in a distributed computing environment. Simulation program was developed to measure the performance of MA and RMI using object oriented programming language (the following parameters: search time, fault tolerance and invocation cost. We used search time, fault tolerance and invocation cost as performance parameters in this research work. Experimental results showed that Mobile Agent paradigm offers a superior performance compared to RMI paradigm, offers fast computational speed; procure lower invocation cost by making local invocations instead of remote invocations over the network, thereby reducing network bandwidth. Finally MA has a better fault tolerance than the RMI. With a probability of failure pr = 0.1, mobile agent degrades gracefully.
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Larouk, Omar. "EVALUATION OF INFORMATION RETRIEVAL SYSTEMS: CAN WE FIND MULTILINGUAL INFORMATION FROM DATA WAREHOUSES (WEB-CATALOGS AND WEB-DATA)?" In 4th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS Proceedings. STEF92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/41/s17.041.

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Li, Wenjie, Xiaohuan Zhang, and Xiaofei Wei. "Semantic Web-Oriented Intelligent Information Retrieval System." In 2008 International Conference on Biomedical Engineering And Informatics (BMEI). IEEE, 2008. http://dx.doi.org/10.1109/bmei.2008.277.

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