Добірка наукової літератури з теми "Web of document"
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Статті в журналах з теми "Web of document"
Kim, Kwang-Hyun, Joung-Mi Choi, and Joon-Ho Lee. "Detecting Harmful Web Documents Based on Web Document Analyses." KIPS Transactions:PartD 12D, no. 5 (October 1, 2005): 683–88. http://dx.doi.org/10.3745/kipstd.2005.12d.5.683.
Повний текст джерелаChawla, Suruchi. "Application of Convolution Neural Networks in Web Search Log Mining for Effective Web Document Clustering." International Journal of Information Retrieval Research 12, no. 1 (January 2022): 1–14. http://dx.doi.org/10.4018/ijirr.300367.
Повний текст джерелаRani Manukonda, Sumathi, Asst Prof Kmit, Narayanguda ., Hyderabad ., Nomula Divya, Asst Prof Cmrit, Medchal ., and Hyderabad . "Efficient Document Clustering for Web Search Result." International Journal of Engineering & Technology 7, no. 3.3 (June 21, 2018): 90. http://dx.doi.org/10.14419/ijet.v7i3.3.14494.
Повний текст джерелаAn, Dong-Un, and In-Ho Kang. "Document Ranking of Web Document Retrieval Systems." Journal of Information Management 34, no. 2 (June 30, 2003): 55–66. http://dx.doi.org/10.1633/jim.2003.34.2.055.
Повний текст джерелаLee, Youngseok, and Jungwon Cho. "Web document classification using topic modeling based document ranking." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (June 1, 2021): 2386. http://dx.doi.org/10.11591/ijece.v11i3.pp2386-2392.
Повний текст джерелаLecarpentier, Jean-Marc, Hervé Le Crosnier, Romain Brixtel, and Cyril Bazin. "Document Model and Prototyping Methods for Web Engineering." International Journal of Information System Modeling and Design 5, no. 4 (October 2014): 91–117. http://dx.doi.org/10.4018/ijismd.2014100105.
Повний текст джерелаRadilova, Martina, Patrik Kamencay, Robert Hudec, Miroslav Benco, and Roman Radil. "Tool for Parsing Important Data from Web Pages." Applied Sciences 12, no. 23 (November 24, 2022): 12031. http://dx.doi.org/10.3390/app122312031.
Повний текст джерелаCheng, Wen Zhi, Yi Yang, Liao Zhang, and Lian Li. "Optimization for Web-Based Online Document Management." Advanced Materials Research 756-759 (September 2013): 1135–40. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1135.
Повний текст джерелаChawla, Suruchi. "Application of Fuzzy C-Means Clustering and Semantic Ontology in Web Query Session Mining for Intelligent Information Retrieval." International Journal of Fuzzy System Applications 10, no. 1 (January 2021): 1–19. http://dx.doi.org/10.4018/ijfsa.2021010101.
Повний текст джерелаKim, Taeh Wan, Ho Cheol Jeon, and Joong Min Choi. "A New Document Representation Using a Unified Graph to Document Similarity Search." Advanced Materials Research 601 (December 2012): 394–400. http://dx.doi.org/10.4028/www.scientific.net/amr.601.394.
Повний текст джерелаДисертації з теми "Web of document"
Tandon, Seema Amit. "Web Texturizer: Exploring intra web document dependencies." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2539.
Повний текст джерелаMartins, Bruno. "Inter-Document Similarity in Web Searches." Master's thesis, Department of Informatics, University of Lisbon, 2004. http://hdl.handle.net/10451/14045.
Повний текст джерелаArocena, Gustavo O. "WebOQL, exploiting document structure in Web queries." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq29235.pdf.
Повний текст джерелаTang, Bo. "WEBDOC: AN AUTOMATED WEB DOCUMENT INDEXING SYSTEM." MSSTATE, 2002. http://sun.library.msstate.edu/ETD-db/theses/available/etd-11052002-213723/.
Повний текст джерела伍頌斌 and Chung-pun Ng. "Document distribution algorithms for distributed web servers." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31227703.
Повний текст джерелаLecarpentier, Jean-Marc. "Sydonie : modèle de document et ingénierie du Web." Phd thesis, Université de Caen, 2011. http://tel.archives-ouvertes.fr/tel-01070899.
Повний текст джерелаLecarpentier, Jean-Marc. "Sydonie : architecture de document et ingénierie du WEB." Caen, 2011. http://www.theses.fr/2011CAEN2044.
Повний текст джерелаThe Web has evolved, in the past few years, from a document centered approach, to become a web of applications. In this regard, multilingual composite documents management has become a focus point for Content Management Systems (CMS). This thesis offers a new approach, inspired by the Functional Requirements for Bibliographic Records report (FRBR). We propose tree-based model to describe relations between a digital document's various versions, translations and formats. The proposed approach allows composite documents to be rendered according to a user's preferences, using content negotiation and relationships between documents at the highest level of the tree. We created a web development framework called Sydonie (SYstème de gestion de DOcuments Numériques pour l’Internet et l’Édition), a research and industrial project. The proposed model has been implemented and validated within the Sydonie framework. Using both industry and academic work in the field of web engineering, Sydonie offers new ways to develop web applications. Finally, we propose a model for web aplications to interact with documents' metadata. The architecture we propose helps web developpers to implement metadata management in web applications more easily
Cloran, Russell Andrew. "Trust on the semantic web." Thesis, Rhodes University, 2006. http://eprints.ru.ac.za/852/.
Повний текст джерелаDongo, Escalante Irvin Franco Benito. "Anonymisation de documents RDF." Thesis, Pau, 2017. http://www.theses.fr/2017PAUU3045/document.
Повний текст джерелаWith the advance of the Semantic Web and the Open Linked Data initiatives, a huge quantity of RDF data is available on Internet. The goal is to make this data readable for humans and machines, adopting special formats and connecting them by using International Resource Identifiers (IRIs), which are abstractions of real resources of the world. As more data is published and shared, sensitive information is also provided. In consequence, the privacy of entities of interest (e.g., people, companies) is a real challenge, requiring special techniques to ensure privacy and adequate security over data available in an environment in which every user has access to the information without any restriction (Web). Then, three main aspects are considered to ensure entity protection: (i) Preserve privacy, by identifying and treating the data that can compromise the privacy of the entities (e.g., identifiers, quasi-identifiers); (ii) Identify utility of the public data for diverse applications (e.g., statistics, testing, research); and (iii) Model background knowledge that can be used for adversaries (e.g., number of relationships, a specific relationship, information of a node). Anonymization is one technique for privacy protection that has been successfully applied in practice for databases and graph structures. However, studies about anonymization in the context of RDF data, are really limited. These studies are initial works for protecting individuals on RDF data, since they show a practical anonymization approach for simple scenarios as the use of generalization and suppression operations based on hierarchies. However, for complex scenarios, where a diversity of data is presented, the existing anonymization approaches does not ensure an enough privacy. Thus, in this context, we propose an anonymization framework, which analyzes the neighbors according to the background knowledge, focused on the privacy of entities represented as nodes in the RDF data. Our anonymization approach is able to provide better privacy, since it takes into account the l-diversity condition as well as the neighbors (nodes and edges) of entities of interest. Also, an automatic anonymization process is provided by the use of anonymization operations associated to the datatypes
Stankovic, Milan. "Convergence entre Web Social et Web Sémantique. Application à l'innovation à l'aide du Web." Thesis, Paris 4, 2012. http://www.theses.fr/2012PA040247/document.
Повний текст джерелаThis thesis builds upon the work on the Social Semantic Web, a research perspective on the complementarity and coevolution of two aspects of the Web, the social and semantic one. Web development in recent years has given rise to a huge graph of semantically structured data, partly resulting from user activity. We are particularly interested in the use of this graph in order to facilitate access to information found on the Web, in a useful, informative manner. This problem is particularly studied in scenarios related to innovation on the Web - practices to use Web technologies to contribute to the emergence of innovation. A notable specificity of this context, so far little discussed in literature, is the need to encourage serendipity and discovery. Beyond the simple relevance sought in any search and recommendation situation on the Web, the context of innovation requires a certain openness to allow the user to access information relevant yet unexpected, and should also open opportunities to learn and translate ideas from one domain to another.The work presented in this thesis therefore aims to assist, directly or indirectly, the innovators online (eg, companies seeking to innovate, experts and carriers of ideas) to make discoveries. We address each of these challenges in different parts of the thesis. This vision is principally implemented through the construction of an expert search system, Hy.SemEx, a system for keyword recommendation allowing to discover unknown relevant keywords, HyProximity, and an approach for recommending collaborators to experts in order to help them face multidisciplinary problems
Книги з теми "Web of document"
Purcell, Lee. Web developer.com guide to creating Web channels. New York: Wiley, 1998.
Знайти повний текст джерелаZimmerman, Paul H. Web page essentials. Indianapolis, IN: Que E&T, 1997.
Знайти повний текст джерелаLiberty, Jesse. XML web documents from scratch. Indianapolis, Indiana: Que, 2000.
Знайти повний текст джерелаThe Document object model: Processing structured documents. New York: McGraw-Hill/Osborne, 2002.
Знайти повний текст джерелаThe Web wizard's guide to HTML. Boston: Addison Wesley, 2002.
Знайти повний текст джерелаTroy, Downing, ed. HTML Web publisher's construction kit. Corte Madera, CA: Waite Group Press, 1995.
Знайти повний текст джерелаDon, Gosselin, ed. The web warrior guide to Web design technologies. Australia: Thomson/Course Technology, 2003.
Знайти повний текст джерелаRon, Schmelzer, ed. XML and web services: Unleashed. Indianapolis, Ind: Sams, 2002.
Знайти повний текст джерелаThe HTML Web classroom. Upper Saddle River, NJ: Prentice Hall, 1999.
Знайти повний текст джерелаIbañez, Ardith, and Ardith Ibañez. HTML Web magic. Indianapolis, IN: Hayden Books, 1997.
Знайти повний текст джерелаЧастини книг з теми "Web of document"
Antonacopoulos, Apostolos, and Jianying Hu. "Web Document Analysis." In Digital Document Processing, 407–19. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-726-8_18.
Повний текст джерелаKoch, Peter-Paul. "Document Object Models." In The Web Professional’s Handbook, 258–97. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-5362-4_7.
Повний текст джерелаLim, Lipyeow, Min Wang, Sriram Padmanabhan, Jeffrey Scott Vitter, and Ramesh Agarwal. "Characterizing Web Document Change." In Advances in Web-Age Information Management, 133–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-47714-4_13.
Повний текст джерелаChen, Xin, and Xiaodong Zhang. "Web Document Prefetching on the Internet." In Web Intelligence, 345–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05320-1_16.
Повний текст джерелаApers, Chris, and Daniel Paterson. "Cross-Document Communication." In Beginning iPhone and iPad Web Apps, 321–41. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-3046-5_11.
Повний текст джерелаHoekstra, Rinke. "The MetaLex Document Server." In The Semantic Web – ISWC 2011, 128–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25093-4_9.
Повний текст джерелаMehta, Rupesh R., Harish Karnick, and Pabitra Mitra. "Semantic Structure Analysis of Web Documents." In Digital Document Processing, 421–36. London: Springer London, 2007. http://dx.doi.org/10.1007/978-1-84628-726-8_19.
Повний текст джерелаYapa, Sanjaya. "Web Forms and Document Management." In Getting Started with Dynamics 365 Portals, 125–66. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5346-5_4.
Повний текст джерелаHyusein, Byurhan, and Ahmed Patel. "Web Document Indexing and Retrieval." In Computational Linguistics and Intelligent Text Processing, 573–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36456-0_62.
Повний текст джерелаKohlhase, Michael. "Document Markup for the Web." In OMDoc – An Open Markup Format for Mathematical Documents [version 1.2], 3–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11826095_2.
Повний текст джерелаТези доповідей конференцій з теми "Web of document"
Zhao, Yue, and Claudia Hauff. "Sub-document Timestamping of Web Documents." In SIGIR '15: The 38th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2766462.2767803.
Повний текст джерелаMasumura, Ryo, Akinori Ito, Yu Uno, Masashi Ito, and Shozo Makino. "Document expansion using relevant web documents for spoken document retrieval." In 2010 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). IEEE, 2010. http://dx.doi.org/10.1109/nlpke.2010.5587854.
Повний текст джерелаZamir, Oren, and Oren Etzioni. "Web document clustering." In the 21st annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/290941.290956.
Повний текст джерелаWang, Fu Lee, Tak-Lam Wong, and Aston Nai Hong Mak. "Organization of Documents for Multiple Document Summarization." In 2008 Seventh International Conference on Web-based Learning, ICWL. IEEE, 2008. http://dx.doi.org/10.1109/icwl.2008.6.
Повний текст джерелаMomin, B. F., P. J. Kulkarni, and Amol Chaudhari. "Web Document Clustering Using Document Index Graph." In 2006 International Conference on Advanced Computing and Communications. IEEE, 2006. http://dx.doi.org/10.1109/adcom.2006.4289851.
Повний текст джерелаAlgosaibi, Abdulelah, and Saleh Albahli. "Web Documents Structures as Source for Machine-Understandable Document." In the 2019 2nd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3354142.3354145.
Повний текст джерелаAlaee, Sara, and Fattaneh Taghiyareh. "A semantic ontology-based document organizer to cluster elearning documents." In 2016 Second International Conference on Web Research (ICWR). IEEE, 2016. http://dx.doi.org/10.1109/icwr.2016.7498438.
Повний текст джерелаZhou, Yujia, Zhicheng Dou, Huaying Yuan, and Zhengyi Ma. "Socialformer: Social Network Inspired Long Document Modeling for Document Ranking." In WWW '22: The ACM Web Conference 2022. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3485447.3511962.
Повний текст джерелаMatsumoto, Kazunori, Keisuke Takahashi, and Tetsuo Tanaka. "Considerations on Web Document Designs." In 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2016. http://dx.doi.org/10.1109/iiai-aai.2016.243.
Повний текст джерелаStone, Roger, Jatinder Dhiensa, and Colin Machin. "Profile-based web document delivery." In the 2006 ACM symposium. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1166160.1166215.
Повний текст джерелаЗвіти організацій з теми "Web of document"
He, Xiaofeng, Hongyuan Zha, Chris H. Q. Ding, and Horst D. Simon. Web document clustering using hyperlink structures. Office of Scientific and Technical Information (OSTI), May 2001. http://dx.doi.org/10.2172/815474.
Повний текст джерелаSemerikov, Serhiy O., Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko, and Arnold E. Kiv. Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2651.
Повний текст джерелаLópez Vargas, Kristian, Rafael Novella, and Diego Tocre. Plataformas web de información para la educación superior: ¿qué sabemos y cómo mejorarlas? Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003396.
Повний текст джерелаAvellán, Leopoldo, Claudia Calderón, Giulia Lotti, and Z’leste Wanner. Knowledge for Development: the IDB's Impact in the Region. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003387.
Повний текст джерелаEsteban Regino, Edna Margarita, Osman Darío Obregón Silgado, Henry Hernández Padilla, Mario Miguel Mezquida Mendoza, and Sohely Rua Castañeda. Diseño de un portal web que permita acceder a los recursos y servicios del Observatorio de Economía Solidaria. Ediciones Universidad Cooperativa de Colombia, December 2021. http://dx.doi.org/10.16925/wpai.08.
Повний текст джерелаMalek, Mohammad Abdul, Aiko Kikkawa, Yasuyuki Sawada, and Abdul Kalam Azad. Rural Development in Bangladesh Over Four Decades: Findings from Mahabub Hossain Panel Data and the Way Forward. Asian Development Bank Institute, December 2022. http://dx.doi.org/10.56506/ppxg8315.
Повний текст джерелаPitt, Jordan A., Neelakanteswar Aluru, and Hahn Hahn. Supplemental materials for book chapter: Microplastics in Marine Food Webs. Woods Hole Oceanographic Institution, December 2022. http://dx.doi.org/10.1575/1912/29556.
Повний текст джерелаRita, WY Ng, Priyanga Dharmaratne, and Ip Margaret. An update of the contemporary donor screening tests used in fecal microbiota transplantation for its future developments: A systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2021. http://dx.doi.org/10.37766/inplasy2021.12.0063.
Повний текст джерелаDias, Rita, Miguel Rocha, Lucía Manrique, Sílvia Fraga, and Paula Meireles. HIV Prevention Combination Among Men who have Sex with Men: a scoping review protocol. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0071.
Повний текст джерелаCho, Emily EunYoung, Karen Austrian, and Nicole Haberland. Meeting the Moment: New Data on Learning Loss and What We Can Do About It. Population Council, 2021. http://dx.doi.org/10.31899/sbsr2021.1073.
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