Relevant bibliographies by topics / Sematic web

Contents

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

Academic literature on the topic 'Sematic web'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Sematic web"

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GONG, ZHIGUO, JINGZHI GUO, YUAN YAN TANG, and PATRICK S. P. WANG. "FILTERING TERMS FROM THE WEB FOR IMAGE ANNOTATIONS." International Journal of Pattern Recognition and Artificial Intelligence 27, no. 01 (February 2013): 1354002. http://dx.doi.org/10.1142/s0218001413540025.

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In this paper, we propose a novel automatic image annotation model by mining the web. In our approach, the terms or words appearing in the associated text are extracted and filtered as labels or annotations for the corresponding web images. Sure, much noise exists in those selected labels. In order to reduce the influence caused by the noisy labels, for each label or potential word, we improve web image-word relationships using Mixture Gaussian Distribution Model. By doing so, the relationships between words and images are re-weighted both in terms of sematic relevance and in terms of visual feature similarity. In fact, all the words associated to an image are not semantically independent. We use co-occurrences between two words to describe their semantic relevance. Thus, we further use a method, called Word Promotion, to co-enhance the weights of all the words associated to a given image based on their co-occurrences. Our experiments are conducted in several ways and the results show that our annotation method can achieve a satisfactory performance in respects of system scalability and sematic evolution.
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Mohammed, Wria, and Mohamad Saraee. "Sematic Web Mining Using Fuzzy C-means Algorithm." British Journal of Mathematics & Computer Science 16, no. 4 (January 10, 2016): 1–16. http://dx.doi.org/10.9734/bjmcs/2016/25471.

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FANG, XIANYONG, CHRISTIAN JACQUEMIN, and FRÉDÉRIC VERNIER. "WEBCONTENT VISUALIZER: A VISUALIZATION SYSTEM FOR SEARCH ENGINES IN SEMATIC WEB." International Journal of Information Technology & Decision Making 10, no. 05 (September 2011): 913–31. http://dx.doi.org/10.1142/s0219622011004646.

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Since the results from Semantic Web search engines are highly structured XML documents, they cannot be efficiently visualized with traditional explorers. Therefore, the Semantic Web calls for a new generation of search query visualizers that can rely on document metadata. This paper introduces such a visualization system called WebContent Visualizer that is used to display and browse search engine results. The visualization is organized into three levels: (1) Carousels contain documents with the same ranking, (2) carousels are piled into stacks, one for each date, and (3) these stacks are organized along a meta-carousel to display the results for several dates. Carousel stacks are piles of local carousels with increasing radii to visualize the ranks of classes. For document comparison, colored links connect documents between neighboring classes on the basis of shared entities. Based on these techniques, the interface is made of three collaborative components: an inspector window, a visualization panel, and a detailed dialog component. With this architecture, the system is intended to offer an efficient way to explore the results returned by Semantic Web search engines.
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Anh, Huỳnh Tuấn. "MÔ HÌNH HÓA TRI THỨC CHO MỘT CƠ SỞ DỮ LIỆU QUAN HỆ BẰNG ONTOLOGY WEB LANGUAGE." Tạp chí Khoa học Đại học Đà Lạt 7, no. 2 (June 28, 2017): 175. http://dx.doi.org/10.37569/dalatuniversity.7.2.237(2017).

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Trong bài báo này, chúng tôi trình bày phương pháp mô hình hóa tri thức một cơ sở dữ liệu quan hệ bằng Ontology Web Language (OWL). Kết quả đạt được bao gồm các luật chuyển đổi dữ liệu từ cơ sở dữ liệu quan hệ sang Ontology và các Axiom bổ sung ngữ nghĩa cho một cơ sở dữ liệu quan hệ. Dựa trên các luật này, dữ liệu trong mô hình quan hệ có thể được chuyển đổi thành các bộ ba RDF/OWL cho các ứng dụng Sematic web.
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Aljamel, Abduladem, Taha Osman, and Dhavalkumar Thakker. "A Semantic Knowledge-Based Framework for Information Extraction and Exploration." International Journal of Decision Support System Technology 13, no. 2 (April 2021): 85–109. http://dx.doi.org/10.4018/ijdsst.2021040105.

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The availability of online documents that describe domain-specific information provides an opportunity in employing a knowledge-based approach in extracting information from web data. This research proposes a novel comprehensive semantic knowledge-based framework that helps to transform unstructured data to be easily exploited by data scientists. The resultant sematic knowledgebase is reasoned to infer new facts and classify events that might be of importance to end users. The target use case for the framework implementation was the financial domain, which represents an important class of dynamic applications that require the modelling of non-binary relations. Such complex relations are becoming increasingly common in the era of linked open data. This research in modelling and reasoning upon such relations is a further contribution of the proposed semantic framework, where non-binary relations are semantically modelled by adapting the semantic reasoning axioms to fit the intermediate resources in the N-ary relations requirements.
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Andrews, Simon. "The CUBIST Project." International Journal of Intelligent Information Technologies 9, no. 4 (October 2013): 1–15. http://dx.doi.org/10.4018/ijiit.2013100101.

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As a preface to this Special 'CUBIST' Edition of the International Journal of Intelligent Information Technologies (IJIIT), this article describes the European Framework Seven Combining and Unifying Business Intelligence with Semantic Technologies (CUBIST) project, which ran from October 2010 to September 2013. The project aimed to combine the best elements of traditional BI with the newer, semantic, technologies of the Sematic Web, in the form of the Resource Description Framework (RDF), and Formal Concept Analysis (FCA). CUBIST's purpose was to provide end-users with “conceptually relevant and user friendly visual analytics” to allow them to explore their data in new ways, discovering hidden meaning and solving hitherto difficult problems. To this end, three of the partners in CUBIST were use-cases: recruitment consultancy, computational biology and the space industry. Each use-case provided their own requirements and problems that were finally addressed by the prototype CUBIST visual-analytics developed in the project.
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Kumar, Vipin, Arun Kumar Tripathi, and Naresh Chandra. "An Efficient and Optimized Sematic Web Enabled Framework (EOSWEF) for Google Search Engine Using Ontology." International Journal of Information Engineering and Electronic Business 11, no. 5 (September 8, 2019): 40–45. http://dx.doi.org/10.5815/ijieeb.2019.05.06.

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Shi, Hui, Dazhi Chong, and Gongjun Yan. "Evaluating an optimized backward chaining ontology reasoning system with innovative custom rules." Information Discovery and Delivery 46, no. 1 (February 19, 2018): 45–56. http://dx.doi.org/10.1108/idd-10-2017-0070.

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Purpose Semantic Web is an extension of the World Wide Web by tagging content with “meaning”. In general, question answering systems based on semantic Web face a number of difficult issues. This paper aims to design an experimental environment with custom rules and scalable data sets and evaluate the performance of a proposed optimized backward chaining ontology reasoning system. This study also compares the experimental results with other ontology reasoning systems to show the performance and scalability of this ontology reasoning system. Design/methodology/approach The authors proposed a semantic question answering system. This system has been built using ontological knowledge base including optimized backward chaining ontology reasoning system and custom rules. With custom rules, the proposed semantic question answering system will be able to answer questions that contain qualitative descriptors such as “groundbreaking” resesarch and “tenurable at university x”. Scalability has been one of the difficult issues faced by an optimized backward chaining ontology reasoning system and semantic question answering system. To evaluate the proposed ontology reasoning system, first, the authors design a number of innovative custom rule sets and corresponding query sets. The innovative custom rule sets and query sets will contribute to the future research on evaluating ontology reasoning systems as well. Then they design an experimental environment including ontologies and scalable data sets and metrics. Furthermore, they evaluate the performance of the proposed optimized backward chaining reasoning system on supporting custom rules. The evaluation results have been compared with other ontology reasoning systems as well. Findings The proposed innovative custom rules and query sets can be effectively employed for evaluating ontology reasoning systems. The evaluation results show that the scalability of the proposed backward chaining ontology reasoning system is better than in-memory reasoning systems. The proposed semantic question answering system can be integrated in sematic Web applications to solve scalability issues. For light weight applications, such as mobile applications, in-memory reasoning systems will be a better choice. Originality/value This paper fulfils an identified need for a study on evaluating an ontology reasoning system on supporting custom rules with and without external storage.
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Goudos, Sotirios K., Panagiotis I. Dallas, Stella Chatziefthymiou, and Sofoklis Kyriazakos. "A Survey of IoT Key Enabling and Future Technologies: 5G, Mobile IoT, Sematic Web and Applications." Wireless Personal Communications 97, no. 2 (July 18, 2017): 1645–75. http://dx.doi.org/10.1007/s11277-017-4647-8.

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Sheth, Amit, Cartic Ramakrishnan, and Christopher Thomas. "Semantics for the Semantic Web." International Journal on Semantic Web and Information Systems 1, no. 1 (January 2005): 1–18. http://dx.doi.org/10.4018/jswis.2005010101.

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Dissertations / Theses on the topic "Sematic web"

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Wen, Lipeng. "Flexible virtual learning environments : a schema-driven approach using sematic web concepts." Thesis, University of Hull, 2008. http://hydra.hull.ac.uk/resources/hull:6671.

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Flexible e-Iearning refers to an intelligent educational mechanism that focuses on simulating and improving traditional education as far as possible on the Web by integrating various electronic approaches, technologies, and equipment. This mechanism aims to promote the personalized development and management of e-learning Web services and applications. The main value of this method is that it provides high-powered individualization in pedagogy for students and staff. Here, the thesis mainly studied three problems in meeting the practical requirements of users in education. The first question is how a range of teaching styles (e.g. command and guided discovery) can be supported. The second one is how varieties of instructional processes can be authored. The third question is how these processes can be controlled by learners and educators in terms of their personalized needs during the execution of instruction. In this research, through investigating the existing e-Iearning approaches and technologies, the main technical problems of current virtual learning environments (VLEs) were analyzed. Next, by using the Semantic Web concepts as well as relevant standards, a schema-driven approach was created. This method can support users' individualized operations in the Web-based education. Then, a flexible e-learning system based on the approach was designed and implemented to map a range of extensive didactic paradigms. Finally, a case study was completed to evaluate the research results. The main findings of the assessment were that the flexible VLE implemented a range of teaching styles and the personalized creation and control of educational processes.
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Pääkkölä, Jonas. "OPEN LINKED DATA : HOW TO CONVERT AND PUBLISH STRUCTURED DATA AND DEMONSTRATIONS OF POSSIBLE USES." Thesis, Umeå universitet, Institutionen för fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-104930.

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The goal with this project was to convert open structured data, e.g. csv-files, to Linked Open Data and to demonstrate possible uses of such data. The project was also supposed to inspire and lay a foundation for future work in the area. The conversion was done using the D2RQ platform, and the chosen dataset contains air quality measurements from Umeå Municipality. The resulting data was then published on the internet with D2R server. For demonstration purposes two tasks were done. A visualization of the converted data was published on the web, together with traffic and weather data. Secondly a physical city model was built of carton with eight photodiodes, a Raspberry Pi and visualized with a local webserver. The goals for the project were fulfilled and it has also inspired Knowit to continue with commercial projects in the area of Linked Open Data. Future effort should be put in converting more data to Linked Open Data and to create full scale sensor networks in a city.
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Zammuto, Teresa. "Innovazione nel Semantic Web: Evoluzione della base di conoscenza semantica YAGO." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11528/.

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La presente ricerca tratta lo studio delle basi di conoscenza, volto a facilitare la raccolta, l'organizzazione e la distribuzione della conoscenza. La scelta dell’oggetto è dovuta all'importanza sempre maggiore acquisita da questo ambito di ricerca e all'innovazione che esso è in grado di apportare nel campo del Web semantico. Viene analizzata la base di conoscenza YAGO: se ne descrivono lo stato dell’arte, le applicazioni e i progetti per sviluppi futuri. Il lavoro è stato condotto esaminando le pubblicazioni relative al tema e rappresenta una risorsa in lingua italiana sull'argomento.
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Hensel, Stephan, Markus Graube, and Leon Urbas. "Methodology for Conflict Detection and Resolution in Semantic Revision Control Systems." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-211244.

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Revision control mechanisms are a crucial part of information systems to keep track of changes. It is one of the key requirements for industrial application of technologies like Linked Data which provides the possibility to integrate data from different systems and domains in a semantic information space. A corresponding semantic revision control system must have the same functionality as established systems (e.g. Git or Subversion). There is also a need for branching to enable parallel work on the same data or concurrent access to it. This directly introduces the requirement of supporting merges. This paper presents an approach which makes it possible to merge branches and to detect inconsistencies before creating the merged revision. We use a structural analysis of triple differences as the smallest comparison unit between the branches. The differences that are detected can be accumulated to high level changes, which is an essential step towards semantic merging. We implemented our approach as a prototypical extension of therevision control system R43ples to show proof of concept.
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Sawant, Anup Satish. "Semantic web search." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1263410119/.

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Gessler, Damian, Gary Schiltz, Greg May, Shulamit Avraham, Christopher Town, David Grant, and Rex Nelson. "SSWAP: A Simple Semantic Web Architecture and Protocol for semantic web services." BioMed Central, 2009. http://hdl.handle.net/10150/610154.

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BACKGROUND:SSWAP (Simple Semantic Web Architecture and Protocol
pronounced "swap") is an architecture, protocol, and platform for using reasoning to semantically integrate heterogeneous disparate data and services on the web. SSWAP was developed as a hybrid semantic web services technology to overcome limitations found in both pure web service technologies and pure semantic web technologies.RESULTS:There are currently over 2400 resources published in SSWAP. Approximately two dozen are custom-written services for QTL (Quantitative Trait Loci) and mapping data for legumes and grasses (grains). The remaining are wrappers to Nucleic Acids Research Database and Web Server entries. As an architecture, SSWAP establishes how clients (users of data, services, and ontologies), providers (suppliers of data, services, and ontologies), and discovery servers (semantic search engines) interact to allow for the description, querying, discovery, invocation, and response of semantic web services. As a protocol, SSWAP provides the vocabulary and semantics to allow clients, providers, and discovery servers to engage in semantic web services. The protocol is based on the W3C-sanctioned first-order description logic language OWL DL. As an open source platform, a discovery server running at http://sswap.info webcite (as in to "swap info") uses the description logic reasoner Pellet to integrate semantic resources. The platform hosts an interactive guide to the protocol at http://sswap.info/protocol.jsp webcite, developer tools at http://sswap.info/developer.jsp webcite, and a portal to third-party ontologies at http://sswapmeet.sswap.info webcite (a "swap meet").CONCLUSION:SSWAP addresses the three basic requirements of a semantic web services architecture (i.e., a common syntax, shared semantic, and semantic discovery) while addressing three technology limitations common in distributed service systems: i.e., i) the fatal mutability of traditional interfaces, ii) the rigidity and fragility of static subsumption hierarchies, and iii) the confounding of content, structure, and presentation. SSWAP is novel by establishing the concept of a canonical yet mutable OWL DL graph that allows data and service providers to describe their resources, to allow discovery servers to offer semantically rich search engines, to allow clients to discover and invoke those resources, and to allow providers to respond with semantically tagged data. SSWAP allows for a mix-and-match of terms from both new and legacy third-party ontologies in these graphs.
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Medjahed, Brahim. "Semantic Web Enabled Composition of Web Services." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/27364.

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In this dissertation, we present a novel approach for the automatic composition of Web services on the envisioned Semantic Web. Automatic service composition requires dealing with three major research thrusts: semantic description of Web services, composability of participant services, and generation of composite service descriptions. This dissertation deals with the aforementioned research issues. We first propose an ontology-based framework for organizing and describing semantic Web services. We introduce the concept of community to cluster Web services based on their domain of interest. Each community is defined as an instance of an ontology called community ontology. We then propose a composability model to check whether semantic Web services can be combined together, hence avoiding unexpected failures at run time. The model defines formal safeguards for meaningful composition through the use of composability rules. We also introduce the notions of composability degree and tau-composability to cater for partial and total composability. Based on the composability model, we propose a set of algorithms that automatically generate detailed descriptions of composite services from high-level specifications of composition requests. We introduce a Quality of Composition (QoC) model to assess the quality of the generated composite services. The techniques presented in this dissertation are implemented in WebDG, a prototype for accessing e-government Web services. Finally, we conduct an extensive performance study (analytical and experimental) of the proposed composition algorithms.
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Dingli, Alexiei. "Annotating the semantic web." Thesis, University of Sheffield, 2005. http://etheses.whiterose.ac.uk/10272/.

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The web of today has evolved into a huge repository of rich Multimedia content for human consumption. The exponential growth of the web made it possible for information size to reach astronomical proportions; far more than a mere human can manage, causing the problem of information overload. Because of this, the creators of the web(lO) spoke of using computer agents in order to process the large amounts of data. To do this, they planned to extend the current web to make it understandable by computer programs. This new web is being referred to as the Semantic Web. Given the huge size of the web, a collective effort is necessary to extend the web. For this to happen, tools easy enough for non-experts to use must be available. This thesis first proposes a methodology which semi-automatically labels semantic entities in web pages. The methodology first requires a user to provide some initial examples. The tool then learns how to reproduce the user's examples and generalises over them by making use of Adaptive Information Extraction (AlE) techniques. When its level of performance is good enough when compared to the user, it then takes over the process and processes the remaining documents autonomously. The second methodology goes a step further and attempts to gather semantically typed information from web pages automatically. It starts from the assumption that semantics are already available all over the web, and by making use of a number of freely available resources (like databases) combined with AlE techniques, it is possible to extract most information automatically. These techniques will certainly not provide all the solutions for the problems brought about with the advent of the Semantic Web. They are intended to provide a step forward towards making the Semantic Web a reality.
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Biasiotti, Maria Angela <1973&gt. "La conoscenza dell'informazione giuridica nell'era del semantic web: strumenti semantici utilizzati e scenari futuri." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/909/.

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Elgedawy, Islam Moukhtar, and islam_elgedawy@yahoo com au. "Correctness-Aware High-Level Functional Matching Approaches For Semantic Web Services." RMIT University. Computer Science and Information Technology, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070511.162143.

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Existing service matching approaches trade precision for recall, creating the need for humans to choose the correct services, which is a major obstacle for automating the service matching and the service aggregation processes. To overcome this problem, the matchmaker must automatically determine the correctness of the matching results according to the defined users' goals. That is, only service(s)-achieving users' goals are considered correct. This requires the high-level functional semantics of services, users, and application domains to be captured in a machine-understandable format. Also this requires the matchmaker to determine the achievement of users' goals without invoking the services. We propose the G+ model to capture the high-level functional specifications of services and users (namely goals, achievement contexts and external behaviors) providing the basis for automated goal achievement determination; also we propose the concepts substitutability graph to capture the application domains' semantics. To avoid the false negatives resulting from adopting existing constraint and behavior matching approaches during service matching, we also propose new constraint and behavior matching approaches to match constraints with different scopes, and behavior models with different number of state transitions. Finally, we propose two correctness-aware matching approaches (direct and aggregate) that semantically match and aggregate semantic web services according to their G+ models, providing the required theoretical proofs and the corresponding verifying simulation experiments.
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Books on the topic "Sematic web"

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Ashish, Naveen, and Amit P. Sheth, eds. Geospatial Semantics and the Semantic Web. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2.

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Cimiano, Philipp, Oscar Corcho, Valentina Presutti, Laura Hollink, and Sebastian Rudolph, eds. The Semantic Web: Semantics and Big Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38288-8.

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P, Bernstein, Bussler Christoph, Carey M. J, Ceri Stefano 1955-, Dayal Umeshwar, Faloutsos C, Freytag J. -C, et al., eds. The Semantic Web: Semantics for Data and Services on the Web. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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Pellegrini, Tassilo, and Andreas Blumauer, eds. Semantic Web. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-29325-6.

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Baker, Christopher J. O., and Kei-Hoi Cheung, eds. Semantic Web. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-48438-9.

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Workman, Michael, ed. Semantic Web. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-16658-2.

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Deved¿ic, Vladan. Web 2.0 & Semantic Web. Boston, MA: Springer Science+Business Media, LLC, 2009.

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Yu, Liyang. Introduction to Semantic Web and Semantic Web services. Boca Raton, FL: Chapman & Hall/CRC, 2007.

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Introduction to Semantic Web and Semantic Web services. Boca Raton, FL: CRC Press, 2007.

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P, Sheth Amit, and SpringerLink (Online service), eds. Geospatial Semantics and the Semantic Web: Foundations, Algorithms, and Applications. Boston, MA: Springer Science+Business Media, LLC, 2011.

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Book chapters on the topic "Sematic web"

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Bryniarska, Anna. "Fuzzy Granular Calculations for the Sematic Web Using Some Mathematical Morphology Methods." In Recent Advances in Soft Computing, 233–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97888-8_20.

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Rastier, François. "Web Semantics vs the Semantic Web?" In Studies in Corpus Linguistics, 93–110. Amsterdam: John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/scl.41.07ras.

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Hyvönen, Eero, Jouni Tuominen, Tomi Kauppinen, and Jari Väätäinen. "Representing and Utilizing Changing Historical Places as an Ontology Time Series." In Geospatial Semantics and the Semantic Web, 1–25. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2_1.

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Scheider, Simon, Carsten Keßler, Jens Ortmann, Anusuriya Devaraju, Johannes Trame, Tomi Kauppinen, and Werner Kuhn. "Semantic Referencing of Geosensor Data and Volunteered Geographic Information." In Geospatial Semantics and the Semantic Web, 27–59. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2_2.

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Perry, Matthew, Prateek Jain, and Amit P. Sheth. "SPARQL-ST: Extending SPARQL to Support Spatiotemporal Queries." In Geospatial Semantics and the Semantic Web, 61–86. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2_3.

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Harvey, Francis, and Robert G. Raskin. "Spatial Cyberinfrastructure: Building New Pathways for Geospatial Semantics on Existing Infrastructures." In Geospatial Semantics and the Semantic Web, 87–96. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2_4.

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Stock, Kristin, Gobe Hobona, Carlos Granell, and Mike Jackson. "Ontology-Based Geospatial Approaches for Semantic Awareness in Earth Observation Systems." In Geospatial Semantics and the Semantic Web, 97–118. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2_5.

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Gjomemo, Rigel, and Isabel F. Cruz. "Location-Based Access Control Using Semantic Web Technologies." In Geospatial Semantics and the Semantic Web, 119–44. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2_6.

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Varanka, Dalia, Jonathan Carter, E. Lynn Usery, and Thomas Shoberg. "Topographic Mapping Data Semantics Through Data Conversion and Enhancement." In Geospatial Semantics and the Semantic Web, 145–62. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-9446-2_7.

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Workman, Michael. "Introduction to This Book." In Semantic Web, 1–5. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_1.

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Conference papers on the topic "Sematic web"

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Wu, Haijiang, Jie Liu, Dan Ye, Hua Zhong, and Jun Wei. "A distributed rule execution mechanism based on MapReduce in sematic web reasoning." In Internetware '13: The Fifth Asia-Pacific Symposium on Internetware. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2532443.2532457.

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Norvig, Peter. "The Semantic Web and the Semantics of the Web." In WWW '16: 25th International World Wide Web Conference. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee, 2016. http://dx.doi.org/10.1145/2872427.2874818.

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Lécué, Freddy, Jiaoyan Chen, Jeff Z. Pan, and Huajun Chen. "Augmenting Transfer Learning with Semantic Reasoning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/246.

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Transfer learning aims at building robust prediction models by transferring knowledge gained from one problem to another. In the semantic Web, learning tasks are enhanced with semantic representations. We exploit their semantics to augment transfer learning by dealing with when to transfer with semantic measurements and what to transfer with semantic embeddings. We further present a general framework that integrates the above measurements and embeddings with existing transfer learning algorithms for higher performance. It has demonstrated to be robust in two real-world applications: bus delay forecasting and air quality forecasting.
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Sacco, Owen, Antonios Liapis, and Georgios N. Yannakakis. "Game Character Ontology (GCO) A Vocabulary for Extracting and Describing Game Character Information from Web Content." In Semantics2017: Semantics 2017 - 13th International Conference on Semantic Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3132218.3132233.

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White, Graham. "Semantics, Hermeneutics, Statistics: Some Reflections on the Semantic Web." In Proceedings of HCI 2011 The 25th BCS Conference on Human Computer Interaction. BCS Learning & Development, 2011. http://dx.doi.org/10.14236/ewic/hci2011.22.

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Horrocks, Ian. "Semantic web." In the 2007 international cross-disciplinary conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1243441.1243469.

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Ramirez, Eduardo, and Ramon Brena. "Semantic Contexts in the Internet." In 2006 Fourth Latin American Web Congress. IEEE, 2006. http://dx.doi.org/10.1109/la-web.2006.33.

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Llambías, Guzmán, Regina Motz, Alvaro Rettich, and Marco Scalone. "Multidimensional Semantic Web Services Matching." In 2008 Latin American Web Conference (LA-WEB). IEEE, 2008. http://dx.doi.org/10.1109/la-web.2008.13.

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Celik, Duygu, and Atilla Elci. "Semantic Web Enabled Composition of Semantic Web Services." In 2009 33rd Annual IEEE International Computer Software and Applications Conference. IEEE, 2009. http://dx.doi.org/10.1109/compsac.2009.113.

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Chen, Jiaoyan, Freddy Lecue, Jeff Z. Pan, and Huajun Chen. "Learning from Ontology Streams with Semantic Concept Drift." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/133.

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Data stream learning has been largely studied for extracting knowledge structures from continuous and rapid data records. In the semantic Web, data is interpreted in ontologies and its ordered sequence is represented as an ontology stream. Our work exploits the semantics of such streams to tackle the problem of concept drift i.e., unexpected changes in data distribution, causing most of models to be less accurate as time passes. To this end we revisited (i) semantic inference in the context of supervised stream learning, and (ii) models with semantic embeddings. The experiments show accurate prediction with data from Dublin and Beijing.
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Reports on the topic "Sematic web"

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Berners-Lee, Tim, and Ralph Swick. Semantic Web Development. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada458366.

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Heflin, Jeff, and James Hendler. Semantic Interoperability on the Web. Fort Belvoir, VA: Defense Technical Information Center, January 2000. http://dx.doi.org/10.21236/ada440535.

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Golbeck, Jennifer, Bijan Parisa, and James Hendler. Trust Networks on the Semantic Web. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada447994.

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Golbeck, Jennifer, Bernardo Cuenca Gran, Christian Halaschek-Wiener, Aditya Kalyanpur, Yarden Katz, Bijan Parsia, Andrew Schain, Evren Sirin, and James Hendler. Semantic Web Research Trends and Directions. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada457148.

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Chen, Harry, Tim Finin, and Amupam Joshi. Semantic Web in the Context Broker Architecture. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada439483.

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Thuraisingham, Bhavani. Secure Sensor Semantic Web and Information Fusion. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada610634.

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Gruninger, Michael. Applications of PSL to semantic web services. Gaithersburg, MD: National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.ir.7165.

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Chen, Harry, Tim Finin, and Anupam Joshi. Semantic Web in a Pervasive Context-Aware Architecture. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada439730.

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Sabbouh, Marwan, and Joseph K. DeRosa. Using Semantic Web Technologies to Integrate the Enterprise. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada456353.

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Golbeck, Jennifer, Yarden Katz, Daniel Krech, Aaron Mannes, Taowei D. Wang, and James Hendler. PaperPuppy: Sniffing the Trail of Semantic Web Publications. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada455193.

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