Relevant bibliographies by topics / Semantic web

Contents

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

Academic literature on the topic 'Semantic web'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 November 2024

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Journal articles on the topic "Semantic web"

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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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Splendiani, Andrea, Albert Burger, Adrian Paschke, Paolo Romano, and M. Marshall. "Biomedical semantics in the Semantic Web." Journal of Biomedical Semantics 2, Suppl 1 (2011): S1. http://dx.doi.org/10.1186/2041-1480-2-s1-s1.

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ASHTARI, SOMAYEH, MALIHE DANESH, and Hossein Shirgahi. "A NOVEL USER PROFILE-BASED FUZZY APPROACH FOR EVALUATING TRUST IN SEMANTIC WEB." IIUM Engineering Journal 20, no. 1 (June 1, 2019): 158–76. http://dx.doi.org/10.31436/iiumej.v20i1.1060.

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ABSTRACT: As a developed World Wide Web architecture, the Semantic Web collects traditional web contents with a formal and understandable semantic using a machine. The main purpose of the Semantic Web is to increase automation, web information processing, and improve interactions and collaboration among information systems. The subject of trust is one of the main challenges in the semantic web. Since different tools and individuals exist in the semantic web, a certain measure of trust in an entity cannot be used and a central system is responsible for data collection and estimating the reliability. In this study, a fuzzy system is used to evaluate the trust measure in the semantic web. For this purpose, the user profile data including a list of pages, user sessions, and visited pages in each session, and the time of page viewings are used as semantic parameters. After determining the general framework of trust in the semantic web, the effectiveness of the above mentioned semantic parameters on the trust measure is investigated and effective parameters are used for evaluation in the fuzzy system. The experiment results show that the proposed fuzzy method with a mean absolute error of 2.5% and an average precision of 97.5% could achieve the right value of trust in the semantic web. ABSTRAK: Sebagai senibina World Wide Web, Semantik Web mengumpul kandungan web tradisional bersama semantik formal dan mudah difahami menggunakan mesin. Tujuan utama Semantik Web adalah bagi meningkatkan automasi, pemprosesan maklumat web, dan meningkatkan interaksi dan kerjasama antara sistem maklumat. Kepercayaan adalah salah satu cabaran utama dalam web semantik. Disebabkan perbezaan alatan dan pelbagai individu wujud dalam web semantik, langkah tertentu sebagai entiti dipercayai tidak dapat digunakan dan sistem pusat adalah bertanggungjawab bagi pengumpulan data dan kebolehpercayaan anggaran. Dalam kajian ini, sistem rawak telah digunakan bagi menilai tahap kepercayaan dalam web semantik. Bagi tujuan ini, data profil pengguna termasuk senarai halaman, sesi pengguna, dan halaman yang dikunjungi dalam setiap sesi, dan masa paparan halaman telah digunakan sebagai parameter semantik. Selepas menentukan rangka umum kepercayaan dalam web semantik, keberkesanan parameter semantik yang dinyatakan di atas pada ukuran kepercayaan telah disiasat dan parameter yang berkesan telah digunakan bagi penilaian sistem rawak. Keputusan eksperimen menunjukkan bahawa kaedah rawak yang dicadangkan dengan ralat mutlak purata sebanyak 2.5% dan ketepatan purata sebanyak 97.5% dapat mencapai nilai kepercayaan yang benar dalam web semantik.
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Deelmann, Thomas. "Semantic Web." WIRTSCHAFTSINFORMATIK 49, no. 6 (December 2007): 464. http://dx.doi.org/10.1007/s11576-007-0131-5.

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Grosky, W. I., D. V. Sreenath, and F. Fotouhi. "Emergent semantics and the multimedia semantic web." ACM SIGMOD Record 31, no. 4 (December 2002): 54–58. http://dx.doi.org/10.1145/637411.637420.

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USCHOLD, MIKE. "A semantic continuum on the semantic web." Knowledge Engineering Review 17, no. 1 (March 2002): 87–91. http://dx.doi.org/10.1017/s0269888902000346.

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In the coming years, the Web is expected to evolve from a structure containing information resources that have little or no explicit semantics to a structure having a rich semantic infrastructure. The key defining feature that is intended to distinguish the future Semantic Web from today's Web is that the content of the Web will be usable by machines (i.e. software agents). Meaning needs to be communicated between agents who advertise and/or require the ability to perform tasks on the Web. Agents also need to determine the meaning of passive (i.e. non-agent) information resources on the web to perform these tasks.
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Greaves, Mark, and Peter Mika. "Semantic Web and Web 2.0." Journal of Web Semantics 6, no. 1 (February 2008): 1–3. http://dx.doi.org/10.1016/j.websem.2007.12.002.

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Alaa, Rana, Mariam Gawish, and Manuel Fernández-Veiga. "Improving Recommendations for Online Retail Markets Based on Ontology Evolution." Electronics 10, no. 14 (July 11, 2021): 1650. http://dx.doi.org/10.3390/electronics10141650.

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The semantic web is considered to be an extension of the present web. In the semantic web, information is given with well-defined meanings, and thus helps people worldwide to cooperate together and exchange knowledge. The semantic web plays a significant role in describing the contents and services in a machine-readable form. It has been developed based on ontologies, which are deemed the backbone of the semantic web. Ontologies are a key technique with which semantics are annotated, and they provide common comprehensible foundation for resources on the semantic web. The use of semantics and artificial intelligence leads to what is known to be “Smarter Web”, where it will be easy to retrieve what customers want to see on e-commerce platforms, and thus will help users save time and enhance their search for the products they need. The semantic web is used as well as webs 3.0, which helps enhancing systems performance. Previous personalized recommendation methods based on ontologies identify users’ preferences by means of static snapshots of purchase data. However, as the user preferences evolve with time, the one-shot ontology construction is too constrained for capturing individual diverse opinions and users’ preferences evolution over time. This paper will present a novel recommendation system architecture based on ontology evolution, the proposed subsystem architecture for ontology evolution. Furthermore, the paper proposes an ontology building methodology based on a semi-automatic technique as well as development of online retail ontology. Additionally, a recommendation method based on the ontology reasoning is proposed. Based on the proposed method, e-retailers can develop a more convenient product recommendation system to support consumers’ purchase decisions.
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Hammami, Randa, Hatem Bellaaj, and Ahmed Hadj Kacem. "Semantic Web Services Discovery." International Journal on Semantic Web and Information Systems 14, no. 4 (October 2018): 57–72. http://dx.doi.org/10.4018/ijswis.2018100103.

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This article describes how Web services play an important role in several fields such as e-commerce and e-health. As the number of Web services is increasing rapidly, finding the best Web service according to users' requirements becomes more challenging. The traditional method of Web service discovery is based on keyword match. Due to this, many Web services which are most relevant to the user request are left undiscoverable. Some other emergent approaches are based on semantics to improve the quality of the discovered Web services in terms of relevance and satisfaction of user's need. In this paper, the authors present a survey of existing semantic Web services discovery approaches giving priority to relevant ones. Furthermore, this paper provides a critical and comparative analysis of the studied approaches and stands out major challenges to be addressed to substantially enhance the semantic Web service discovery.
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Childs, Sue. "The Semantic Web." He@lth Information on the Internet 32, no. 1 (April 1, 2003): 1–2. http://dx.doi.org/10.1258/146041403321544422.

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Dissertations / Theses on the topic "Semantic web"

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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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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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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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Kaufmann, Esther. "Talking to the semantic web." Zürich Univ, 2007. http://opac.nebis.ch/exlibris/aleph/u181̲/apachem̲edia/VPYCT7FTV1JRH42F9FUJJETBEUG4I7.pdf.

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Cloran, Russell Andrew. "Trust on the semantic web." Thesis, Rhodes University, 2006. http://eprints.ru.ac.za/852/.

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CUNHA, LEONARDO MAGELA. "A SEMANTIC WEB APPLICATION FRAMEWORK." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2006. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10084@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
FUNDAÇÃO PADRE LEONEL FRANCA
Até alguns anos atrás, a Web disseminava principalmente documentos. Com o advento das aplicações Web, as organizações puderam disponibilizar informações que estavam em seus bancos de dados e sistemas legados. Entretanto, a comunicação entre estas aplicações ou com aplicações de usuários finais, às vezes, não era possível devido a diferenças no formato de representação dos dados. O desenvolvimento de padrões (standards) e o uso da eXtensible Markup Language (XML) resolveram muitos destes problemas. Apesar das soluções desenvolvidas serem somente sintáticas elas funcionam em muitos casos, como por exemplo, na interoperabilidade de esquemas em sistemas bussiness to bussiness de e-commerce. Entretanto, a falta do aspecto semântico impossibilitou que as aplicações fizessem mais uso dos dados ou os utilizassem de forma mais inteligente. A idéia da Web Semântica é definir explicitamente o significado dos dados que se encontram na Web. Com isso, esperam-se aplicações capazes de entender o que significam os dados. E uma vez que estas aplicações entendam os dados, elas possibilitarão que os usuários utilizem essa nova Web dirigida a dados para facilitar as suas tarefas rotineiras. Esta tese propõe um framework para o desenvolvimento de aplicações para a Web Semântica. Considerando o que foi descrito no parágrafo anterior, o número de aplicações que podem ser construídas é quase infinito. Portanto, nós nos restringimos a observar as aplicações que tem por objetivo solucionar o problema apresentado pelo Semantic Web Challenge; e propor um framework que represente estas soluções. O Challenge tem como principal finalidade demonstrar como as aplicações podem atrair e beneficiar o usuário final através do uso das técnicas da Web Semântica. Conseqüentemente, nossa intenção é possibilitar que o desenvolvedor de aplicações possa atingir essa atração e benefícios, através do uso das técnicas de Web Semântica e de Engenharia de Software, utilizando um framework para o desenvolvimento das aplicações.
Documents have been the main vehicle of the Web until some years ago. With the advent of Web applications, data stored in organizations databases or legacy systems has been made available to users. However, very often, the exchange of data between those applications themselves or between them and end-users applications were not possible since they used different formats for the information representation. The development of standards and the use of the eXtensible Markup Language (XML) solved parts of the problem. That was a syntactic solution and it works for several cases, e.g., schema interoperability in Business-to-Business e-commerce scenarios. Nevertheless, the lack of semantics on these data prevented applications to take more advantage of them. The idea behind the Semantic Web is to define explicitly the semantics of data available on the Web. Therefore, we expect another step forward where applications, being them corporative or for end-users, will understand the meaning of the data available on the Web. Once those applications can understand it, they will be able to help users to take advantage of this data driven Web and to perform their daily tasks easily. This thesis proposes a framework for the development of Semantic Web applications. Considering the scenario described in the previous paragraph, the number of possible applications that can be developed is almost infinite. For this reason, we restricted ourselves to examine the solutions that aim to solve the problem presented at the Semantic Web Challenge; and to propose a framework that represent those solutions. The challenge is concerned in demonstrating how Semantic Web techniques can provide valuable or attractive applications to end users. Our main concern was then to demonstrate and help a developer to achieve that value addition or attractiveness, through Semantic Web techniques, in a Software Engineering approach using frameworks.
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Isaksen, Leif. "Archaeology and the Semantic Web." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/206421/.

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This thesis explores the application of Semantic Web technologies to the discipline of Archaeology. Part One (Chapters 1-3) offers a discussion of historical developments in this field. It begins with a general comparison of the supposed benefits of semantic technologies and notes that they partially align with the needs of archaeologists. This is followed by a literature review which identifies two different perspectives on the Semantic Web: Mixed-Source Knowledge Representation (MSKR), which focuses on data interoperability between closed systems, and Linked Open Data (LOD), which connects decentralized, open resources. Part One concludes with a survey of 40 Cultural Heritage projects that have used semantic technologies and finds that they are indeed divided between these two visions. Part Two (Chapters 4-7) uses a case study, Roman Port Networks, to explore ways of facilitating MSKR. Chapter 4 describes a simple ontology and vocabulary framework, by means of which independently produced digital datasets pertaining to amphora finds at Roman harbour sites can be combined. The following chapters describe two entirely different approaches to converting legacy data to an ontology-compliant semantic format. The first, TRANSLATION, uses a 'Wizard'-style toolkit. The second, 'Introducing Semantics', is a wiki-based cookbook. Both methods are evaluated and found to be technically capable but socially impractical. The final chapter argues that the reason for this impracticality is the small-to-medium scale typical of MSKR projects. This does not allow for sufficient analytical return on the high level of investment required of project partners to convert and work with data in a new and unfamiliar format. It further argues that the scale at which such investment pays off is only likely to arise in an open and decentralized data landscape. Thus, for Archaeology to benefit from semantic technologies would require a severe sociological shift from current practice towards openness and decentralization. Whether such a shift is either desirable or feasible is raised as a topic for future work.
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ALHARTHI, KHALID AYED B. "AN ARABIC SEMANTIC WEB MODEL." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1367064711.

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Foulkes, James. "Semantic web for knowledge networking /." Leeds, 2001. http://www.leeds.ac.uk/library/counter2/compstmsc/20002001/foulkes.pdf.

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Books on the topic "Semantic web"

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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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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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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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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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Yu, Liyang. Introduction to the Semantic Web and Semantic Web Services. London: Taylor and Francis, 2007.

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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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Kashyap, Vipul, John Davies, Lytas Miltiadis, and Miguel-Angel Sicilia. The semantic web. Bradford, England: Emerald Group Publishing, 2005.

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Verborgh, Ruben, Katja Hose, Heiko Paulheim, Pierre-Antoine Champin, Maria Maleshkova, Oscar Corcho, Petar Ristoski, and Mehwish Alam, eds. The Semantic Web. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77385-4.

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Book chapters on the topic "Semantic web"

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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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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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Teymourian, Kia, and Adrian Paschke. "Semantic Enrichment of Event Stream for Semantic Situation Awareness." In Semantic Web, 185–212. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_10.

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Hillerbrand, Eric. "Semantic Web and Business: Reaching a Tipping Point?" In Semantic Web, 213–29. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_11.

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Workman, Michael, and Daniel Riding. "Semantic Cognition and the Ontological to Epistemic Transformation: Using Technologies to Facilitate Understanding." In Semantic Web, 7–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_2.

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Workman, Michael. "Using Symbols for Semantic Representations: A Pilot Study of Clinician Opinions of a Web 3.0 Medical Application." In Semantic Web, 31–38. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_3.

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Bobed, Carlos, Roberto Yus, Fernando Bobillo, Sergio Ilarri, Jorge Bernad, Eduardo Mena, Raquel Trillo-Lado, and Ángel Luis Garrido. "Emerging Semantic-Based Applications." In Semantic Web, 39–83. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_4.

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Crapo, Andrew W., and Steven Gustafson. "Semantics: Revolutionary Breakthrough or Just Another Way of Doing Things?" In Semantic Web, 85–118. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_5.

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Bimson, Kent D., and Richard D. Hull. "Unnatural Language Processing: Characterizing the Challenges in Translating Natural Language Semantics into Ontology Semantics." In Semantic Web, 119–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_6.

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Bimson, Kent D., Richard D. Hull, and Daniel Nieten. "The Lexical Bridge: A Methodology for Bridging the Semantic Gaps between a Natural Language and an Ontology." In Semantic Web, 137–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16658-2_7.

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Conference papers on the topic "Semantic web"

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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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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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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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Dokulil, Jiri, Jaroslav Tykal, Jakub Yaghob, and Filip Zavoral. "Semantic Web Infrastructure." In International Conference on Semantic Computing (ICSC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icosc.2007.4338351.

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Prazeres, Cássio V. S., Cesar A. C. Teixeira, Ethan V. Munson, and Maria da Graça C. Pimentel. "Semantic web services." In the 2009 ACM symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1529282.1529421.

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Staab, Steffen. "The semantic web." In EICS'15: ACM SIGCHI Symposium on Engineering Interactive Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2774225.2777465.

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"SEMANTIC WEB BROWSING." In 3rd International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0001276204000403.

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Degler, Duane, Scott Henninger, and Lisa Battle. "Semantic web HCI." In CHI '07 extended abstracts. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1240866.1240921.

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An, Yoo Jung, James Geller, Yi-Ta Wu, and Soon Ae Chun. "Semantic deep web." In the 2007 ACM symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1244002.1244355.

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Marshall, Catherine C., and Frank M. Shipman. "Which semantic web?" In the fourteenth ACM conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/900051.900063.

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Reports on the topic "Semantic 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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Lieberman, Joshua, ed. Geospatial Semantic Web Interoperabiltiy Experiment Report. Open Geospatial Consortium, Inc., August 2006. http://dx.doi.org/10.62973/06-002r1.

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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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Sadeh, Norman M. Semantic Web Technologies for Mobile Context-Aware Services. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada449095.

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You might also be interested in the extended bibliographies on the topic 'Semantic web' for particular source types:
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