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Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Multimedia web ontology language"

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Chebotko, Artem, Yu Deng, Shiyong Lu, Farshad Fotouhi, and Anthony Aristar. "An Ontology-Based Multimedia Annotator for the Semantic Web of Language Engineering." International Journal on Semantic Web and Information Systems 1, no. 1 (January 2005): 50–67. http://dx.doi.org/10.4018/jswis.2005010104.

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2

Rinaldi, Antonio M. "Enabling semantic technologies using multimedia ontology." Encyclopedia with Semantic Computing and Robotic Intelligence 01, no. 01 (March 2017): 1630008. http://dx.doi.org/10.1142/s2425038416300081.

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The new vision of the Web as a global intelligent repository needs advanced knowledge structure to manage complex data and services. From this perspective, the use of formal models to represent information on the web is a suitable way to allow the cooperation of users and services. This paper describes a general ontological approach to represent knowledge using multimedia data and linguistic properties to bridge the gap between the target semantic classes and the available low-level multimedia descriptors. We choose to implement our approach in a system to edit, manage and share multimedia ontology in the WEB. The system provides tools to add multimedia objects by means of user interaction. The multimedia features are automatically extracted using algorithms based on standard MPEG-7 descriptors.
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3

Alhawiti, Mohamed, and Yasser Abdelhamid. "Collection of Web Multimedia Teaching Resources Using Ontology." International Journal of Information and Education Technology 6, no. 4 (2016): 269–74. http://dx.doi.org/10.7763/ijiet.2016.v6.698.

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4

Mannan, J. Mannar, M. Sundarambal, and S. Raghul. "SELECTION OF ONTOLOGY FOR WEB SERVICE DESCRIPTION LANGUAGE TO ONTOLOGY WEB LANGUAGE CONVERSION." Journal of Computer Science 10, no. 1 (January 1, 2014): 45–53. http://dx.doi.org/10.3844/jcssp.2014.45.53.

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5

Saha, Goutam Kumar. "Web ontology language (OWL) and semantic web." Ubiquity 2007, September (September 2007): 1. http://dx.doi.org/10.1145/1295289.1295290.

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6

Jakkilinki, R., N. Sharda, and I. Ahmad. "MUDPY ontology: a tool for multimedia project planning, design and development." Journal of Enterprise Information Management 19, no. 2 (March 1, 2006): 165–74. http://dx.doi.org/10.1108/17410390610645067.

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PurposeThis paper seeks to describe the process used to develop the multimedia design and planning pyramid (MUDPY) ontology, and the role played by the MUDPY ontology as a planning, design and development tool in multimedia projects.Design/methodology/approachThe MUDPY model was implemented for the semantic web by developing an ontology for it. This ontology facilitates defining the concepts existing in that domain, their attributes and the relationships between them.FindingsThe MUDPY ontology can guide developers through the various phases of a multimedia project in a systematic fashion by allowing them to create a project proposal, specify the functional requirements, decide on the navigational structure and create a storyboard, and thus create high‐quality projects.Research limitations/implicationsThe current system is a prototype. This MUDPY ontology can be extended by adding more classes in order to increase its functionality; for example, one can develop special plug‐in widgets to generate project reports required during multimedia project planning and design.Practical implicationsBy using the MUDPY ontology, developers can follow a systematic process for project development, and better manage the complexity of multimedia projects.Originality/valueThe paper introduces the MUDPY model and its ontology, and shows a multimedia author the pathway to manage a multitude of concepts and assets required in a multimedia project.
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7

Milea, V., F. Frasincar, and U. Kaymak. "tOWL: A Temporal Web Ontology Language." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42, no. 1 (February 2012): 268–81. http://dx.doi.org/10.1109/tsmcb.2011.2162582.

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MaduraiMeenachi, N., and M. Sai Baba. "Web Ontology Language Editors for Semantic Web- A Survey." International Journal of Computer Applications 53, no. 12 (September 25, 2012): 12–16. http://dx.doi.org/10.5120/8472-2398.

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9

Uma, R., and K. Muneeswaran. "OMIR: Ontology-Based Multimedia Information Retrieval System for Web Usage Mining." Cybernetics and Systems 48, no. 4 (March 13, 2017): 393–414. http://dx.doi.org/10.1080/01969722.2017.1285163.

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Thirupathi, Lingala, and Venkata Nageswara Rao Padmanabhuni. "Protection Policy Implementation using Web Ontology Language." International Journal of Engineering Trends and Technology 70, no. 8 (August 31, 2022): 453–62. http://dx.doi.org/10.14445/22315381/ijett-v70i8p246.

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Дисертації з теми "Multimedia web ontology language"

1

Alaca, Aygul Filiz. "Natural Language Query Processing In Ontology Based Multimedia Databases." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611816/index.pdf.

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In this thesis a natural language query interface is developed for semantic and spatio-temporal querying of MPEG-7 based domain ontologies. The underlying ontology is created by attaching domain ontologies to the core Rhizomik MPEG-7 ontology. The user can pose concept, complex concept (objects connected with an &ldquo
AND&rdquo
or &ldquo
OR&rdquo
connector), spatial (left, right . . . ), temporal (before, after, at least 10 minutes before, 5 minutes after . . . ), object trajectory and directional trajectory (east, west, southeast . . . , left, right, upwards . . . ) queries to the system. Furthermore, the system handles the negative meaning in the user input. When the user enters a natural language (NL) input, it is parsed with the link parser. According to query type, the objects, attributes, spatial relation, temporal relation, trajectory relation, time filter and time information are extracted from the parser output by using predefined rules. After the information extraction, SPARQL queries are generated, and executed against the ontology by using an RDF API. Results are retrieved and they are used to calculate spatial, temporal, and trajectory relations between objects. The results satisfying the required relations are displayed in a tabular format and user can navigate through the multimedia content.
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2

Suresh, Raju Vishnu. "Verifying arbitrary safety-related rules using Web Ontology Language." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-251652.

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This project work has been undertaken in order to explore the possibility of verifying arbitrary safety-related rules in the context of heavy vehicles subject to ISO26262 functional safety standard of vehicle correctness using semantic web reasoning techniques that are in Linked Data format. The aim is to further use this as a method to claim functional safety for different configuration of vehicles, in a highly automated way. The ability of current system of tools to perform the verification involves manual work and is difficult to perform because of the size and complexity of the data. The entire work was studied and implemented within Scania, where in the integrated data from system safety department, in the Linked Data format was used for the implementation of the tool. The project work was proceeded in two stages. The initial stage of the project was surveying the existing reasoners and their applications to different problems in verification of rules, on the basis of different comparison criteria’s and benchmark results. The second stage of project involved determining a suitable way to represent the rules, in order to verify them against the available data.
Detta examensarbete har genomförts för att undersöka möjligheten att verifiera godtyckliga säkerhetsrelaterade regler i samband med tunga fordon som omfattas av ISO 26262 funktionell standard för fordonsäkerhet, med hjälp av semantiska webresoneringsmetoder i länkat dataformat. Syftet är att använda detta vidare som en högt automatiserad metod för funktionell säkerhet för olika fordonskonfigurationer. Det nuvarande systemet med verktyg för att utföra verifieringen innebär manuellt arbete och är svårt att använda på grund av datas storlek och komplexitet. Examensarbetet utfördes inom Scania, där data tillhandahölls av systemsäkerhetsavdelningen. För implementering av verktyget användes länkade data. Arbetets första steg var att kartlägga de befintliga resonerarna och deras tillämpningar på olika problem vid kontrollen av regler baserade på olika jämförelsekriterier och benchmarkresultat. Den andra etappen av projektet var att bestämma ett lämpligt sätt att representera reglerna för att verifiera dem mot tillgängliga data.
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3

Farrar, Scott O. "An ontology for linguistics on the Semantic Web." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/289879.

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The current research presents an ontology for linguistics useful for an implementation on the Semantic Web. By adhering to this model, it is shown that data of the kind routinely collected by field linguists may be represented so as to facilitate automatic analysis and semantic search. The literature concerning typological databases, knowledge engineering, and the Semantic Web is reviewed. It is argued that the time is right for the integration of these three areas of research. Linguistic knowledge is discussed in the overall context of common-sense knowledge representation. A three-layer approach to meaning is assumed, one that includes conceptual, semantic, and linguistic levels of knowledge. In particular the level of semantics is shown to be crucial for a notional account of grammatical categories such as tense, aspect, and case. The level of semantic is viewed as an encoding of common-sense reality. To develop the ontology an upper model based on the Suggested Upper Merged Ontology (SUMO) is adopted, though elements from other ontologies are utilized as well. A brief comparison of available upper models is presented. It is argued that any ontology for linguistics should provide an account of at least (1) linguistic expressions, (2) mental linguistic units, (3) linguistic categories, and (4) discrete semantic units. The concepts and relations concerning these four domains are motivated as part of the ontology. Finally, an implementation for the Semantic Web is given by discussing the various data constructs necessary for markup (interlinear text, lexicons, paradigms, grammatical descriptions). It is argued that a characterization of the data constructs should not be included in the general ontology, but should be left up to the individual data provider to implement in XML Schema. A search scenario for linguistic data is discussed. It is shown that an ontology for linguistics provides the machinery for pure semantic search, that is, an advanced search framework whereby the user may use linguistic concepts, not just simple strings, as the search query.
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4

Sengupta, Kunal. "A Language for Inconsistency-Tolerant Ontology Mapping." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1441044183.

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5

Lacy, Lee. "ITERCHANGING DISCRETE EVENT SIMULATIONPROCESS INTERACTION MODELSUSING THE WEB ONTOLOGY LANGUAGE - OWL." Doctoral diss., University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3332.

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Discrete event simulation development requires significant investments in time and resources. Descriptions of discrete event simulation models are associated with world views, including the process interaction orientation. Historically, these models have been encoded using high-level programming languages or special purpose, typically vendor-specific, simulation languages. These approaches complicate simulation model reuse and interchange. The current document-centric World Wide Web is evolving into a Semantic Web that communicates information using ontologies. The Web Ontology Language – OWL, was used to encode a Process Interaction Modeling Ontology for Discrete Event Simulations (PIMODES). The PIMODES ontology was developed using ontology engineering processes. Software was developed to demonstrate the feasibility of interchanging models from commercial simulation packages using PIMODES as an intermediate representation. The purpose of PIMODES is to provide a vendor-neutral open representation to support model interchange. Model interchange enables reuse and provides an opportunity to improve simulation quality, reduce development costs, and reduce development times.
Ph.D.
Department of Industrial Engineering and Management Systems
Engineering and Computer Science
Modeling and Simulation
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6

Kavalec, Martin. "Ontology Learning and Information Extraction for the Semantic Web." Doctoral thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-452.

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The work gives overview of its three main topics: semantic web, information extraction and ontology learning. A method for identification relevant information on web pages is described and experimentally tested on pages of companies offering products and services. The method is based on analysis of a sample web pages and their position in the Open Directory catalogue. Furthermore, a modfication of association rules mining algorithm is proposed and experimentally tested. In addition to an identification of a relation between ontology concepts, it suggest possible naming of the relation.
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7

Tewolde, Noh Teamrat. "Evaluating a Semantic Approach to Address Data Interoperability." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/46272.

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Semantic approaches have been used to facilitate interoperability in different fields of study. Current literature, however, shows that the semantic approach has not been used to facilitate the interoperability of addresses across domains. Addresses are important reference data used to identify locations and /or delivery points. Interoperability of address data across address or application domains is important because it facilitates the sharing of address data, addressing software and tools which can be used across domains. The aim of this research study has been to evaluate how a semantic (ontologies) approach could be used to facilitate address data interoperability and what the challenges and benefits of the semantic approach are. To realize the hypothesis and answer the research problems, a multi-tier hierarchy of ontology architecture was designed to integrate (across domain) address data with different levels of granularities. Four-tier hierarchy of ontologies was argued to be the optimal architecture for address data interoperability. At the top of the hierarchy was Foundation-Tier that includes vocabularies for location-related information and semantic language rules and concepts. The second tier has address reference ontology (called Base Address Ontology) that was developed to facilitate interoperability across the address domains. Developing optimal address reference ontology was one of the major goals of the research. Different domain ontologies were developed at the third tier of the hierarchy. Domain ontologies extend the vocabulary of the BAO (address reference ontology) with domain specific concepts. At the bottom of the hierarchy are application ontologies that are designed for specific purpose within an address domain or domains. Multiple scenarios of address data usage were considered to answer the research questions from different perspectives. Two interoperable address systems were developed to demonstrate the proof of concepts for the semantic approach. These interoperable environments were created using the UKdata+UPUdata ontology and UKpostal ontology, which illustrate different use cases of ontologies that facilitate interoperability. Ontology reason, inference, and SPARQL query tools were used to share, exchange, and process address data across address domains. Ontology inferences were done to exchange address data attributes between the UK administrative address data and UK postal service address data systems in the UKdata+UPUdata ontology. SPARQL queries were, furthermore, run to extract and process information from different perspective of an address domain and from combined perspectives of two (UK administrative and UK postal) address domains. The second interoperable system (UKpostal ontology) illustrated the use of ontology inference tools to share address data between two address data systems that provide different perspectives of a domain.
Dissertation (MSc)--University of Pretoria, 2014.
tm2015
Computer Science
MSc
Unrestricted
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8

Gao, Yongchun 1977. "The application of Web Ontology Language for information sharing in the dairy industry /." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97957.

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In this thesis the Semantic Web and its core technology---Web Ontology Language (OWL)---were studied. Considering the features of the different units involved in the dairy industry, OWL, in its capacity as an ontology description language, can be used to encode and thus exchange ontology among the units in the dairy industry. After creation of OWL file using Protege, an OWL parser was programmed to decode the ontology and data contained in the OWL file. Based on these investigations, it was determined that OWL can be used to encode, exchange, and decode data between farms and the units that interact with them, although large volumes of data among the service agencies pose certain challenges in terms of transfer size. A structure of the Semantic Web services in the dairy industry is proposed for Semantic Web Service registration, search and usage related to certain farm-management tasks. With the help of the Semantic Web and OWL, one can expect a more efficient data processing in the future dairy industry.
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Santos, Laécio Lima dos. "PR-OWL 2 RL : um formalismo para tratamento de incerteza na web semântica." reponame:Repositório Institucional da UnB, 2016. http://repositorio.unb.br/handle/10482/21547.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, Programa de Pós-Graducação em Informática, 2016.
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A Web Semântica (WS) adiciona informações semânticas a Web tradicional, permitindo que os computadores entendam conteúdos antes acessíveis apenas aos humanos. A Ontology Web Language (OWL), linguagem padrão para criação de ontologias na WS, se baseia em lógica descritiva para permitir uma modelagem formal de um domínio de conhecimento. A OWL, no entanto, não possui suporte para tratamento de incerteza, presente em diversas situações, o que motivou o estudo de várias alternativas para tratar este problema. O Probabilistic OWL (PR-OWL) adiciona suporte à incerteza ao OWL utilizando Multi-Entity Bayesian Networks (MEBN), uma linguagem probabilística de primeira ordem. A inferência no MEBN ocorre através da geração de uma rede bayesiana específica de situação (SSBN). O PR-OWL 2 estende a linguagem original oferecendo uma maior integração com o OWL e permitindo a construção de ontologias que mesclam conhecimento determinístico e probabilístico. PR-OWL não permite lidar com domínios que contenham bases assertivas muito grandes. Isto se deve a alta complexidade computacional da lógica descritiva na qual a OWL é baseada e ao fato de que as máquinas de inferência utilizadas nas implementações das versões do PR-OWL requerem que a base assertiva esteja carregada em memória. O presente trabalho propõe o PR-OWL 2 RL, uma versão escalável do PR-OWL baseada no profile OWL 2 RL e em triplestores. O OWL 2 RL permite raciocínio em tempo polinomial para as principais tarefas de inferência. Triplestores permitem armazenar triplas RDF (Resource Description Framework) em bancos de dados otimizados para trabalhar com grafos. Para permitir a geração de SSBN para bases contendo muitas evidências, este trabalho propõe um novo algoritmo, escalável ao instanciar nós de evidência apenas caso eles influenciem o nó objetivo. O plug-in PR-OWL 2 RL para o framework UnBBayes foi desenvolvido para permitir uma avaliação experimental dos algoritmos propostos. O estudo de caso abordado foi o de fraudes em licitações públicas. _______________________________________________________________________________________________ ABSTRACT
Semantic Web (SW) adds semantic information to the traditional Web, allowing computers to understand content before accessible only by human beings. The Web Ontology Language (OWL), main language for building ontologies in SW, allows a formal modeling of a knowledge domain based on description logics. OWL, however, does not support uncertainty. This restriction motivated the creation of several extensions of this language. Probabilistic OWL (PROWL) improves OWL with the ability to treat uncertainty using Multi-Entity Bayesian Networks (MEBN). MEBN is a first-order probabilistic logic. Its inference consists of generating a Situation Specific Bayesian Network (SSBN). PR-OWL 2 extends the PR-OWL offering a better integration with OWL and its underlying logic, allowing the creation of ontologies with deterministic and probabilistic parts. PR-OWL, however, does not deal with very large assertive bases. This is due to the high computational complexity of the description logic of OWL. Another fact is that reasoners used in PR-OWL implementation require that the data be fully load into memory at the time of inference. To address this issue, this work proposes PR-OWL 2 RL, a scalable version of PR-OWL based on OWL 2 RL profile and on triplestores. OWL 2 RL allows reasoning in polynomial time for the main reasoning tasks. Triplestores can store RDF (Resource Description Framework) triples in databases optimized to work with graphs. To allow the generation of SSBNs for databases with large evidence base, this work proposes a new algorithm that is scalable because it instantiates an evidence node only if it influence a target node. A plug-in for the UnBBayes framework was developed to allow an empirical evaluation of the new algorithms proposed. A case study over frauds into procurements was carried on.
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10

Johannes, Elisabeth. "DEUTSCH 1, 2, 3!! : an interactive, multimedia, web-based program for the German foreign language classroom." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/741.

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Книги з теми "Multimedia web ontology language"

1

Anupama, Mallik, and Ghosh Hiranmay, eds. Multimedia ontology: Representation and applications. Boca Raton, Florida: CRC Press, 2016.

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2

SMIL: Adding multimedia to the Web. Indianapolis: Sams, 2002.

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3

HTML5 multimedia: Develop and design. Berkeley, Calif: Peachpit Press, 2012.

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4

Inc, ebrary, ed. TYPO3 4.3 multimedia cookbook: Over 50 great recipes for effectively managing multimedia content to create an organized website in TYPO3. Birmingham [England]: Packt Pub., 2010.

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5

Hitzler, Pascal. Foundations of Semantic Web technologies. Boca Raton, Fla: Chapman & Hall/CRC Press, 2009.

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6

J, Hinrichs Randy, ed. Web page design: A different multimedia. Mountain View, Calif: SunSoft Press, 1996.

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7

Lee, Jordan, and ebrary Inc, eds. HTML5 multimedia development cookbook: Recipes for practical, real-world HTML5 multimedia-driven development. Olton, Birmingham: Packt Pub., 2011.

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8

Bluttman, Ken. HTML5 multimedia developer's guide. New York: McGraw-Hill, 2012.

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9

C, Leonard David, and Dillon Patrick M, eds. Multimedia and the Web from A to Z. 2nd ed. Phoenix, AZ: Oryx Press, 1998.

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10

Brown, Mandy, ed. HTML5 For Web Designers. New York, USA: A Book Apart, 2010.

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Частини книг з теми "Multimedia web ontology language"

1

Hogan, Aidan. "Web Ontology Language." In The Web of Data, 185–322. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51580-5_5.

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2

Yu, Liyang. "OWL: Web Ontology Language." In A Developer’s Guide to the Semantic Web, 155–239. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15970-1_5.

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3

Antoniou, Grigoris, and Frank van Harmelen. "Web Ontology Language: OWL." In Handbook on Ontologies, 91–110. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92673-3_4.

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4

Antoniou, Grigoris, and Frank van Harmelen. "Web Ontology Language: OWL." In Handbook on Ontologies, 67–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24750-0_4.

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5

Sengupta, Kunal, and Pascal Hitzler. "Web Ontology Language (OWL)." In Encyclopedia of Social Network Analysis and Mining, 1–6. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_113-1.

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Yu, Liyang. "OWL: Web Ontology Language." In A Developer’s Guide to the Semantic Web, 169–263. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43796-4_5.

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Musen, Mark A. "Web Ontology Language (OWL)." In Encyclopedia of Systems Biology, 2350–51. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1519.

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Bechhofer, Sean. "OWL: Web Ontology Language." In Encyclopedia of Database Systems, 2008–9. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1073.

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Sengupta, Kunal, and Pascal Hitzler. "Web Ontology Language (OWL)." In Encyclopedia of Social Network Analysis and Mining, 2374–78. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_113.

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Bechhofer, Sean. "OWL: Web Ontology Language." In Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_1073-2.

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Тези доповідей конференцій з теми "Multimedia web ontology language"

1

Nakamura, Yoshih. "Unskilled User Support for Network Operation Based on Service Composition Using Web Ontology Languages." In 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP). IEEE, 2009. http://dx.doi.org/10.1109/iih-msp.2009.193.

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2

Yu, Qing, and Jinlin Wang. "Extending Ontology Language for Semantic Web." In 2007 International Conference on Computational Intelligence and Security Workshops (CISW 2007). IEEE, 2007. http://dx.doi.org/10.1109/cisw.2007.4425459.

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3

Cao, Son Thanh, Linh Anh Nguyen, and Andrzej Szalas. "WORL: A Web Ontology Rule Language." In 2011 Third International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2011. http://dx.doi.org/10.1109/kse.2011.14.

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4

Pauwels, P., E. Corry, and J. O'Donnell. "Representing SimModel in the Web Ontology Language." In 2014 International Conference on Computing in Civil and Building Engineering. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413616.282.

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Papaioannou, I. V., D. T. Tsesmetzis, I. G. Roussaki, and M. E. Anagnostou. "A QoS ontology language for Web-services." In 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06). IEEE, 2006. http://dx.doi.org/10.1109/aina.2006.51.

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Adelkhah, Razieh, Mehrnoush Shamsfard, and Niloofar Naderian. "The Ontology of Natural Language Processing." In 2019 5th International Conference on Web Research (ICWR). IEEE, 2019. http://dx.doi.org/10.1109/icwr.2019.8765269.

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Pena, Alejandro, Humberto Sossa, and Francisco Gutierrez. "Web-Services based Ontology Agent." In The 2nd International Conference on Distributed Frameworks for Multimedia Applications. IEEE, 2006. http://dx.doi.org/10.1109/dfma.2006.296903.

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Kim, Su-Kyoung. "Implementation of Web Ontology for Semantic Web Application." In Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/alpit.2007.90.

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Jianliang, Xu, and Ma Xiaowei. "A Web-Based Ontology Evaluation System." In 2008 International Conference on Advanced Language Processing and Web Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/alpit.2008.28.

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Loia, V., C. De Maio, G. Fenza, and S. Senatore. "OWL-FC Ontology Web Language for fuzzy control." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584268.

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Звіти організацій з теми "Multimedia web ontology language"

1

Sycara, Katia P. Semantic Web Services with Web Ontology Language (OWL-S) - Specification of Agent-Services for DARPA Agent Markup Language (DAML). Fort Belvoir, VA: Defense Technical Information Center, August 2006. http://dx.doi.org/10.21236/ada457387.

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2

Metcalf, Chris, and Grace A. Lewis. Model Problems in Technologies for Interoperability: OWL Web Ontology Language for Services (OWL-S). Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada452978.

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3

Borgwardt, Stefan, Marco Cerami, and Rafael Peñaloza. Subsumption in Finitely Valued Fuzzy EL. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.212.

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Анотація:
Aus der Einleitung: Description Logics (DLs) are a family of knowledge representation formalisms that are successfully applied in many application domains. They provide the logical foundation for the Direct Semantics of the standard web ontology language OWL2. The light-weight DL EL, underlying the OWL2 EL profile, is of particular interest since all common reasoning problems are polynomial in this logic, and it is used in many prominent biomedical ontologies like SNOMEDCT and the Gene Ontology.
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Shapovalov, Viktor B., Yevhenii B. Shapovalov, Zhanna I. Bilyk, Artem I. Atamas, Roman A. Tarasenko, and Vitaliy V. Tron. Centralized information web-oriented educational environment of Ukraine. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3251.

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Анотація:
The modern development of science and technology has provided high quantity of information. This information must be systemized and classified. For taxonomization of educational materials, it was proposed to use existing graph-generators and graph-visualizers of the TODOS IT platform. A separate aspect of the TODOS IT platform is the possibility of using a centralized web-oriented learning environment. Creation of the system and transdisciplinary knowledge is a problem of modern education, which can be solved by creating a centralized web-oriented educational environment. Using this approach is an important part of the learning process. Such a centralized web-oriented environment based on the ontological approach involves filling, adaptive educational services with information resources that reflect the conceptual system of a particular discipline. One of the systems providing not only collection of information but include its systemizing is centralized web-oriented educational environment based on Ontology4 system. Ontology 4 use elements of the TODOS. The paper presents specific developments of one centralized web-oriented educational environment can be used to teach different subjects such as biology, chemistry, Ukrainian language and literature, using the STEM approach.
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Baader, Franz, Stefan Borgwardt, and Barbara Morawska. Constructing SNOMED CT Concepts via Disunification. Technische Universität Dresden, 2017. http://dx.doi.org/10.25368/2022.237.

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Анотація:
Description Logics (DLs) [BCM+07] are prominent modeling formalisms underlying the Web Ontology Language (OWL). The lightweight DL EL in particular is used to formulate many biomedical ontologies. DLs allow to represent subconcept-superconcept relationships between concepts, e.g., diseases, as well as more complex correspondences. Unification in DLs has been proposed as a non-standard reasoning task to detect redundant concepts in ontologies [BN01, BM10b]. Recently, disunification in EL has been investigated and several algorithms were proposed to solve disunification problems [BBM16].
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