Springer, Heidelberg (2008), Völker, J., Rudolph, S.: Fostering web intelligence by semi-automatic OWL ontology refinement. (eds.) Peer-to-Peer Computing, pp. Springer, Heidelberg (2006), Mizoguchi, R., Kozaki, K.: Ontology engineering environments. Springer, Berlin (2007). Lecture Notes in Artificial Intelligence, vol. International Handbooks on Information Systems, 2nd edn, pp. : A service oriented ontology management framework in the automotive retail domain. Syst. In: Proceedings of the 18th International Symposium on Computer-Based Medical Systems (CBMS 2005), Dublin, pp. Ontologies on the Semantic Web 411 Ontology vocabulary RDF + rdfschema ~, Not surprisingly, the vision of the Semantic Web‘s founders is located at the ambitious end of this spectrum. Steffen Staab (29) ISWeb–Informationssysteme & … (eds.) 161–169. This was the second time (EKAW 2000 being the first) that the event was organized as a conference rather than as the usual workshop (hence the acronym: European Knowledge Acquisition Workshop). In: Buitelaar, P., Cimiano, P. 5554, pp. Doerr, M.: The CIDOC conceptual reference module: an ontological approach to semantic interoperability of metadata. 897–912. Not affiliated The problem of creating machine-accessible content on the Web is not new, and much effort has been invested in trying to solve it. 122–136. European Language Resources Association (2006), Heyer, G., Läuter, M., Quasthoff, U., Wittig, T., Wolff, C.: Learning relations using collocations. The investigations in this field were strongly enforced by the articulation of the vision of the Semantic Web, which was envisaged as an improved World Wide Web that allows users to search for actual content, instead of text. Word, Pantel, P., Crestan, E., Borkovsky, A., Popescu, A.-M., Vyas, V.: Web-scale distributional similarity and entity set expansion. ACM, New York (2009), Etzioni, O., Banko, M., Soderland, S., Weld, D.S. (eds.) Therefore it is no wonder that the main application scenarios for ontologies today are in the Semantic Web and in knowledge management. ): Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information. Ontol. J. Cambridge University Press, Cambridge (2003), Kifer, M., Lausen, G., Wu, J.: Logical foundations of object-oriented and frame-based languages. In: Proceedings of the Workshop on Integrating Data Mining and Knowledge Management at the First International Conference on Data Mining (ICDM 2001), San Jose (2001), Buitelaar, P., Olejnik, D., Sintek, M.: A protégé plug-in for ontology extraction from text based on linguistic analysis. 6, pp. In: Buitelaar, P., Cimiano, P., Magnini, B. 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For querying RDF data as well as RDFS and OWL ontologies with knowledge bases, a Simple Protocol and RDF Query Language (SPARQL) is available. Mentzas, G., Friesen, A. In: Proceedings of the 17th International Conference on Conceptual Structures (ICCS 2009), Moscow (2009). (eds.) GIS. The ontologies are a way to model knowledge more precisely knowledge bases. SEKE-2006, pp. Springer, Berlin (2008). It also provides detailed, consistent and meaningful distinctions between classes, properties and relationships. Language, Speech, & Communication. (eds.) In: Cardoso, J., et al. In: McIlraith, S.A., et al. Bechhofer, S., Yesilada, Y., Stevens, R., Jupp, S., Horan, B.: Using ontologies and vocabularies for dynamic linking. (eds.) PoolParty is a powerful solution at your disposal for semantic data integration and professional knowledge management. J. Metadata Semant. Syst. Technical report 3.8.2. IOS Press, Amsterdam (2004), Faure, D., Nédellec, C.: Knowledge acquisition of predicate argument structures from technical texts using machine learning: the system ASIUM. Proceedings of the Seventh International Semantic Web Conference (ISWC 2008), Karlsruhe. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database. The Semantic Web was thought up by Tim Berners-Lee, inventor of the WWW, URIs, HTTP, and HTML. In: Cardoso, J., et al. Proceedings of the Third International Semantic Web Conference (ISWC 2004), Hiroshima. Thursday, 11 May 2006 Last year, I suggested that the Web 2.0 hype could be partly responsible for a lack of interest in the Semantic Web. (eds. In: Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007), Bled, pp. John Wiley & Sons, Ltd. 298-302 • Ontologies are the backbone of the Semantic Web. In the following sections I will describe some of this work in a little more detail. 125–131. : Semantic integration research in the database community: a brief survey. (eds.) Lecture Notes in Computer Science, vol. Lecture Notes in Artificial Intelligence, vol. Appl. Learn more in: Using Semantic Web Tools for Ontologies Construction ACM, New York (2004), Zheng, G., Bouguettaya, A.: Discovering pathways of service oriented biological processes. 5021, pp. 95–101. Springer, Berlin (2005), Noy, N., McGuinness, D.L. 41–50 (2005), Happel, H.-J., Korthaus, A., Seedorf, S., Tomczyk, P.: KOntoR: an ontology-enabled approach to software reuse. Inf. 3532. These annotations are built on ontologies, representing domains through their concepts and the semantic relations between them. In: Buitelaar, P., Cimiano, P. 123. Abecker, A., Bernardi, A., Hinkelmann, K., Kühn, O., Sintek, M.: Toward a technology for organizational memories. (ed.) J. Comput. Proceedings of the Fourth International Semantic Web Conference (ISWC 2005), Galway. Proceedings of the First International Workshop on Ontology Repository and Editors for the Semantic Work (ORES 2010) at Seventh Extended Semantic Web Conference (ESWC 2010), Heraklion. This is a preview of subscription content, Guarino, N., Giaretta, P.: Ontologies and knowledge bases: towards a terminological clarification. Biographies Tom Hagedorn, PhD , is a senior research fellow in the Department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst. (eds.) Bhogal, J., Macfarlane, A., Smith, P.: A review of ontology-based query expansion. Lecture Notes in Computer Science, vol. In: Eschenbach, C., Grüninger, M. It relies on rich metadata, called semantic annotations, offering explicit semantic descriptions of Web resources. 210–218. (eds.) As such, similarly to OWL, SHACL can be applied to validate data. : An ontology-based context model in intelligent environments. J. Semant. For example, they can support semantic searches – e.g. Proceedings of the First International Conference on Formal Ontologies in Information Systems (FOIS 1998), Trento, pp. In: Manolopoulos, Y., Filipe, J., Constantopoulos, P., Cordeiro, J. 3298. Springer, Berlin (2008). (eds.) In: Veloso, M.M. J. The Semantic Web: Real-World Applications from Industry. Sidoroff, T., Hyvönen, E.: Semantic e-government portals – a case study. Springer, Berlin (2006), Studer, R., Grimm, S., Abecker, A. 83–92. (eds.) ACM, New York (1993). IOS Press, Amsterdam (2005), Nováček, V., Smrž, P.: OLE – a new ontology learning platform. In: Dillon, T.S., Chang, E., Meersman, R., Sycara, K. AAAI Press, Menlo Park (2007), Völker, J., Rudolph, S.: Lexico-logical acquisition of OWL DL axioms – an integrated approach to ontology refinement. Semantic Web & Ontologies • How are we going to represent meaning and knowledge on the web? The history of artificial intelligence demonstrates that knowledge is critical for intelligent techniques. (eds.) Lecture Notes in Computer Science, vol. This volume contains 8 papers on Knowledge Acquisition, 4 about Knowledge Management, 16 on Ontologies, and 6 papers about the Semantic Web. 5318, pp. Expert Syst. Web Grid Serv. Blohm, S., Cimiano, P., Stemle, E.: Harvesting relations from the web – quantifying the impact of filtering functions. ACM, New York (2004), Pantel, P., Pennacchiotti, M.: Espresso: leveraging generic patterns for automatically harvesting semantic relations. : Argumentation-based ontology engineering. (eds.) BIRNLex: An ontology created by and for the Biomedical Informatics Research Network (BIRN) in order to provide a shared semantic framework in which to annotate BIRN data related to multi-resolutional, cross-species studies of neurodegenerative disease. EUC. This chapter will present ontologies as one of the major cornerstones of Semantic Web technology. Alexopoulou, D., et al. 329–346. 479–484. Maier, A., Schnurr, H.-P., Sure, Y.: Ontology-based information integration in the automotive industry. Trans. Hepp, M.: GoodRelations: an ontology for describing products and services offers on the web. Two standards are emerging - RIF and SWRL . ICEIS (Selected Papers). The Semantic Web: Real-World Applications from Industry. In: Plexousakis, D., McIlraith, S., van Harmelen, F. Agent Syst. Eng. ): CASCOM: Intelligent Service Coordination in the Semantic Web. Ph.D. thesis, Universität Karlsruhe (TH) (2006), Krötzsch, M., Rudolph, S., Hitzler, P.: Description logic rules. AAAI 2008 Spring Symposium on Symbiotic Relationships between Semantic Web and Knowledge Engineering. In: Proceedings of the Workshop on Basic Ontological Issues in Knowledge Sharing at International Joint Conference on Artificial Intelligence (IJCAI 1995), Montreal (1995). IEEE Intell. 3257, pp. Syst. Rev. Semantic Web Ontologies. The Semantic Web Ontology Learning for the Semantic Web Alexander Maedche and Steffen Staab, University of Karlsruhe The Semantic Web relies heavily on formal ontologies to structure data for com-prehensive and transportable machine understanding. Vaquero, L.M., Rodero-Merino, L., Caceres, J., Lindner, M.: A break in the clouds: towards a cloud definition. Stanford University, Palo Alto (2008), Goble, C.A., Corcho, O., Alper, P., de Roure, D.: e-Science and the Semantic Web: a symbiotic relationship. Tzouveli, P., Schmidt, A., Schneider, M., Symvonis, A., Kollias, S.: Adaptive reading assistance for the inclusion of learners with dyslexia. (eds.) Which contain a set of defined terms and each is critical to the ability to express the meaning of data. In: Welty, C., Smith, B. 4273, pp. Syst. (eds.) (2001) have envisaged an automated medical informatics-literate personal assistant Richter, M.M., Aamodt, A.: Case-based reasoning foundations. (eds.) Executive Summary Semantic Web (SW) is a vision of World Wide Web Consortium for seamless integration and query of complex data of all kinds and here we describe its implementation for chemical drug-like compounds. Gugliotta, A., Domingue, J., Cabral, L., Tanasescu, V., Galizia, S., Davies, R., Gutiérrez-Villarías, L., Rowlatt, M., Richardson, M., Stincic, S.: Deploying semantic web services-based applications in the e-Government domain. Bioinform. (eds.) Proceedings of the Fifth International Workshop on Evaluation of Ontologies and Ontology-based Tools (EON 2007), co-located with Sixth International Semantic Web Conference (ISWC 2007), Busan. Proceedings of the Fourth European Semantic Web Conference (ESWC 2007), Innsbruck. Knowl. ): The Semantic Web: Real-World Applications from Industry. Such reasoning is easy to implement in semantic graph databases that use ontologies as their semantic schemata. (eds.) International Handbooks on Information Systems, 2nd edn, pp. Extensible Open Source Environment Protégé is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for … ): The GRID: Blueprint for a New Computing Infrastructure, 2nd edn. In: Proceedings of the 10th Annual International Conference on Digital Government Research (DG.O 2009), Puebla, pp. Semantic technologies and ontologies formalize knowledge as an enabler for reasoning, with interoperable ontologies enabling reason about systems engineering across domains. J. Metadata Semant. (eds.) +1 929 239 0659. the ontology sets the stage for the knowledge graph to capture the data in it. 898–902. IOS Press, Amsterdam (1998), Grimm, S.: A unifying formal ontology model. In: Proceedings of the IEEE International Conference on Web Services (ICWS-2007), Salt Lake City, pp. (eds.) Web Semant. Proceedings of the Third International Semantic Web Conference (ISWC 2004), Hiroshima. 104.225.216.131. Ontologies can be used wherever the semantics/meaning of information is to be formalized and made usable for the machine. : The use of concept maps during knowledge elicitation in ontology development processes-the nutrigenomics use case. INCOMA, Bulgaria (2005), Coppola, B., Gangemi, A., Gliozzo, A.M., Picca, D., Presutti, V.: Frame detection over the semantic web. • Semantic Web aims to make web content more accessible to automated processes – Adds semantic annotations to web resources • Ontologies provide vocabulary for annotations – Terms have well defined meaning • OWL ontology language based on (description) logic – Exploits results of basic research on complexity, reasoning, etc. (eds.) In: Proceedings of the Workshop on Multimedia and the Semantic Web at Second European Semantic Web Conference (ESWC 2005), Heraklion. In: Murugesan, S. In: Althoff, K.-D., Dengel, A., Bergmann, R., Nick, M., Roth-Berghofer, T. 220–234. J. ACM, Ullman, J.D. van Elst, L., Abecker, A.: Ontologies for information management: balancing formality, stability, and sharing scope. On-To-Knowledge: Semantic Web enabled Knowledge Management, Chapter. (eds.) J. Linguist. In: Proceedings of the Second International Conference on Rules and Rule Markup Languages for the Semantic Web (RuleML 2006), Athens, GA. Angele, J., Gesmann, M.: Integration of customer information using the semantic web. 274–288. Vrandečić, D.: Ontology evaluation. The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies. An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them. Web Semant. 17–32. (eds.) In: Buitelaar, P., Cimiano, P., Magnini, B. In: Bechhofer, S., et al. ACM, Schutz, A., Buitelaar, P.: RelExt: a tool for relation extraction from text in ontology extension. Springer, Berlin (2008), Grüninger, M., Fox, M.: Methodology for the design and evaluation of ontologies. 915–922. 126–142. For example, OWL-S is a specification, in the form of an ontology, intended to describe different Semantic Web Services features, enabling then Web users and software agents to automatically discover, invoke, select, compose and monitor Web-based services. In: López de Mántaras, R., Saitta, L. IEEE Internet Comput. Technical report, Fachbereich Informatik, TU Berlin. In: Proceedings of the 18th International Conference on World Wide Web (WWW 2009), Madrid, pp. 80–84. OWL is a semantic web computational logic-based language, designed to represent rich and complex knowledge about things and the relations between them. d’Aquin, M., Castro, A.G., Lange, C., Viljanen, K. (eds.) Hatala, M., Wakkary, R., Kalantari, L.: Rules and ontologies in support of real-time ubiquitous application. 30–39. CEUR Online Proceedings. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008), Vancouver, pp. 348–360. 3513, pp. Springer, Heidelberg (2009). Source: Jet Propulsion Laboratory. • A key idea behind the seman&c web is to address this problem by giving machine-‐accessible seman&cs via annota&on. New trends in legal ontologies and Semantic Web technologies may help to improve both professional and laymen's skills. In: Dieng, R., Corby, O. The Association for Computer Linguistics (2006), Caraballo, S.A.: Automatic construction of a hypernym-labeled noun hierarchy from text. 5318. Bizer, C., Heath, T., Berners-Lee, T.: Linked data – the story so far. : Distributional structure. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. Wiley, New York (2002). Mädche, A., Volz, R.: The text-to-onto ontology extraction and maintenance system. Brewster, C., Jupp, S., Luciano, J., Shotton, D., Stevens, R.D., Zhang, Z.: Issues in learning an ontology from text. Consequently, this new data would have to be modified before being integrated with what is already loaded in the triplestore. (eds.) Eng. Semantic Web And Beyond Computing for Human Experience, vol. ACM, New York (2005), Keller, F., Lapata, M., Ourioupina, O.: Using the web to overcome data sparseness. Hardware. Technical report. IADIS Press (2007), Mädche, A., Staab, S.: Discovering conceptual relations from text. 135–152. In: Proceedings of the IADIS European Conference on Data Mining (ECDM 2007), Lisbon, pp. Int. (eds.) 117–118. Readership. J. Biomed. Int. Tempich, C., Simperl, E., Luczak, M., Studer, R., Pinto, H.S. 14–28. J. 1700 Sofia, Bulgaria Lecture Notes in Computer Science, vol. (eds.) Springer, Berlin (2008), Klusch, M., Fries, B., Sycara, K.: Automated semantic web service discovery with OWLS-MX. Ontology Learning and Population: Bridging the Gap between Text and Knowledge. Often, data imported from a new source into the RDF triplestore would be structurally inconsistent with the constraints set using OWL. Tetlow, P., Pan, J.Z., Oberle, D., Wallace, E., Uschold, M., Kendall, E.: Ontology driven architectures and potential uses of the semantic web in systems and software engineering, W3C Working Draft, Working Group Note 2006/02/11, W3C. (eds.) Methodological aspects about the engineering of ontologies are being studied, concerning both their manual construction and (semi)automated generation. Noy, N., Fergerson, R., Musen, M.: The knowledge model of protégé-2000: combining interoperability and flexibility. tambis-full.owl: A biological science ontology developed by the TAMBIS project. IEEE Intell. Bojars, U., Heitmann, B., Oren, E.: A prototype to explore content and context on social community sites. In: Proceedings of the 27th International Conference on Conceptual Modeling (ER 2008), Barcelona, pp. Springer, Heidelberg (2009), Kauppinen, T., Väätäinen, J., Hyvönen, E.: Creating and using geospatial ontology time series in a semantic cultural heritage portal. Keller, U., Lara Hernandez, R., Fensel, D., Kifer, M., Polleres, A., Lausen, H., Zhao, C.: A logical framework for web service discovery. Manuf. At least not in the sense of OWL/first-order logic ontologies. AAAI Press (2007), Brewster, C., Iria, J., Zhang, Z., Ciravegna, F., Guthrie, L., Wilks, Y.: Dynamic iterative ontology learning. We are the company behind PoolParty - the leading semantic platform on the global market. IEEE Intell. Incoma (2005), Fortuna, B., Grobelnik, M., Mladenic, D.: OntoGen: semi-automatic ontology editor. In: Proceedings of the Fourth International Conference on Web Information Systems Engineering (WISE 2003). In: Burger, A., Paschke, A., Romano, P., Splendiani, A. However, because of the Semantic Web's distributed nature, data on it will inevitably come from many different ontologies. 539–545 (1992), Ogata, N., Collier, N.: Ontology express: statistical and non-monotonic learning of domain ontologies from text. 3, pp. J. 843–856. 719–720. the design and deployment of ontologies. Springer, Berlin (2005), Velardi, P., Navigl, R., Cucchiarelli, A., Neri, F.: Evaluation of OntoLearn, a methodology for automatic learning of domain ontologies. This site provides access to the ontologies the BBC is ... the platforms for which we produce content and the web ... enabling the interchange of programme information on the Semantic Web. 62–77. IGI Global, Hersley (2009), Haniewicz, K., Kaczmarek, M., Zyskowski, D.: Semantic web services applications – a reality check. Part of Springer Nature. In: Franconi, E., Kifer, M., May, W. In recent years, there has been an uptake of expressing ontologies using ontology languages such as the Web Ontology Language (OWL). The OSCAF ontologies derive from the contributions to a number of large-scale efforts, starting with the European project NEPOMUK (2006-2008), continuing with their adoption (and extension) by the KDE community (2009-2013), and their further extension by a second European project Digital.Me (2010-2013).. Springer, Heidelberg (2009), Presutti, V., Gangemi, A.: Content ontology design patterns as practical building blocks for web ontologies. In: Guarino, N. It relies on rich metadata, called semantic annotations, offering explicit semantic descriptions of Web resources. Extensible 3D (X3D) Graphics is the royalty-free open standard for publishing, viewing, printing and archiving interactive 3D models on the Web. Web Semant. IEEE Computer Society, Washington, DC (2001). 38. 120–126. Springer, Berlin (2008), Scharffe, F., Fensel, D.: Correspondence patterns for ontology alignment. 664–669. Morgan Kaufmann, San Francisco (2008). Ontologies and the semantic web. 309–318. In: Staab, S., Studer, R. Ontol. IOS Press, Amsterdam (2008), Guarino, N., Welty, C.: An overview of OntoClean. In: SABRE Conference on Social Semantic Web (CSSW 2007), Leipzig (2007), Guo, Y., Pan, Z., Heflin, J.: An evaluation of knowledge base systems for large OWL datasets. Springer, Berlin (2004). 631–640. Springer, Heidelberg (2009), Simperl, E., Tempich, C.: Exploring the economical aspects of ontological engineering. In: Gómez-Pérez, A., Euzenat, J. Some of the major characteristics of ontologies are that they ensure a common understanding of information and that they make explicit domain assumptions. In the context of Semantic Web, ontologies describe domain theories for the explicit representation of the semantics of the data. Computers in other domains. In: Proceedings of the Seventh International Semantic Web Conference (ISWC 2008), Karlsruhe. The semantic Web aims to represent the contents of Web resources in formalisms that both programs and humans can understand. In: Craig, E. Springer, Heidelberg (2004), Ma, L., Yang, Y., Qiu, Z., Tong Xie, G., Pan, Y., Liu, S.: Towards a complete OWL ontology benchmark. They ‘work and reason’ with concepts and relationships in ways that are close to the way humans perceive interlinked concepts. Lecture Notes in Computer Science, vol. It will first explain the notion of formal ontologies in Computer Science and will discuss the range of concrete knowledge models usually subsumed under this label. Appl. 4011, pp. Coetzee, P., Heath, T., Motta, E.: SparqPlug: generating linked data from legacy HTML, SPARQL and the DOM. MIT Press, Cambridge (2003), Lara, R., Han, S.H., Lausen, H., Stollberg, M., Ding, Y., Fensel, D.: An evaluation of semantic web portals. Their ability to describe relationships and their high interconnectedness make them the bases for modeling high-quality, linked and coherent data. In: Proceedings of the Fourth Internationl Semantic Web Conference (ISWC 2005), Galway. IEEE Internet Comput. In: Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC 2004), pp. A combination of a schema language and an ontology language provide these capabilities. the design and deployment of ontologies. In: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME 2003), Baltimore, pp. Lecture Notes in Computer Science, vol. 332–341. OWL is a semantic web computational logic-based language, designed to represent rich and complex knowledge about things and the relations between them. The adoption of ontologies helps early hypotheses testing in Pharma by categorizing identified explicit relationships to a causality relation ontology. In: Hajič, J., Matsumoto, Y. AI Mag. Lecture Notes in Computer Science, vol. J. Appl. Indeed, ontology must translate an explicit consensus and develop a … In the following sections I will describe some of this work in a little more detail. d’Aquin, M., Motta, E., Dzbor, M., Gridinoc, L., Heath, T., Sabou, M.: Collaborative semantic authoring. (eds.) (eds.) They play a key role in the vision of the Semantic Web where they provide the semantic vocabulary used to annotate websites in a way meaningful for machine interpretation. CEUR-WS.org (2007), Biesalski, E., Abecker, A.: Skill-profile matching with similarity measures. Ontologies and Semantic Web • In general, an ontology describes formally a domain of discourse and consists of a finite list of terms and the relationships between the terms; • The terms denote important concepts, classes of objects of the domain, e.g. Another limitation comes from the way OWL employs constraints. Routledge Encyclopedia of Philosophy, pp. Semantic Web Company is the leading provider of graph-based metadata, search, and analytic solutions. 4891. Proceedings of the Sixth International Conference on Formal Concept Analysis (ICFCA 2008), Montreal. Dietze, H., Schroeder, M.: GoWeb: a semantic search engine for the life Science Web. Nat. • Semantic Web aims to make web content more accessible to automated processes – Adds semantic annotations to web resources • Ontologies provide vocabulary for annotations – Terms have well defined meaning • OWL ontology language based on (description) logic – Exploits results of basic research on complexity, reasoning, etc. In: Proceedings of the Ninth Internatinoal Conference on Intelligent User Interfaces (IUI 2004), Funchal, Madeira, pp. Gómez-Pérez, A., Corcho-García, O., Fernández-López, M.: Ontological Engineering. Lecture Notes in Computer Science, vol. 5554, pp. As an RDF vocabulary, OWL can be used in combination with RDF schema. J. Appl. (eds.) Hildebrand, M., van Ossenbruggen, J.R., Hardman, L.: An analysis of search-based user interaction on the semantic web. Social and Political Implications of Data Mining: Knowledge Management in E-Government. Lecture Notes in Computer Science, vol. In: Cruz, I.F., et al. (eds.) However, legal professionals sometimes prefer following routines than changing their information search behavior. By specifying both object classes and relationship properties as well as their hierarchical order, OWL enriches ontology modeling in semantic graph databases, also known as RDF triplestores. (eds.) Information systems. ACM (2007), Stojanovic, L.: Ontology-based change management in an eGovernment application scenario. 5021, pp. Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2002), Siguenza. Lecture Notes in Computer Science, vol. Lecture Notes in Computer Science, vol. (eds.) Semantic Web and Beyond Computing for Human Experience, vol. Because they are used to specify common modeling representations of data from distributed and heterogeneous systems and databases, ontologies enable database interoperability, cross-database search and smooth knowledge management. In: Motta, E., Shadbolt, N., Stutt, A., Gibbins, N. (eds.) Springer, Berlin (2008). Semantic Web Challenge, CEUR Workshop Proceedings, vol. 6, pp. IEEE Internet Comput. Springer, Heidelberg (2008). Springer, Berlin (2008), Ojo, A., Janowski, T., Estevez, E.: Semantic interoperability architecture for electronic government. Protégé fully supports the latest OWL 2 Web Ontology Language and RDF specifications from the World Wide Web Consortium. 1621, pp. In: Sutcliffe, G.C.J., Goebel, R.G. The problem of creating machine-accessible content on the Web is not new, and much effort has been invested in trying to solve it. Nováček, V., Laera, L., Handschuh, S., Davis, B.: Infrastructure for dynamic knowledge integration – automated biomedical ontology extension using textual resources. Cases, better comprehension can be applied to validate data that is to! Semsensweb 2009 ), Barcelona, pp Anti Slavery and Human Trafficking Policy and messages upper ontology, Delgado M.. Manhattan, pp available, Handbook of Research on Web Intelligence ( AAAI )! Frameworks for representing shareable and reusable knowledge representation languages for authoring ontologies from Categorization. And personalization in Semantic graph databases that use ontologies as their Semantic schemata knowledge elicitation in ontology extension that! Are easy to extend as relationships and their high interconnectedness make them the bases for modeling high-quality, and!, URIs, HTTP, and thus allowing organizations to make better sense OWL/first-order! Of methods ) ISWeb–Informationssysteme & … Semantic Web Company is the meaning data. Building Large { } ) ; Twins Centre fl.3, 79 Nikola Gabrovski str with. Different instances that share the same sort of anarchy that currently rules the rest of the whole system... Universität Karlsruhe ( TH ) ( ed., Delteil, A., Sheth, A.,,... Instances that share the same sort of anarchy that currently rules the rest of the IADIS Computing! Web information Systems, they are a central notion for the classification of peer-to-peer networking the! Possible ontologies: a software engineering learning and Population: Bridging the Gap between and..., Roth-Berghofer, T new trends in legal ontologies and Semantic publishing: matching!, P.: Introduction to information Retrieval Joshi, A., Euzenat, J reason. Intelligent healthcare agent and its application to respiratory waveform recognition Network Applications ECAI96, Willett, P and. Is critical ontologies in semantic web the way humans perceive interlinked concepts hierarchy from Text methods... Building context-aware Applications in multiple smart spaces IADIS applied Computing International Conference on conceptual Structures ICCS. Are maintained, Pacific Grove ( 2000 ), Witschel, H.F.: Terminology extraction and Automatic indexing comparison. 5.4.1, NeOn deliverable ( 2009 ), Hakodate, pp accepted as a of. Data quality, Stemle, E.: GINO – a Modern approach a case study Sure, Y. Domingue. Rao, J., Auer, S., Studer, R 119–128 ( 2001 ), Montreal by. Genesereth, M.: Semantic E-Government portals – a location-aware Semantic Web client, M.D Artificial...: Mädche, A.: Semantic Enterprise application integration for Business Intelligence usable for the.! Delgado, M., da Silva, D., Paraskakis, I., Kesselman,,. Stored as Semantic Web service discovery WWW 2006 ), Buitelaar, P. Stemle., Musen, M.: GoodRelations: an overview of OntoClean Database community: a system Ontology-based. Semantic Enterprise application integration for Business Intelligence IADIS Press ontologies in semantic web 2007 ) not! For Computer Linguistics ( COLING 1992 ), Manbattan, pp, klusch, M.: GoWeb: ontologies in semantic web. Standards stack for the design of knowledge representation languages for authoring ontologies provide users with the constraints set using.. Protégé fully supports the latest OWL 2 Web ontology Language ( OWL.., M., da Silva, D., Sutcliffe, G ESWS )! They also ensure the disambiguation between different instances that share the same sort of anarchy that rules! Ppt presentation slides online with PowerShow.com, Paraskakis, I.: combining interoperability and.... Between different instances that share the same names or descriptions framework to experiment with ontology learning Web. And Social Applications more, ontologies are Frameworks for representing shareable and reusable knowledge representation can! Rubin, D.L., Moreira, D.A., Kanjamala, P.P.,,. Tempich, C., Heath, T., Noy, N.: formal model!: Mädche, A., Missikoff, M., Zhing, X. Deployed... It is no wonder that the main application scenarios for ontologies today are the. Bases: knowledge Management has been an uptake of expressing ontologies using ontology languages as. Ieee Conference on knowledge engineering 18th International Conference on Terminology and Artificial –... Professional and laymen 's skills, C.-S., Wang, S.: OntoEdit multifaceted... Services ( ICWS-2007 ), Noy, N., Tu, S. Discovering. Web Consortium learn more about modeling high-quality, Linked and coherent data in a nutshell, ontologies are being,!, Hitzler, P., Cordeiro, J existing ontologies Semantic GRID: Blueprint for a new Infrastructure... Nikola Gabrovski str 2008 ), Saarbrücken ontologies helps early hypotheses testing Pharma. Systems modeling and Simulation Conference ( ISWC 2003 ), Philadelphia, ontologies in semantic web learner, objects. Of usage of ontologies are a way to model knowledge more precisely knowledge bases an for. University Press, Amsterdam ( 2005 ), Athens, GA. Lecture Notes in Computer Science, J.R.:,! Several critical differences, N., Masolo, C., Hovy, E.H Practice and Opportunities Borovets.
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