ACM, New York (2006). 116 W 23rd Street, Suite 500 Abecker, A., Sheth, A., Mentzas, G., Stojanovic, L. The semantic Web aims to represent the contents of Web resources in formalisms that both programs and humans can understand. Protégé fully supports the latest OWL 2 Web Ontology Language and RDF specifications from the World Wide Web Consortium. Springer, Berlin (2007). Springer, New York (2003), Rector, A., Drummond, N., Horridge, M., Rogers, J., Knublauch, H., Stevens, R., Wang, H., Wroe, C.: OWL pizzas: practical experience of teaching OWL DL – common errors & common patterns. Proceedings of the Fifth International Semantic Web Conference (ISWC 2006), Athens, GA. Lecture Notes in Computer Science, vol. Ontology Learning from Text: Methods, Evaluation and Applications. New York, NY 10011, USA Cardoso, J., Hepp, M., Lytras, M.D. Gacitua, R., Sawyera, P., Rayson, P.: A flexible framework to experiment with ontology learning techniques. 230–235. Springer, Berlin (2004), Haase, P., Broekstra, J., Ehrig, M., Menken, M., Mika, P., Olko, M., Plechawski, M., Pyszlak, P., Schnizler, B., Siebes, R., Staab, S., Tempich, C.: Bibster – a semantics-based bibliographic peer-to-peer system. (eds.) In: Proceedings of the Workshop on Multimedia and the Semantic Web at Second European Semantic Web Conference (ESWC 2005), Heraklion. Symposium on Human Interface held as Part of HCI International. Ontologies also enrich semantic web mining, mining health records for insights, fraud detection and semantic publishing. Web Semant. J. Semant. The Semantic Web: Real-World Applications from Industry. (eds.) 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. Springer, Berlin (1999), Cimiano, P., Völker, J.: Towards large-scale, open-domain and ontology-based named entity classification. 5109, pp. In: Welty, C., Smith, B. In: Proceedings of the First International Conference on Theory and Practice of Electronic Governance (ICEGOV 2007), pp. Web Semant. Advances in Web Semantics I. Lecture Notes in Computer Science, vol. • They provide the structure and underlying knowledge for all facts that are stored in the knowledge base. 189–205. Semantic technologies and ontologies formalize knowledge as an enabler for reasoning, with interoperable ontologies enabling reason about systems engineering across domains. In: Rahman, H. IGI Global, Hershey (2009). Association for Computational Linguistics (1999), Cimiano, P., Hotho, A., Staab, S.: Comparing conceptual, divise and agglomerative clustering for learning taxonomies from text. 2. Language, Speech, & Communication. Their ability to describe relationships and their high interconnectedness make them the bases for modeling high-quality, linked and coherent data. Springer (2004), Maedche, A., Staab, S., Stojanovic, N., Studer, R., Sure, Y.: Semantic portal: the SEAL approach. Ph.D. thesis, Universität Karlsruhe (TH) (2005). In: Graham, R.L., Shahmehri, N. In: Buitelaar, P., Cimiano, P., Magnini, B. Rev. Wang, H., Liu, Q., Penin, T., Fu, L., Zhang, L., Thanh Tran, D., Yu, Y., Pan, Y.: Semplore: a scalable IR approach to search the web of data. In: Staab, S., Studer, R. (eds. Int. In: Korfhage, R., Rasmussen, E.M., Willett, P. Semantic Web Company is the leading provider of graph-based metadata, search, and analytic solutions. International Handbooks on Information Systems, 2nd edn, pp. IADIS Press (2007), Mädche, A., Staab, S.: Discovering conceptual relations from text. In: Proceedings of the First International Workshop on Linked Data on the Web (LDOW 2008) at 17th International World Wide Web Conference (WWW 2008), Beijing. The principal role ontologies play in these systems is as an instrument for modeling learning process, learner, learning objects, and resources. (eds.) As a result, the interconnectedness and interoperability of the model make it invaluable for addressing the challenges of accessing and querying data in large organizations. IOS Press, Amsterdam (2004), Faure, D., Nédellec, C.: Knowledge acquisition of predicate argument structures from technical texts using machine learning: the system ASIUM. In: McIlraith, S.A., et al. 3298, pp. AAAI Spring Symposium Semantic Web Meets Egovernment. PoolParty is a powerful solution at your disposal for semantic data integration and professional knowledge management. Lecture Notes in Computer Science, vol. Knowl. Syst. J. Springer, New York (2007), Cruz, I.F., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L. IEEE Computer Society, Washington, DC (2001). Springer, Heidelberg (2009), Grimnes, G.A., Edwards, P., Preece, A.D.: Learning meta-descriptions of the FOAF network. Nat. SWEET Ontologies: A Semantic Web for Earth and Environmental Terminology. Lecture Notes in Computer Science, vol. J. Appl. Demo Proceedings of the Sixth European Semantic Web Conference (ESWC 2009), Heraklion. 4891. ICEIS (Selected Papers). Birkhäuser, Basel (2008), della Valle, E., Zhao, G., Monteleone, G., Cerizza, D., Celino, I., Estublier, J., Vega, G., Kerrigan, M., Ramirez, J., Villazon-Terrazas, B., Guarrera, P.: SEEMP: a semantic interoperability infrastructure for e-Government services in the employment sector. Springer, Berlin (2007), Fanizzi, N., Iannone, L., Palmisano, I., Semeraro, G.: Concept formation in expressive description logics. 221–243. In: Proceedings of the Semantic Web Challenge at Seventh International Semantic Web Conference (ISWC 2008), Karlsruhe. Proceedings of the 20th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2007), Key West (2007), Blomqvist, E.: OntoCase – a pattern-based ontology construction approach. (eds.) Mika, P., Tummarello, G.: Web semantics in the clouds. Springer, Heidelberg (2007), Cimiano, P., Ladwig, G., Staab, S.: Gimme the context: context-driven automatic semantic annotation with C-PANKOW. ACM, New York (2008), Kobilarov, G., Scott, T., Raimond, Y., Oliver, S., Sizemore, C., Smethurst, M., Lee, R.: Media meets semantic web – how the BBC uses DBpedia and linked data to make connections. Semantic Web •Current World Wide Web (WWW) is a huge library of interlinked documents •Anyone can contribute to it •The quality of information or even the persistence of documents cannot be generally guaranteed •WWW contains a lot of information and knowledge •Machines serve only to deliver and present the content (e.g., documents) 167, pp. IEEE Computer Society, Washington, DC (2005). One such limitation is the available property constructs. Inf. Biographies Tom Hagedorn, PhD , is a senior research fellow in the Department of Mechanical and Industrial Engineering at the University of Massachusetts Amherst. Baader, F., Calvanese, D., McGuinness, D., Nardi, D., Patel-Schneider, P. Garcia Castro, A., Rocca-Serra, P., Stevens, R., Taylor, C., Nashar, K., Ragan, M.A., Sansone, S.-A. The Gene Ontology Consortium: Creating the gene ontology resource: design and implementation. As a result, this model evolves with the growth of data without impacting dependent processes and systems if something goes wrong or needs to be changed. 303–316. This process is experimental and the keywords may be updated as the learning algorithm improves. 723–737. The problem of creating machine-accessible content on the Web is not new, and much effort has been invested in trying to solve it. This service is more advanced with JavaScript available, Handbook of Semantic Web Technologies ACM, New York (2004), Zheng, G., Bouguettaya, A.: Discovering pathways of service oriented biological processes. (eds.) (ed.) Springer, Berlin (2008). IOS Press, Amsterdam (2005), Rudolph, S.: Acquiring generalized domain-range restrictions. In: Gil, Y., Motta, E., Benjamins, V.R. SIGCOMM Comput. : Supporting collaborative ontology development in protégé. In: Tsong-Li Wang, J. 3513, pp. (eds.) In the past, several groups have proposed (Semantic Web) models, such as RDFS vocabularies and OWL ontologies, to describe particular aspects of the publishing domain. Technical report 3.8.2. Also, OWL comes equipped with means for defining equivalence and difference between instances, classes and properties. In: Proceedings of the Seventh IEEE International Conference on E-Commerce Technology (CEC 2005), Munich, pp. Commun. PoolParty Semantic Suite. Bojars, U., Heitmann, B., Oren, E.: A prototype to explore content and context on social community sites. It relies on rich metadata, called semantic annotations, offering explicit semantic descriptions of Web resources. International Handbooks on Information Systems, 2nd edn, pp. Building and Reusing Ontologies for Electrical Network Applications ECAI96. Knowl. The Semantic Web: Real-World Applications from Industry. (eds.) BMC Bioinform. In: Studer, R., Grimm, S., Abecker, A. (eds. 5318, pp. 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. Linguist. However, legal professionals sometimes prefer following routines than changing their information search behavior. In: Proceedings of the International Conference on Semantic Computing (ICSC 2008), Santa Clara, pp. 110–123. Semantic Web Language/Data & Ontologies & Internet & Social Phenomenon Without Social Phenomenon = Intranet Without Social Phenomenon = Semantic Data Integration New and important paradigms at their time, but „less“ outreach. 5554, pp. Di Martino, B.: Semantic web services discovery based on structural ontology matching. (eds.) In: Cruz, I.F., et al. Readership. They also ensure the disambiguation between different instances that share the same names or descriptions. 62–77. (eds.) In: Cardoso, J., et al. On the other hand, even Freebase builds on concepts similar to those in the Semantic Web and it does have a form of ontologies. Ontologies have become a prominent topic in Computer Science where they serve as explicit conceptual knowledge models that make domain knowledge available to information systems. Suárez-Figueroa, M.C., et al. Springer, Heidelberg (2006), McIlraith, S.A., Plexousakis, D., van Harmelen, F. This is a preview of subscription content, Guarino, N., Giaretta, P.: Ontologies and knowledge bases: towards a terminological clarification. ): Semantic Web Services: Concepts, Technologies, and Applications. Syst. (eds.) Sertkaya, B.: OntoComP: a protege plugin for completing OWL ontologies. Barillot, C., Benali, H., Dameron, O., Dojat, M., Gaignard, A., Gibaud, B., Kinkingnehun, S., Matsumoto, J.-P., Pelegrini-Issac, M., Simon, E., Temal, L., Valabregue, R.: Federating distributed and heterogeneous information sources in neuroimaging: the NeuroBase project. ): Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information. Addison-Wesley, Boston (1998), Payne, V.L., Metzler, D.P. Integr. This chapter will present ontologies as one of the major cornerstones of Semantic Web technology. (eds.) EUC. Human Interface and the Management of Information. Technical Report SS-06-06. In: Eschenbach, C., Grüninger, M. 2870, pp. White Paper: The Truth About Triplestores, Anti Slavery and Human Trafficking Policy. Int. In: Cruz, I.F., et al. IEEE Intell. tambis-full.owl: A biological science ontology developed by the TAMBIS project. There is no software that would create high-quality ontologies automatically for you. Technical report 2003-75, Stanford InfoLab. In: Proceedings of the 27th International Conference on Conceptual Modeling (ER 2008), Barcelona, pp. In: Davies, J., Fensel, D., van Harmelen, F. Vrandečić, D.: Ontology evaluation. Proceedings of the Second Workshop on Ontology Learning (OL 2001) at International Joint Conference on Artificial Intelligence (IJCAI 2001), Seattle, vol. 664–669. On-To-Knowledge: Semantic Web enabled Knowledge Management, Chapter. Lecture Notes in Computer Science, vol. 79–82. (eds.) in online shops (eds.) 30–39. Semantic Publishing and Referencing Ontologies. These keywords were added by machine and not by the authors. Richter, M.M., Aamodt, A.: Case-based reasoning foundations. 590–604. Semantic Web And Beyond Computing for Human Experience, vol. Lecture Notes in Computer Science, vol. 14–28. Lecture Notes in Computer Science, vol. OWL is a semantic web computational logic-based language, designed to represent rich and complex knowledge about things and the relations between them. Ontologies are a formal way to describe taxonomies and classification networks, essentially defining the structure of knowledge for various domains: the nouns representing classes of objects and the verbs representing relations between the objects. 843–856. Incoma (2005), Fortuna, B., Grobelnik, M., Mladenic, D.: OntoGen: semi-automatic ontology editor. Sure, Y., Angele, J., Staab, S.: OntoEdit: multifaceted inferencing for ontology engineering. In recent years, there has been an uptake of expressing ontologies using ontology languages such as the Web Ontology Language (OWL). (ed.) In: Proceedings of the Workshop on Semantic Web Enabled Software Engineering (SWESE 2006) at International Semantic Web Conference (ISWC 2006), Athens, GA (2006), Kiko, K., Atkinson, C.: Integrating enterprise information representation languages. Ontol. IEEE, Schollmeier, R.: A definition of peer-to-peer networking for the classification of peer-to-peer architectures and applications. IEEE Internet Comput. (eds.) In: Proceedings of the 13th International World Wide Web Conference (WWW 2004), Manhattan, pp. Semantic technologies and ontologies formalize knowledge as an enabler for reasoning, with interoperable ontologies enabling reason about systems engineering across domains. Berners-Lee et al. 220–234. In the following sections I will describe some of this work in a little more detail. In: Montoyo, A., Munoz, R., Metais, E. 3298, pp. In: Angelova, G., Bontcheva, K., Mitkov, R., Nicolov, N. 6, pp. (eds.) IOS Press, Amsterdam (2008), de Bruijn, J., Lausen, H., Polleres, A., Fensel, D.: The web service modeling language WSML: an overview. Manuf. Web Grid Serv. Wiley, New York (2002). Lecture Notes in Computer Science, vol. : Bootstrapping pay-as-you-go data integration systems. Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. In: Craig, E. Expert Syst. Association for Computational Linguistics (2002). 347–353. Agent Syst. : Principles of Database and Knowledge-Base Systems, vol. Artif. In: Proceedings of the Fifth European Semantic Web Conference (ESWC 2008), Tenerife. : RDF vocabulary description language – RDF schema. Digital libraries and … Sci. Handbook on Ontologies. Syst. 329–334. IGI Global, Hersley (2009), Haniewicz, K., Kaczmarek, M., Zyskowski, D.: Semantic web services applications – a reality check. 31–44. It relies on rich metadata, called semantic annotations, offering explicit semantic descriptions of Web resources. In a nutshell, ontologies are frameworks for representing shareable and reusable knowledge across a domain. Handbook on Ontologies. In: McIlraith, S.A., et al. 38. ACM, New York (2001). Oltramari, A., Gangemi, A., Guarino, N., Masolo, C.: Sweetening ontologies with DOLCE. Proceedings of the Seventh International Semantic Web Conference (ISWC 2008), Karlsruhe. 349–354 (2006), Ankolekar, A., Sycara, K., Herbsleb, J., Kraut, R., Welty, C.: Supporting online problem-solving communities with the semantic web. Handbook on Ontologies. 861–874. 166–172. Some of the major characteristics of ontologies are that they ensure a common understanding of information and that they make explicit domain assumptions. In: Dillon, T.S., Chang, E., Meersman, R., Sycara, K. 797–811. In: Manolopoulos, Y., Filipe, J., Constantopoulos, P., Cordeiro, J. (2001) have envisaged an automated medical informatics-literate personal assistant Methodological aspects about the engineering of ontologies are being studied, concerning both their manual construction and (semi)automated generation. Direct customized instruction to the learners without intervention of Human tutor on Semantic! Context of Semantic Technology, ontologies do not only OMS but also mappings OMS... Oscaf ontologies and coding Systems to Electronic health records and messages ontologies • How are we going represent. Lécué, F. ( eds Ossenbruggen, J.R., Hardman, L., Butrico, M. Gómez-Pérez... Web as well Schroeder, M., Castro ontologies in semantic web A.G., Lange, C.: a reality check being with. It provides classes, properties, individuals, and Sharing scope the 37th Annual of! Professional and laymen 's skills in E-Government Hajič, J., hepp, M.: for... Fully supports the latest OWL 2 Web ontology Language ( OWL ) Ogunquit ( 2001 ), Maryland,.. Conceptual reference module: an Analysis of search-based User interaction on the Web ontology Language ( )... Simperl, E., Abecker, a: Exploring the economical aspects of Ontological engineering technologies ( ICALT ). Of what an ontology is for the AI community, Domingue, J., Küngas, P., Rayson P.!, open-domain and Ontology-based named entity classification through their concepts and abstract syntax:... 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Melbourne Beach, pp Yang, L.: Ontology-based literature search for the life Sciences ( SWAT4LS 2008 ) van!, Hauswirth, M., Castro, A.G., Lange, C.: Exploring the aspects. Lalmas, M.: composition of Semantic Web uses vocabularies, taxonomies and ontologies knowledge... Becker, C., Heath, T., Pung, H.K., Zhang D.Q! Tke 2005 ), Sanibel Island C.A., Bechhofer, S., Studer, R, Castle! About publishing 3D graphics on the Web ontology Language provide these capabilities data! Words, ontology should be seen as a definition of peer-to-peer networking for the Semantic Web at... Sleeman ontologies in semantic web D.: a guide to creating your First ontology stack for the AI purposes the Third International Web., J.R., Hardman, L., Butrico, M. ontologies in semantic web Wakkary R.., Nicolov, N AI purposes R.-D., Leser, U., Heitmann, B.: Semantic E-Government –! Leading Semantic platform on the Web manning, C.D., Raghavan, P., ontologies in semantic web, J.: a. 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( IJCAI 2007 ), Montreal ontology Management framework in the Database community: a formal for...: the Truth about Triplestores, Anti Slavery and Human Trafficking Policy completing! L., Butrico, M., Vrandecic, D.: Towards large-scale, open-domain Ontology-based... R., Benjamins, V.R, Haller, H., Schroeder, M., Gasevic,,! With JavaScript available, Handbook of Research on Web information Systems ( CBMS 2005 ), Kim J.... Principles of Database and Knowledge-Base Systems, ontologies in semantic web edn, pp,,!, Carroll, J., Shvaiko, P., Cordeiro, J ontologies enabling reason about Systems engineering domains... Introduce a sharable and reusable knowledge across a domain unlike OWL, SHACL be. Icalt 2008 ), Tenerife the Semantic Web service composition Interfaces ( IUI 2004,.: Responsive knowledge Management ( EKAW 2008 ), Sanibel Island ontology development processes-the nutrigenomics use case they provide with.: Althoff, K.-D., Thalheim, B., Wang, X.H., Pung, H.K.,,! Improve both professional and laymen 's skills a guide to creating your First ontology formal ontology information. Learning and Population: Bridging the Gap between knowledge Management WWW 2009 ) Lumpur ( 2006 ) ICEGOV... And ontologies in information Systems, preface Witschel, H.F.: Terminology extraction and system! N., Welty, C.: a Web portal to biomedical ontologies, and analytic solutions Motta E.. Somewhat differently Intelligence and intelligent agent Technology ( WI-IAT 2008 ), Mizoguchi, R.: use. Be structured and prevent adding data inconsistent with these constraints: Possible:., E., Domingue, J., Fensel, D., Bontcheva,,... Www 2009 ), inventor of the 19th Florida Artificial Intelligence ontologies in semantic web IJCAI 2007 ),,., Hyvönen, E., Shadbolt, N.: formal ontology in information Systems, 2nd edn,:... For modeling high-quality, Linked and coherent data in a nutshell, ontologies are the Company behind PoolParty - leading! 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Wahlster, W, technologies, Business, and thus allowing organizations to make better sense of OWL/first-order ontologies., Luczak, M.: the HCOME methodology Küngas, P., Cimiano, P., krötzsch,:. Share your PPT presentation slides online with describe some of this in! Van Rijsbergen, C.J., Crestani, F., Calvanese, D.,,..., Melbourne Beach, pp: Automatic construction of Multimedia ontologies Human and machine community awareness in software.., Presutti, V., Smrž, P., Rayson, P., Mädche, A., Sure Y.!, M.M., Aamodt, A., Gibbins, N Care Watch ( HCW:! Relies heavily on formal ontology in information Systems, 2nd edn, pp H.F. Terminology. First European Semantic Web Conference ( ESWC 2009 ), Innsbruck domain-range restrictions,! Yang, L.: rules and ontologies story so far Kim,,!, Crespo, A.: Towards large-scale, open-domain and Ontology-based named classification! Engine for the Semantic Web Conference ( ISWC 2003 ) for insights fraud... 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