Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Buchtitelbild

2017 | OriginalPaper | Buchkapitel

The Universal Ontology: A Vision for Conceptual Modeling and the Semantic Web (Invited Paper)

verfasst von : Antoni Olivé

Erschienen in: Conceptual Modeling

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper puts forward a vision of a universal ontology (UO) aiming at solving, or at least greatly alleviating, the semantic integration problem in the field of conceptual modeling and the understandability problem in the field of the semantic web. So far it has been assumed that the UO is not feasible in practice, but we think that it is time to revisit that assumption in the light of the current state-of-the-art. This paper aims to be a step in this direction. We try to make an initial proposal of a feasible UO. We present the scope of the UO, the kinds of its concepts, and the elements that could comprise the specification of each concept. We propose a modular structure for the UO consisting of four levels. We argue that the UO needs a complete set of concept composition operators, and we sketch three of them. We also tackle a few issues related to the feasibility of the UO, which we think that they could be surmountable. Finally, we discuss the desirability of the UO, and we explain why we conjecture that there are already organizations that have the knowledge and resources needed to develop it, and that might have an interest in its development in the near future.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Nächstes Kapitel Correction to: SourceVote: Fusing Multi-valued Data via Inter-source Agreements
Fußnoten
1
In the context of this paper, we will consider ontologies and conceptual schemas as synonymous.
 
Literatur
1.
Batini, C., Ceri, S., Navathe, S.: Conceptual Database Design: An Entity-Relationship Approach. Benjamin-Cummings Publishing Company Inc., Redwood City (1992)MATH
2.
Doan, A., Halevy, A., Ives, Z.: Principles of Data Integration. Morgan Kaufmann, Burlington (2012)
3.
van Harmelen, F.: Ontology mapping: a way out of the medical tower of babel? In: Miksch, S., Hunter, J., Keravnou, E.T. (eds.) AIME 2005. LNCS, vol. 3581, pp. 3–6. Springer, Heidelberg (2005). doi:10.​1007/​11527770_​1CrossRef
4.
Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web: Theory and Technology, 1st edn., vol. 1, no. 1, pp. 1–136. Morgan & Claypool (2011)
5.
Park, J., Ram, S.: Information systems interoperability: what lies beneath? ACM Trans. Inf. Syst. 22(4), 595–632 (2004)CrossRef
6.
Uschold, M., Grüninger, M.: Ontologies and semantics for seamless connectivity. SIGMOD Rec. 33(4), 58–64 (2004)CrossRef
7.
Pease, A., Niles, I., Li, J.: The suggested upper merged ontology: a large ontology for the semantic web. In: Proceedings of AAAI-2002 Workshop on Ontologies and the Semantic Web (2002)
8.
Allemang, D., Hendler, J.A.: Semantic Web for the Working Ontologist - Effective Modeling in RDFS and OWL, 2nd edn. Morgan Kaufmann, Burlington (2011)
9.
10.
Gruninger, M., Fox, M.S.: Methodology for the design and evaluation of ontologies. In: Proceedings of Workshop on Basic Ontological Issues in Knowledge Sharing, IJCAI 1995 (1995)
11.
Noy, N.F., McGuinness, D.L.: Ontology Development 101: A Guide to Creating Your First Ontology. Stanford University (2001)
12.
13.
Uschold, M.: Creating, integrating and maintaining local and global ontologies. In: Proceedings of First Workshop on Ontology Learning OL 2000 in Conjunction with the 14th European Conference on Artificial Intelligence ECAI 2000 (2000)
14.
Aguilera, D., Gómez, C., Olivé, A.: A complete set of guidelines for naming UML conceptual schema elements. Data Knowl. Eng. 88, 60–74 (2013)CrossRef
15.
Spaccapietra, S. (coordinator): Report on Modularization of Ontologies. Technical report, Knowledge Web Deliverable D2.1.3.1 (2005)
16.
Roussey, C., Pinet, F., Kang, M.A., Corcho, O.: An introduction to ontologies and ontology engineering. In: Falquet, G., et al. (eds.) Ontologies in Urban Development Projects. Advanced Information and Knowledge Processing, vol. 1, pp. 9–38. Springer, London (2011). doi:10.​1007/​978-0-85729-724-2_​2CrossRef
17.
Mylopoulos, J., Borgida, A., Jarke, M., Koubarakis, M.: Telos: representing knowledge about information systems. ACM Trans. Inf. Syst. 8(4), 325–362 (1990)CrossRef
18.
de Carvalho, V.A., Almeida, J.P.A., Fonseca, C.M., Guizzardi, G.: Multi-level ontology-based conceptual modeling. Data Knowl. Eng. 109, 3–24 (2017)CrossRef
19.
20.
Masolo, C., Borgo, S., Gangemi, A., Guarino, N., Oltramari, A.: WonderWeb Deliverable D18, Ontology Library (final). ICT Project (2003)
21.
Pastor, O.: Conceptual modeling of life: beyond the homo sapiens. In: Comyn-Wattiau, I., Tanaka, K., Song, I.-Y., Yamamoto, S., Saeki, M. (eds.) ER 2016. LNCS, vol. 9974, pp. 18–31. Springer, Cham (2016). doi:10.​1007/​978-3-319-46397-1_​2CrossRef
22.
Gangemi, A., Guarino, N., Masolo, C., Oltramari, A.: Sweetening WORDNET with DOLCE. AI Mag. 24(3), 13–24 (2003)MATH
23.
Guizzardi, G., Wagner, G., de Almeida Falbo, R., Guizzardi, R.S.S., Almeida, J.P.A.: Towards ontological foundations for the conceptual modeling of events. In: Ng, W., Storey, V.C., Trujillo, J.C. (eds.) ER 2013. LNCS, vol. 8217, pp. 327–341. Springer, Heidelberg (2013). doi:10.​1007/​978-3-642-41924-9_​27CrossRef
24.
Guizzardi, G., Wagner, G., Almeida, J.P.A., Guizzardi, R.S.: Towards ontological foundations for conceptual modeling: the unified foundational ontology (UFO) story. Appl. Ontol. 10(3–4), 259–271 (2015)CrossRef
25.
Bergenholtz, H., Tarp, S. (eds.): Manual of Specialised Lexicography. The Preparation of Specialised Dictionaries. John Benjamins Publishing Company, Amsterdam (1995)
26.
Singh, R.A.: An introduction to lexicography. Central Institute of Indian Languages (1982)
27.
Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)MATH
28.
Lenat, D.B.: CYC: a large-scale investment in knowledge infrastructure. Commun. ACM 38(11), 32–38 (1995)
29.
Navigli, R., Ponzetto, S.P.: BabelNet: the automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artif. Intell. 193, 217–250 (2012)MathSciNetCrossRef
30.
31.
Shvaiko, P., Euzenat, J.: Ontology matching: state of the art and future challenges. IEEE Trans. Knowl. Data Eng. 25(1), 158–176 (2013)CrossRef
32.
Lindland, O.I., Sindre, G., Sølvberg, A.: Understanding quality in conceptual modeling. IEEE Softw. 11, 42–49 (1994)CrossRef
33.
Gómez-Pérez, A.: Evaluation of ontologies. Int. J. Intell. Syst. 16(3), 391–409 (2001)CrossRef
34.
Noy, N.F.: Ontology mapping. In: Handbook on Ontologies, pp. 573–590 (2009)CrossRef
35.
Choi, N., Han, H., Song, I.: A survey on ontology mapping. SIGMOD Rec. 35, 34–41 (2006)CrossRef
36.
Arnold, P., Rahm, E.: Enriching ontology mappings with semantic relations. Data Knowl. Eng. 93, 1–18 (2014)CrossRef
37.
38.
Lieber, R., Stekauer, P. (eds.): The Oxford Handbook of Compounding. Oxford University Press, Oxford (2011)
39.
Murphy, G.L.: The Big Book of Concepts. MIT Press, Cambridge (2004)
40.
41.
Nakov, P., Hearst, M.A.: Semantic interpretation of noun compounds using verbal and other paraphrases. TSLP 10(3), 13:1–13:51 (2013)CrossRef
42.
43.
Cabot, J., Mazón, J.-N., Pardillo, J., Trujillo, J.: Specifying aggregation functions in multidimensional models with OCL. In: ER 2010, pp. 419–432 (2010)CrossRef
44.
Madnick, S.E.: Are we moving toward an information superhighway or a tower of babel? The challenge of large-scale semantic heterogeneity. In: ICDE 1996, pp. 2–8 (1996)
45.
Noy, N.F.: Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. 33(4), 65–70 (2004)CrossRef
46.
Berners-Lee, T., Kagal, L.: The fractal nature of the semantic web. AI Mag. 29(3), 29–34 (2008)CrossRef
47.
48.
Mockus, A., Fielding, R.T., Herbsleb, J.D.: Two case studies of open source software development: apache and Mozilla. ACM Trans. Softw. Eng. Methodol. 11(3), 309–346 (2002)CrossRef
49.
Guha, R.V., Brickley, D., Macbeth, S.: Schema.org: evolution of structured data on the web. Comm. ACM 59(2), 44–51 (2016)CrossRef
50.
Burton-Jones, A., Wand, Y., Weber, R.: Guidelines for empirical evaluations of conceptual modeling grammars. J. AIS 10, 1 (2009)
51.
Conesa, J., Storey, V.C., Sugumaran, V.: Usability of upper level ontologies: the case of ResearchCyc. Data Knowl. Eng. 69(4), 343–356 (2010)CrossRef
52.
53.
Mika, P.: On Schema.org and why it matters for the web. IEEE Internet Comput. 19(4), 52–55 (2015)CrossRef
54.
Ding, L., Kolari, P., Ding, Z., Avancha, S., Finin, T., Anupam Joshi, A.: Using ontologies in the semantic web: a survey. In: Sharman, R., Kishore, R., Ramesh, R. (eds.) Ontologies. Springer, Boston (2007). doi:10.​1007/​978-0-387-37022-4_​4CrossRef
Metadaten
Titel
The Universal Ontology: A Vision for Conceptual Modeling and the Semantic Web (Invited Paper)
verfasst von
Antoni Olivé
Copyright-Jahr
2017
Buch
Conceptual Modeling

Print ISBN: 978-3-319-69903-5

Electronic ISBN: 978-3-319-69904-2

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-69904-2_1