Abstract
This paper describes the problems of modeling graph-based structures in Association-Oriented Database Metamodel in the context of knowledge representation system. The basics of Association-Oriented Metamodel solutions, principles of modeling and sample implementations of graph structures have been presented, including labeled graphs as well as generalization of graphs, i.e. hypergraphs. Subsequently, metastructural ontological design patterns dedicated to knowledge representation systems are presented based on example of standard class-instance-feature-value and relationship patterns.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
By the term expressiveness authors understand the ability of language to express constructions and concepts of thought. It is a measure of phrases brevity in the language in relation to the complexity of the structure of thought, which it carries.
- 2.
The standard of objects databases is OM ODMG 3.0.
References
Collins, A.M., Quillian, M.R.: Retrieval time from semantic memory. J. Verbal Learn. Verbal Behav. 8, 240–247 (1969)
Corcho, O., Gómez-Pérez, A.: A roadmap to ontology specification languages. In: International Conference on Knowledge Engineering and Knowledge Management, pp. 80–96 (2000). http://www.springerlink.com/index/QV8H33HQYB643Y14.pdf
Dipert, R.R.: The mathematical structure of the world: the world as graph. J. Philos. 94(7), 329–358 (1997)
Djedidi, R., Aufaure, M.A.: Ontology evolution: state of the art and future directions. In: Ontology Theory, Management and Design: Advanced Tools and Models, p. 179 (2010)
Fikes, R., Karp, P.D., Rice, J.P.: OKBC: a programmatic foundation for knowledge base interoperability. In: Proceedings of the National Conference on Artificial Intelligence, pp. 600–607 (1998). http://www.aaai.org/Library/AAAI/1998/aaai98-085.php
Foxvog, D.: Cyc. In: Theory and Applications of Ontology: Computer Applications, pp. 259–278 (2010)
Genesereth, M.R., Fikes, R.E.: Knowledge Interchange Format, Version 3.0 Reference Manual. Interchange (Logic-92-1), pp. 1–68 (1992). http://logic.stanford.edu/kif/Hypertext/kif-manual.html
Hoang, D.T.A., Priebe, T., Tjoa, A.M.: Hypergraph-based multidimensional data modeling towards on-demand business analysis. In: Proceedings of the 13th International Conference on Information Integration and Web-Based Applications and Services, pp. 36–43. ACM (2011)
Jodłowiec, M., Krótkiewicz, M.: Semantics discovering in relational databases by pattern-based mapping to association-oriented metamodel – a biomedical case study. In: Advances in Intelligent and Soft Computing. Springer, Cham (2016)
Krótkiewicz, M.: Association-oriented database model – n-ary associations. Int. J. Softw. Eng. Knowl. Eng. 27, 281 (2017)
Krótkiewicz, M., Wojtkiewicz, K.: An introduction to ontology based structured knowledge base system: knowledge acquisition module. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNAI, vol. 7802, pp. 497–506 (2013)
Krótkiewicz, M., Wojtkiewicz, K., Jodłowiec, M., Pokuta, W.: Semantic knowledge base: quantifiers and multiplicity in extended semantic networks module, pp. 173–187. Springer, Cham (2016)
Liu, J.N.K., He, Y.L., Lim, E.H.Y., Wang, X.Z.: A new method for knowledge and information management domain ontology graph model. IEEE Trans. Syst. Man Cybern. Syst. 43(1), 115–127 (2013)
Pancerz, K.: Some remarks on complex information systems over ontological graphs, pp. 377–384. Springer, Cham (2014)
Portmann, E., Kaltenrieder, P., Pedrycz, W.: Knowledge representation through graphs. Procedia Comput. Sci. 62, 245–248 (2015)
Scioni, E., Hübel, N., Blumenthal, S., Shakhimardanov, A., Klotzbücher, M., Garcia, H., Bruyninckx, H.: Hierarchical hypergraphs for knowledge-centric robot systems: a composable structural meta model and its domain specific language NPC4. J. Softw. Eng. Robot. 7, 55–74 (2016)
Shadbolt, N., Hall, W., Berners-Lee, T.: The semantic web revisited. IEEE Intell. Syst. 21, 96–101 (2006)
Sowa, J.F.: Conceptual graphs for a data base interface. IBM J. Res. Dev. 20(4), 336–357 (1976)
Sowa, J.F.: Conceptual graphs. Found. Artif. Intell. 3, 213–237 (2008). (Findler 1979)
Speer, R., Havasi, C.: Representing general relational knowledge in ConceptNet 5. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012), pp. 3679–3686 (2012)
Trinkunas, J., Vasilecas, O.: A graph oriented model for ontology transformation into conceptual data model. Inf. Technol. Control 36(1), 126–132 (2007)
Vandenbussche, P.Y., Atemezing, G.A., Poveda-Villalón, M., Vatant, B.: Linked open vocabularies (LOV): a gateway to reusable semantic vocabularies on the Web. Semant. Web 8(3), 437–452 (2016). http://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/SW-160213
Welty, C.: Ontology research. AI Mag. 24(3), 11–12 (2003). http://www.aaai.org/ojs/index.php/aimagazine/article/view/1714/1612
Zhou, D., Huang, J., Schölkopf, B.: Learning with hypergraphs: clustering, classification, and embedding. In: Advances in Neural Information Processing Systems, vol. 19, pp. 1601–1608 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Jodłowiec, M., Krótkiewicz, M., Wojtkiewicz, K. (2018). Meta-structural Graph-Based Design Patterns for Knowledge Representation in Association-Oriented Database Metamodel. In: Hunek, W., Paszkiel, S. (eds) Biomedical Engineering and Neuroscience. BCI 2018. Advances in Intelligent Systems and Computing, vol 720. Springer, Cham. https://doi.org/10.1007/978-3-319-75025-5_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-75025-5_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-75024-8
Online ISBN: 978-3-319-75025-5
eBook Packages: EngineeringEngineering (R0)