Abstract
The concept of Semantic Web, introduced by Berners-Lee in 2001, emphasizes importance of expressing semantics of data stored on the web. The introduced data format called Resource Description Framework (RDF) is a meaningful way of expressing and exploring data relations. It provides basics for constructing semantics-oriented data formats. More and more often RDF is used to represent variety of data including N-ary relations and temporal information. On many occasions this results in complex data structures. Their utilization requires a full understating of applied data configurations.
This paper presents a fuzzy-based Linguistically Oriented RDF Interface – LORI – for querying RDF data containing temporal information and using non-trivial data structures. The interface includes specialized built-in predicates suitable for constructing temporal queries and supporting imprecise phrases describing time and data features, and high-level predicates built based on them. A simple case study using LORI interface for imprecise querying about time-based events is presented.
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References
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284, 34–43 (2001)
http://linkeddata.org (accessed July 9th, 2015)
http://www.w3.org/TR/2014/NOTE-rdf11-primer-20140225/ (accessed July 9th, 2015)
http://blog.iandavis.com/2009/08/representing-time-in-rdf-part-1/ (accessed July 9th, 2015)
http://lov.okfn.org/dataset/lov/ (accessed July 9th, 2015)
http://www.w3.org/standards/techs/rdfvocabs#w3c_all (accessed July 9th, 2015)
http://www.w3.org/TR/rdf-schema/ (accessed July 9th, 2015)
http://www.w3.org/TR/swbp-n-aryRelations/ (accessed July 9th, 2015)
Allen, J.F.: A General Model of Action and Time. Artificial Intelligence 23(2), 123–154 (1984)
Dutta, S.: An event base fuzzy temporal logic. In: Proc. 18th IEEE Int, Symp. On Multiple-Valued Logic (Palma de Mallorca), pp. 64–71 (1988)
Kim, H., Oh, K.: A new representation model in uncertain temporal knowledge. In: Proc. IFSA 1991, pp. 113–116 (1991)
Dubois, D., Prade, H.: Processing fuzzy temporal knowledge. IEEE Trans. on Systems Man and Cybernetics 19, 729–744 (1989)
Moon, S.-I., Lee, K.H., Lee, D.: Fuzzy Branching Temporal Logic. IEEE Trans. on Systems, Man, and Cyberntics – Part B: Cybernetics 34(2), 1045–1055 (2004)
Carinena, P., Bugarin, A., Mucientes, M.: A language for expressing expert knowledge using fuzzy temporal rules. In: EUSFLAT-ESTYLF Joint Conference, pp. 171–174 (1999)
Barro, S., Marin, R., Mira, J.: A model and a language for the fuzzy representation and handling of time. Fuzzy Sets and Systems 61(2), 153–174 (1994)
Schockaert, S., De Cock, M.: Efficient Algorithms for Fuzzy Qualitative Temporal Reasoning. IEEE Trans. on Fuzzy Systems 17(4), 794–808 (2009)
Lu, Z., Liu, J., Augusto, J.C., Wang, H.: A Many-Valued Temporal Logic and Reasoning Framework for Decision Making. Computational Intelligence in Complex Decision Systems, Atlantis Computational Intelligence Systems 2, 125–146 (2010)
Schockaert, S., De Cock, M., Kerre, E.E.: Reasoning about Fuzzy Temporal Information from the Web Towards Retrieval of Historical Events. Soft Computing 14(8), 869–886 (2010)
Pan, F., Hobbs, J.R.: Time in OWL-S, AAAI Spring Symposium on Semantic Web Services, Stanford University, CA, pp. 29–36 (2004)
http://www.w3.org/TR/owl-features/ (accessed July 9th, 2015)
Gutierrez, C., Hurtado, C.A., Vaisman, A.A.: Temporal RDF. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 93–107. Springer, Heidelberg (2005)
Gutierrez, C., Hurtado, C., Vaisman, A.: Introducing Time into RDF. IEEE Transaction on Knowledge And Data Engineering (ESWC 2005) 19(2), 207–218 (2007)
Pugliese, A., Udrea, O., Subrahmanian, V.S.: Scaling RDF with time. In: Proc. Second European Semantic Web Conf. (ESWC 2005), pp. 93–107 (2005)
Tappolet, J., Bernstein, A.: Applied temporal RDF: efficient temporal querying of RDF data with SPARQL. In: Aroyo, L., Traverso, P., Ciravegna, F., Cimiano, P., Heath, T., Hyvönen, E., Mizoguchi, R., Oren, E., Sabou, M., Simperl, E. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 308–322. Springer, Heidelberg (2009)
RobatJazi, M., Reformat, M.Z., Pedrycz, W.: Ontology-based framework for reasoning with fuzzy temporal data. In: IEEE Int. Conf. on Systems, Man, and Cybernetics, Seoul, Republic of Korea, pp. 2030–2035, October 14–17, 2012
http://jena.apache.org/documentation/inference/#rdfs (accessed July 9th, 2015)
http://jena.apache.org/ (accessed July 9th, 2015)
http://www.w3.org/TR/rdf-sparql-query/ (accessed July 9th, 2015)
http://rorchard.github.io/FuzzyJ/ (accessed July 9th, 2015)
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RobatJazi, M., Reformat, M.Z., Pedrycz, W., Musilek, P. (2016). LORI: Linguistically Oriented RDF Interface for Querying Fuzzy Temporal Data. In: Andreasen, T., et al. Flexible Query Answering Systems 2015. Advances in Intelligent Systems and Computing, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-319-26154-6_26
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DOI: https://doi.org/10.1007/978-3-319-26154-6_26
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