Abstract
With the introduction of its Knowledge Graph [20], Google has coined the name for a new generation of knowledge-based systems that go beyond what was previously expected of areas that include graph databases, knowledge bases, machine-learning systems and rule-based logical reasoners.
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References
Afrati, F.N., Gergatsoulis, M., Toni, F.: Linearisability on datalog programs. Theor. Comput. Sci. 308(1–3), 199–226 (2003)
Arenas, M., Gottlob, G., Pieris, A.: Expressive languages for querying the semantic web. In: PODS, pp. 14–26 (2014)
Arming, S., Pichler, R., Sallinger, E.: Complexity of repair checking and consistent query answering. In: ICDT, vol. 48, LIPIcs. SD-LZI (2016)
Bellomarini, L., Gottlob, G., Pieris, A., Sallinger, E.: Swift logic for big data and knowledge graphs. In: IJCAI, pp. 2–10 (2017)
Bellomarini, L., Gottlob, G., Pieris, A., Sallinger, E.: Swift logic for big data and knowledge graphs. In: Tjoa, A.M., Bellatreche, L., Biffl, S., van Leeuwen, J., Wiedermann, J. (eds.) SOFSEM 2018. LNCS, vol. 10706, pp. 3–16. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73117-9_1
Bellomarini, L., Gottlob, G., Pieris, A., Sallinger, E.: The Vadalog system: swift logic for big data and enterprise knowledge graphs. In: AMW (2018)
Bellomarini, L., Sallinger, E., Gottlob, G.: The vadalog system: Datalog-based reasoning for knowledge graphs. PVLDB 11(9), 975–987 (2018)
Calì, A., Gottlob, G., Kifer, M.: Taming the infinite chase: query answering under expressive relational constraints. J. Artif. Intell. Res. 48, 115–174 (2013)
Calì, A., Gottlob, G., Lukasiewicz, T.: A general datalog-based framework for tractable query answering over ontologies. J. Web Sem. 14, 57–83 (2012)
Calì, A., Gottlob, G., Lukasiewicz, T., Marnette, B., Pieris, A.: Datalog+/-: a family of logical knowledge representation and query languages for new applications. In: LICS, pp. 228–242 (2010)
Calì, A., Gottlob, G., Pieris, A.: Towards more expressive ontology languages: the query answering problem. Artif. Intell. 193, 87–128 (2012)
Csar, T., Lackner, M., Pichler, R., Sallinger, E.: Winner determination in huge elections with mapreduce. In: AAAI, pp. 451–458. AAAI Press (2017)
Furche, T., Gottlob, G., Neumayr, B., Sallinger, E.: Data wrangling for big data: towards a lingua franca for data wrangling. In: AMW (2016)
Glimm, B., Ogbuji, C., Hawke, S., Herman, I., Parsia, B., Polleres, A., Seaborne, A.: SPARQL 1.1 entailment regimes. W3C Recommendation, 21 March 2013
Gottlob, G., Pieris, A.: Beyond SPARQL under OWL 2 QL entailment regime: rules to the rescue. In: IJCAI, pp. 2999–3007 (2015)
Kolaitis, P.G., Pichler, R., Sallinger, E., Savenkov, V.: Limits of schema mappings. Theory Comput. Syst. 62(4), 899–940 (2018)
Konstantinou, N., et al.: The VADA architecture for cost-effective data wrangling. In: SIGMOD, ACM (2017)
Michels, C., Fayzrakhmanov, R.R., Ley, M., Sallinger, E., Schenkel, R.: Oxpath-based data acquisition for dblp. In: JCDL, pp. 319–320. IEEE CS (2017)
Sallinger, E.: Reasoning about schema mappings. In: Data Exchange, Information, and Streams, volume 5 of Dagstuhl Follow-Ups, pp. 97–127. SD-LZI (2013)
Wikipedia: Knowledge graph. https://en.wikipedia.org/wiki/Knowledge_Graph (2017). Accessed 3 Mar 2018
Acknowledgments
This work has been supported by the EPSRC Programme Grant EP/M025268/1. The VADALOG system is IP of the University of Oxford.
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Bellomarini, L., Gottlob, G., Pieris, A., Sallinger, E. (2018). Vadalog: A Language and System for Knowledge Graphs. In: Benzmüller, C., Ricca, F., Parent, X., Roman, D. (eds) Rules and Reasoning. RuleML+RR 2018. Lecture Notes in Computer Science(), vol 11092. Springer, Cham. https://doi.org/10.1007/978-3-319-99906-7_1
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