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Abstract

This article gives an overview of recent efforts focusing on integrating heterogeneous data using Knowledge Graphs. I introduce a pipeline consisting of five steps to integrate semi-structured or unstructured content. I discuss some of the key applications of this pipeline through three use-cases, and present the lessons learnt along the way while designing and building data integration systems.

Keywords

Knowledge Graphs Big Data Integration crowdsourcing

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References

Aberer ,

Boyarsky ,

Cudré-Mauroux ,

Demartini and

Ruchayskiy , Sciencewise: A web-based interactive semantic platform for scientific collaboration, in: 10th International Semantic Web Conference (ISWC 2011-Demo), Bonn, Germany, 2011.

Decker ,

Erdmann ,

Fensel and

Studer , Ontobroker: Ontology based access to distributed and semi-structured information, in: Database Semantics: Semantic Issues in Multimedia Systems,

Meersman ,

Tari and

Stevens , eds, Springer US, Boston, MA, 1999, pp. 351–369. doi:10.1007/978-0-387-35561-0_20.

Demartini ,

D.E.

Difallah and

Cudré-Mauroux , ZenCrowd: Leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking, in: Proceedings of the 21st International Conference on World Wide Web, WWW ’12, ACM, New York, NY, USA, 2012, pp. 469–478, ISBN 978-1-4503-1229-5. doi:10.1145/2187836.2187900.

Demartini ,

D.E.

Difallah and

Cudré-Mauroux , Large-scale linked data integration using probabilistic reasoning and crowdsourcing, VLDB J. 22(5) (2013), 665–687. doi:10.1007/s00778-013-0324-z.

D.E.

Difallah ,

Catasta ,

Demartini ,

P.G.

Ipeirotis and

Cudré-Mauroux , The dynamics of micro-task crowdsourcing: The case of Amazon MTurk, in: Proceedings of the 24th International Conference on World Wide Web, WWW ’15, International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 2015, pp. 238–247, ISBN 978-1-4503-3469-3. doi:10.1145/2736277.2741685.

Lutov ,

Roshankish ,

Khayati and

Cudre-Mauroux , StaTIX – statistical type inference on linked data, in: 2018 IEEE International Conference on Big Data (Big Data), 2018, pp. 2253–2262. doi:10.1109/BigData.2018.8622285.

Mavlyutov ,

Curino ,

Asipov and

Cudré-Mauroux , Dependency-driven analytics: A compass for uncharted data oceans, in: CIDR 2017, 8th Biennial Conference on Innovative Data Systems Research, Online Proceedings, Chaminade, CA, USA, January 8–11, 2017, 2017.

Plu ,

Prokofyev ,

Tonon ,

Cudré-Mauroux ,

D.E.

Difallah ,

Troncy and

Rizzo , Sanaphor++: Combining deep neural networks with semantics for coreference resolution, in: Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7–12, 2018, 2018.

Poggi ,

Rodriguez-Muro and

Ruzzi , Ontology-based database access with DIG-mastro and the OBDA plugin for protégé (demo description), in: OWLED, 2008.

10.

Pound ,

Mika and

Zaragoza , Ad-hoc object retrieval in the web of data, in: Proceedings of the 19th International Conference on World Wide Web, WWW ’10, ACM, New York, NY, USA, 2010, pp. 771–780, ISBN 978-1-60558-799-8. doi:10.1145/1772690.1772769.

11.

Prokofyev ,

Demartini and

Cudré-Mauroux , Effective named entity recognition for idiosyncratic web collections, in: Proceedings of the 23rd International Conference on World Wide Web, WWW ’14, ACM, New York, NY, USA, 2014, pp. 397–408, ISBN 978-1-4503-2744-2. doi:10.1145/2566486.2568013.

12.

Prokofyev ,

Tonon ,

Luggen ,

Vouilloz ,

D.E.

Difallah and

Cudré-Mauroux , SANAPHOR: Ontology-based coreference resolution, in: The Semantic Web – ISWC 2015,

Arenas ,

Corcho ,

Simperl ,

Strohmaier ,

d’Aquin ,

Srinivas ,

Groth ,

Dumontier ,

Heflin ,

Thirunarayan ,

Thirunarayan and

Staab , eds, Springer International Publishing, Cham, 2015, pp. 458–473. doi:10.1007/978-3-319-25007-6_27.

13.

J.F.

Sequeda and

D.P.

Miranker , A pay-as-you-go methodology for ontology-based data access, IEEE Internet Computing 21(2) (2017), 92–96. doi:10.1109/MIC.2017.46.

14.

Shen ,

Wang and

Han , Entity linking with a knowledge base: Issues, techniques, and solutions, IEEE Transactions on Knowledge and Data Engineering 27(2) (2015), 443–460. doi:10.1109/TKDE.2014.2327028.

15.

Smirnova ,

Audiffren and

Cudre-Mauroux , APCNN: Tackling class imbalance in relation extraction through aggregated piecewise convolutional neural networks, in: Swiss Conference on Data Science (SDS), 2019, pp. 63–68. doi:10.1109/SDS.2019.000-6.

16.

Smirnova and

Cudré-Mauroux , Relation extraction using distant supervision: A survey, ACM Comput. Surv. 51(5) (2018), 106:1–106:35. doi:10.1145/3241741.

17.

Tonon ,

Catasta ,

Demartini and

Cudré-Mauroux , Fixing the domain and range of properties in linked data by context disambiguation, in: Proceedings of the Workshop on Linked Data on the Web, LDOW, 2015.

18.

Tonon ,

Catasta ,

Demartini ,

Cudré-Mauroux and

Aberer , TRank: Ranking entity types using the web of data, in: The Semantic Web – ISWC 2013,

Alani ,

Kagal ,

Fokoue ,

Groth ,

Biemann ,

J.X.

Parreira ,

Aroyo ,

Noy ,

Welty and

Janowicz , eds, Springer, Berlin, Heidelberg, 2013, pp. 640–656, ISBN 978-3-642-41335-3.

19.

Tonon ,

Catasta ,

Prokofyev ,

Demartini ,

Aberer and

Cudre-Mauroux , Contextualized ranking of entity types based on knowledge graphs, Journal of Web Semantics 37–38 (2016), 170–183. doi:10.1016/j.websem.2015.12.005.

20.

Tonon ,

Cudré-Mauroux ,

Blarer ,

Lenders and

Motik , ArmaTweet: Detecting events by semantic tweet analysis, in: The Semantic Web,

Blomqvist ,

Maynard ,

Gangemi ,

Hoekstra ,

Hitzler and

Hartig , eds, Springer International Publishing, Cham, 2017, pp. 138–153. doi:10.1007/978-3-319-58451-5_10.

21.

Tonon ,

Demartini and

Cudré-Mauroux , Combining inverted indices and structured search for ad-hoc object retrieval, in: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’12, ACM, New York, NY, USA, 2012, pp. 125–134, ISBN 978-1-4503-1472-5. doi:10.1145/2348283.2348304.