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KEYSTONE WG2: Activities and Results Overview on Keyword Search

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Semantic Keyword-Based Search on Structured Data Sources (IKC 2017)

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Abstract

In this chapter we summarize activities and results achieved by the Keyword Search Working Group (WG2) of the KEYSTONE Cost Action IC1302. We present the goals of the WG2, its main activities in course of the action and provide a summary of the selected publications related to the WG2 goals and co-authored by WG2 members. We conclude with a summary of open research directions in the area of keyword search for structured data.

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Notes

  1. 1.

    LOD cloud diagram: http://lod-cloud.net/.

  2. 2.

    http://www.keystone-cost.eu/keystone/work-group/wg2/ 68 members.

References

  1. Ben Ellefi, M., Bellahsene, Z., Breslin, J., Demidova, E., Dietze, S., Szymanski, J., Todorov, K.: RDF dataset profiling - a survey of features, methods, vocabularies and applications. Semant. Web J. (2017)

    Google Scholar 

  2. Demidova, E., Dietze, S., Szymanski, J., Breslin, J.G. (eds.): Proceedings of the 1st International Workshop on Dataset PROFIling & fEderated Search for Linked Data, co-located with the 11th Extended Semantic Web Conference, PROFILES@ESWC 2014, Anissaras, Crete, Greece, 26 May 2014, vol. 1151. CEUR Workshop Proceedings, CEUR-WS.org (2014)

    Google Scholar 

  3. Berendt, B., Dragan, L., Hollink, L., Luczak-Rösch, M., Demidova, E., Dietze, S., Szymanski, J., Breslin, J.G. (eds.): Joint Proceedings of the 5th International Workshop on Using the Web in the Age of Data (USEWOD 2015) and the 2nd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES 2015), co-located with the 12th European Semantic Web Conference (ESWC 2015), Portorož, Slovenia, 31 May–1 June 2015, vol. 1362. CEUR Workshop Proceedings, CEUR-WS.org (2015)

    Google Scholar 

  4. Demidova, E., Dietze, S., Szymanski, J., Breslin, J.G. (eds.): Proceedings of the 3rd International Workshop on Dataset PROFIling and fEderated Search for Linked Data (PROFILES 2016), co-located with the 13th ESWC 2016 Conference, Anissaras, Greece, 30 May 2016. vol. 1597. CEUR Workshop Proceedings. CEUR-WS.org (2016)

    Google Scholar 

  5. Demidova, E., Dietze, S., Szymanski, J., Breslin, J.G. (eds.): Proceedings of the 4th International Workshop on Dataset PROFIling and fEderated Search for Web Data (PROFILES 2017) co-located with The 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, 22 October 2017, vol. 1927. CEUR Workshop Proceedings, CEUR-WS.org (2017)

    Google Scholar 

  6. Demidova, E., Dietze, S., Szymanski, J., Breslin, J. (eds.): Special issue on dataset profiling and federated search for linked data. Int. J. Semant. Web Inf. Syst. (IJSWIS), 12 (2016)

    Google Scholar 

  7. Gottschalk, S., Demidova, E.: MultiWiki: interlingual text passage alignment in Wikipedia. TWEB 11, 6:1–6:30 (2017)

    Article  Google Scholar 

  8. Zhou, Y., Demidova, E., Cristea, A.I.: What’s new? Analysing language-specific Wikipedia entity contexts to support entity-centric news retrieval. In: Nguyen, N.T., Kowalczyk, R., Pinto, A.M., Cardoso, J. (eds.) Transactions on Computational Collective Intelligence XXVI. LNCS, vol. 10190, pp. 210–231. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59268-8_10

    Chapter  Google Scholar 

  9. Zhou, Y., Demidova, E., Cristea, A.I.: Who likes me more?: analysing entity-centric language-specific bias in multilingual Wikipedia. In: The 31st Annual ACM Symposium on Applied Computing, Pisa, Italy, 4–8 April 2016, pp. 750–757 (2016)

    Google Scholar 

  10. Zhou, Y., Demidova, E., Cristea, A.I.: Analysing entity context in multilingual wikipedia to support entity-centric retrieval applications. In: Semantic Keyword-Based Search on Structured Data Sources - First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, 8-9 September 2015, pp. 197–208 (2015). Revised Selected Papers

    Google Scholar 

  11. Boiński, T., Chojnowski, A.: Towards facts extraction from text in Polish language. In: 2017 IEEE International Conference on Innovations in Intelligent SysTems and Applications (INISTA), pp. 13–17. IEEE (2017)

    Google Scholar 

  12. Souza, T., Demidova, E., Risse, T., Holzmann, H., Gossen, G., Szymanski, J.: Semantic URL analytics to support efficient annotation of large scale Web archives. In: Cardoso, J., Guerra, F., Houben, G.-J., Pinto, A.M., Velegrakis, Y. (eds.) KEYSTONE 2015. LNCS, vol. 9398, pp. 153–166. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-27932-9_14

    Chapter  Google Scholar 

  13. Gossen, G., Demidova, E., Risse, T.: iCrawl: improving the freshness of Web collections by integrating social Web and focused Web crawling. In: The 15th ACM/IEEE-CE Joint Conference on Digital Libraries, Knoxville, TN, USA, 21–25 June 2015, pp. 75–84 (2015)

    Google Scholar 

  14. Demidova, E., Barbieri, N., Dietze, S., Funk, A., Holzmann, H., Maynard, D., Papailiou, N., Peters, W., Risse, T., Spiliotopoulos, D.: Analysing and enriching focused semantic Web archives for parliament applications. Future Internet 6, 433–456 (2014)

    Article  Google Scholar 

  15. Gossen, G., Demidova, E., Risse, T.: Extracting event-centric document collections from large-scale Web archives. In: The 21st International Conference on Theory and Practice of Digital Libraries, TPDL 2017, Thessaloniki, Greece, pp. 116–127 (2017)

    Google Scholar 

  16. Gossen, G., Demidova, E., Risse, T.: Analyzing Web archives through topic and event focused sub-collections. In: The 8th ACM Conference on Web Science, WebSci 2016, Hannover, Germany, 22–25 May 2016, pp. 291–295 (2016)

    Google Scholar 

  17. Szymanski, J., Rzeniewicz, J.: Identification of category associations using a multilabel classifier. Expert Syst. Appl. 61, 327–342 (2016)

    Article  Google Scholar 

  18. Szymanski, J.: Comparative analysis of text representation methods using classification. Cybern. Syst. 45, 180–199 (2014)

    Article  Google Scholar 

  19. Draszawka, K., Szymański, J., Guerra, F.: Improving css-KNN classification performance by shifts in training data. In: Cardoso, J., Guerra, F., Houben, G.-J., Pinto, A.M., Velegrakis, Y. (eds.) KEYSTONE 2015. LNCS, vol. 9398, pp. 51–63. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-27932-9_5

    Chapter  Google Scholar 

  20. Virik, M., Simko, M., Bieliková, M.: Blog style classification: refining affective blogs. Comput. Inform. 35, 1027–1049 (2016)

    Google Scholar 

  21. Tagarev, A., Toloşi, L., Alexiev, V.: Domain-specific modeling: towards a food and drink gazetteer. In: Cardoso, J., Guerra, F., Houben, G.-J., Pinto, A.M., Velegrakis, Y. (eds.) KEYSTONE 2015. LNCS, vol. 9398, pp. 182–196. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-27932-9_16

    Chapter  Google Scholar 

  22. Bergamaschi, S., Guerra, F., Interlandi, M., Lado, R.T., Velegrakis, Y.: Combining user and database perspective for solving keyword queries over relational databases. Inf. Syst. 55, 1–19 (2016)

    Article  Google Scholar 

  23. Demidova, E., Zhou, X., Nejdl, W.: Efficient query construction for large scale data. In: The 36th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2013, Dublin, Ireland, 28 July–01 August 2013, pp. 573–582 (2013)

    Google Scholar 

  24. Demidova, E., Oelze, I., Nejdl, W.: Aligning freebase with the YAGO ontology. In: 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013, San Francisco, CA, USA, pp. 579–588 (2013)

    Google Scholar 

  25. Bergamaschi, S., Guerra, F., Interlandi, M., Lado, R.T., Velegrakis, Y.: QUEST: a keyword search system for relational data based on semantic and machine learning techniques. PVLDB 6, 1222–1225 (2013)

    Google Scholar 

  26. Bernabei, C., Guerra, F., Lado, R.T.: Keyword search in structured data and network analysis: a preliminary experiment over DBLP. In: 10th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2015, Trento, Italy, 5–6 November 2015, pp. 1–6 (2015)

    Google Scholar 

  27. Bartolini, I., Patella, M.: Multimedia queries in digital libraries. In: Colace, F., De Santo, M., Moscato, V., Picariello, A., Schreiber, F.A., Tanca, L. (eds.) Data Management in Pervasive Systems. DSA, pp. 311–325. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20062-0_15

    Chapter  Google Scholar 

  28. Aydin, F., Husunbeyi, Z.M., Ozgur, A.: Automatic query generation using word embeddings for retrieving passages describing experimental methods. Database 2017 (2017)

    Google Scholar 

  29. Demeester, T., Trieschnigg, D., Nguyen, D., Zhou, K., Hiemstra, D.: Overview of the TREC 2014 federated Web search track. In: The 23rd Text Retrieval Conference (TREC) (2014)

    Google Scholar 

  30. Demeester, T., Trieschnigg, D., Nguyen, D., Hiemstra, D., Zhou, K.: FedWeb greatest hits: presenting the new test collection for federated Web search. In: Proceedings of the 24th International Conference on World Wide Web (WWW), pp. 27–28 (2015)

    Google Scholar 

  31. Belhajjame, K., Grigori, D., Harmassi, M., Ben Yahia, M.: Keyword-based search of workflow fragments and their composition. In: Nguyen, N.T., Kowalczyk, R., Pinto, A.M., Cardoso, J. (eds.) Transactions on Computational Collective Intelligence XXVI. LNCS, vol. 10190, pp. 67–90. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59268-8_4

    Chapter  Google Scholar 

  32. Kapitsaki, G.M., Kalaitzidou, G., Mettouris, C., Achilleos, A.P., Papadopoulos, G.A.: Identifying context information in datasets. In: Christiansen, H., Stojanovic, I., Papadopoulos, G.A. (eds.) CONTEXT 2015. LNCS (LNAI), vol. 9405, pp. 214–225. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25591-0_16

    Chapter  Google Scholar 

  33. Regueiro, M.A., Viqueira, J.R., Stasch, C., Taboada, J.A.: Semantic mediation of observation datasets through sensor observation services. Future Gener. Comput. Syst. 67, 47–56 (2017)

    Article  Google Scholar 

  34. Tax, N., Bockting, S., Hiemstra, D.: A cross-benchmark comparison of 87 learning to rank methods. Inf. Proc. Manage. 51, 757–772 (2015)

    Article  Google Scholar 

  35. Layfield, C., Azzopardi, J., Staff, C.: Experiments with document retrieval from small text collections using latent semantic analysis or term similarity with query coordination and automatic relevance feedback. In: Calì, A., Gorgan, D., Ugarte, M. (eds.) KEYSTONE 2016. LNCS, vol. 10151, pp. 25–36. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-53640-8_3

    Chapter  Google Scholar 

  36. Meštrović, A., Calì, A.: An ontology-based approach to information retrieval. In: Calì, A., Gorgan, D., Ugarte, M. (eds.) KEYSTONE 2016. LNCS, vol. 10151, pp. 150–156. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-53640-8_13

    Chapter  Google Scholar 

  37. Fetahu, B., Gadiraju, U., Dietze, S.: Improving entity retrieval on structured data. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9366, pp. 474–491. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25007-6_28

    Chapter  Google Scholar 

  38. Beliga, S., Meštrović, A., Martinčić-Ipšić, S.: Selectivity-based keyword extraction method. Int. J. Semant. Web Inf. Syst. (IJSWIS) 12, 1–26 (2016)

    Article  Google Scholar 

  39. Bartolini, I., Moscato, V., Pensa, R.G., Penta, A., Picariello, A., Sansone, C., Sapino, M.L.: Recommending multimedia visiting paths in cultural heritage applications. Multimedia Tools Appl. 75, 3813–3842 (2016)

    Article  Google Scholar 

  40. Azzopardi, J., Ivanovic, D., Kapitsaki, G.: Comparison of collaborative and content-based automatic recommendation approaches in a digital library of serbian PhD dissertations. In: Calì, A., Gorgan, D., Ugarte, M. (eds.) KEYSTONE 2016. LNCS, vol. 10151, pp. 100–111. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-53640-8_9

    Chapter  Google Scholar 

  41. Staff, C., Azzopardi, J., Layfield, C., Mercieca, D.: Search results clustering without external resources. In: 2015 26th International Workshop on Database and Expert Systems Applications (DEXA), pp. 276–280. IEEE (2015)

    Google Scholar 

  42. Boiński, T.: Game with a purpose for verification of mappings between Wikipedia and Wordnet. In: Calì, A., Gorgan, D., Ugarte, M. (eds.) KEYSTONE 2016. LNCS, vol. 10151, pp. 159–170. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-53640-8_14

    Chapter  Google Scholar 

  43. Jagoda, J., Boiński, T.: Assessing word difficulty for quiz-like game. In: The International Keystone Conference, IKC 2017 (2017)

    Google Scholar 

  44. Dietze, S.: Retrieval, crawling and fusion of entity-centric data on the Web. In: Calì, A., Gorgan, D., Ugarte, M. (eds.) KEYSTONE 2016. LNCS, vol. 10151, pp. 3–16. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-53640-8_1

    Chapter  Google Scholar 

  45. Regueiro, M.A., Viqueira, J.R.R., Stasch, C., Taboada, J.A.: Semantic mediation of observation datasets through sensor observation services. Future Gener. Comp. Syst. 67, 47–56 (2017)

    Article  Google Scholar 

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Acknowledgements

This chapter was supported by COST (European Cooperation in Science and Technology) under Action IC1302 (KEYSTONE).

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Authors and Affiliations

  1. Department of Computer Systems Architecture, Faculty of Electronic Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland

    Julian Szymański

  2. L3S Research Center, Leibniz Universität Hannover, Hannover, Germany

    Elena Demidova

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Correspondence to Julian Szymański .

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  1. Gdańsk University of Technology, Gdańsk, Poland

    Julian Szymański

  2. Università degli Studi di Trento, Trento, Italy

    Yannis Velegrakis

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Szymański, J., Demidova, E. (2018). KEYSTONE WG2: Activities and Results Overview on Keyword Search. In: Szymański, J., Velegrakis, Y. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2017. Lecture Notes in Computer Science(), vol 10546. Springer, Cham. https://doi.org/10.1007/978-3-319-74497-1_21

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  • DOI: https://doi.org/10.1007/978-3-319-74497-1_21

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