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Utilizing Knowledge Graphs for Text-Centric Information Retrieval

Published:27 June 2018Publication History

ABSTRACT

The past decade has witnessed the emergence of several publicly available and proprietary knowledge graphs (KGs). The depth and breadth of content in these KGs made them not only rich sources of structured knowledge by themselves, but also valuable resources for search systems. A surge of recent developments in entity linking and entity retrieval methods gave rise to a new line of research that aims at utilizing KGs for text-centric retrieval applications. This tutorial is the first to summarize and disseminate the progress in this emerging area to industry practitioners and researchers.

References

  1. Saeid Balaneshin-kordan and Alexander Kotov . 2016. Sequential query expansion using concept graph. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. 155--164. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Saeid Balaneshinkordan and Alexander Kotov . 2016. An Empirical Comparison of Term Association and Knowledge Graphs for Query Expansion ECIR.Google ScholarGoogle Scholar
  3. Niranjan Balasubramanian and Silviu Cucerzan . 2010. Beyond Ranked Lists in Web Search: Aggregating Web Content into Topic Pages. International Journal of Semantic Computing, Vol. 4, 4 (2010), 509--534.Google ScholarGoogle ScholarCross RefCross Ref
  4. Krisztian Balog, Pavel Serdyukov, and Arjen P de Vries . 2010. Overview of the TREC 2010 entity track. In TREC.Google ScholarGoogle Scholar
  5. Hannah Bast, Florian B"aurle, Björn Buchhold, and Elmar Haußmann . 2014. Semantic full-text search with broccoli. In SIGIR. 1265--1266. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Michael Bendersky, Donald Metzler, and W Bruce Croft . 2012. Effective query formulation with multiple information sources Proc. of WSDM-12. 443--452. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang . 2013. Semantic parsing on freebase from question-answer pairs EMNLP. 1533--1544.Google ScholarGoogle Scholar
  8. Roi Blanco, Giuseppe Ottaviano, and Edgar Meij . 2015. Fast and Space-Efficient Entity Linking for Queries WSDM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Horatiu Bota, Ke Zhou, Joemon M Jose, and Mounia Lalmas . 2014. Composite retrieval of heterogeneous web search. Proceedings of the 23rd international conference on World wide web. ACM, 119--130. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Kevin K Bowden, Shereen Oraby, Jiaqi Wu, Amita Misra, and Marilyn Walker . 2017. Combining Search with Structured Data to Create a More Engaging User Experience in Open Domain Dialogue. In SCAI Workshop at ICTIR.Google ScholarGoogle Scholar
  11. Jeffrey Dalton and Laura Dietz . 2012. Bi-directional linkability from Wikipedia to documents and back again: UMass at TREC 2012 knowledge base acceleration track. Technical Report. DTIC Document.Google ScholarGoogle Scholar
  12. Jeffrey Dalton, Laura Dietz, and James Allan . 2014. Entity Query Feature Expansion Using Knowledge Base Links SIGIR. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Gianluca Demartini, Tereza Iofciu, and Arjen P. de Vries . 2009. Overview of the INEX 2009 Entity Ranking Track INEX. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, and Li Deng . 2017. Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL. 484--495.Google ScholarGoogle Scholar
  15. Laura Dietz and Jeffrey Dalton . 2013. UMass at TREC 2013 Knowledge Base Acceleration Track: Bi-directional Entity Linking and Time-aware Evaluation.. In TREC.Google ScholarGoogle Scholar
  16. Laura Dietz, Manisha Verma, Filip Radlinski, and Nick Craswell . 2017. TREC Complex Answer Retrieval Overview. In TREC.Google ScholarGoogle Scholar
  17. Laura Dietz, Chenyan Xiong, and Edgar Meij (Eds.). . 2017. Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Shinjuku, Tokyo, Japan, August 11, 2017. CEUR Workshop Proceedings, Vol. Vol. 1883. CEUR-WS.org. http://ceur-ws.org/Vol-1883Google ScholarGoogle Scholar
  18. Huizhong Duan and ChengXiang Zhai . 2015. Mining Coordinated Intent Representation for Entity Search and Recommendation CIKM. ACM, 333--342. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Anthony Fader, Stephen Soderland, and Oren Etzioni . 2011. Identifying relations for open information extraction EMNLP. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Paolo Ferragina and Ugo Scaiella . 2010. Tagme: on-the-fly annotation of short text fragments (by wikipedia entities) CIKM. 1625--1628. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Evgeniy Gabrilovich, Michael Ringgaard, and Amarnag Subramanya . 2013. FACC1: Freebase annotation of ClueWeb corpora, Version 1. (2013).Google ScholarGoogle Scholar
  22. Dar'ıo Garigliotti and Krisztian Balog . 2017. On Type-Aware Entity Retrieval. In SIGIR. 27--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. David Graus, Manos Tsagkias, Wouter Weerkamp, Edgar Meij, and Maarten de Rijke . 2016. Dynamic collective entity representations for entity ranking WSDM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Faegheh Hasibi, Krisztian Balog, and Svein Erik Bratsberg Exploiting entity linking in queries for entity retrieval.Google ScholarGoogle Scholar
  25. Faegheh Hasibi, Fedor Nikolaev, Chenyan Xiong, Krisztian Balog, Svein Erik Bratsberg, Alexander Kotov, and Jamie Callan . 2017. DBpedia-Entity v2: A Test Collection for Entity Search SIGIR. 1265--1268. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Jiyin He and Marc Bron . 2017. Measuring Demonstrated Potential Domain Knowledge with Knowledge Graphs KG4IR Workshop at SIGIR.Google ScholarGoogle Scholar
  27. Ben Hixon, Peter Clark, and Hannaneh Hajishirzi . 2015. Learning knowledge graphs for question answering through conversational dialog NAACL-HLT. 851--861.Google ScholarGoogle Scholar
  28. Johannes Hoffart, Dragan Milchevski, and Gerhard Weikum . 2014. STICS: Searching with Strings, Things, and Cats. SIGIR. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Heng Ji, Joel Nothman, Ben Hachey, and others . 2014. Overview of tac-kbp2014 entity discovery and linking tasks TAC. 1333--1339.Google ScholarGoogle Scholar
  30. Amina Kadry and Laura Dietz . 2017. Open Relation Extraction for Support Passage Retrieval: Merit and Open Issues SIGIR. 1149--1152. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. Rianne Kaptein, Pavel Serdyukov, Arjen P. de Vries, and Jaap Kamps . 2010. Entity ranking using Wikipedia as a pivot. In CIKM. 69--78. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Alexander Kotov . 2016. Knowledge Graph Entity Representation and Retrieval. tutorial chapter, RuSSIR (2016).Google ScholarGoogle Scholar
  33. Alexander Kotov and ChengXiang Zhai . 2012. Tapping into knowledge base for concept feedback: leveraging conceptnet to improve search results for difficult queries. In WSDM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Adit Krishnan, P Deepak, Sayan Ranu, and Sameep Mehta . 2017. Leveraging semantic resources in diversified query expansion. World Wide Web (2017), 1--27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Ni Lao and William W Cohen . 2010. Relational retrieval using a combination of path-constrained random walks. Machine Learning, Vol. 81, 1 (2010), 53--67. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Hongyu Li, Chenyan Xiong, and Jamie Callan . 2017. Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs KG4IR Workshop at SIGIR.Google ScholarGoogle Scholar
  37. Peng Li, Jing Jiang, and Yinglin Wang . 2010. Generating templates of entity summaries with an entity-aspect model and pattern mining ACL. 640--649. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Xitong Liu and Hui Fang . 2015. Latent entity space: a novel retrieval approach for entity-bearing queries. Information Retrieval Journal Vol. 18, 6 (2015), 473--503. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Edgar Meij, Wouter Weerkamp, and Maarten de Rijke . 2012. Adding Semantics to Microblog Posts. In WSDM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Mike Mintz, Steven Bills, Rion Snow, and Dan Jurafsky . 2009. Distant supervision for relation extraction without labeled data ACL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Federico Nanni, Simone Paolo Ponzetto, and Laura Dietz . 2018. Entity-aspect linking: providing fine-grained semantics of entities in context JCDL. Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. Robert Neumayer, Krisztian Balog, and Kjetil Nørvåg . 2012. On the modeling of entities for ad-hoc entity search in the web of data Proc. ECIR. 133--145. Google ScholarGoogle ScholarDigital LibraryDigital Library
  43. Lan Nie, Brian D. Davison, and Xiaoguang Qi . 2006. Topical Link Analysis for Web Search. In SIGIR. New York, NY, USA, 91--98. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Zaiqing Nie, Ji-Rong Wen, and Wei-Ying Ma . 2007. Object-level Vertical Search.. In CIDR. 235--246.Google ScholarGoogle Scholar
  45. Fedor Nikolaev, Alexander Kotov, and Nikita Zhiltsov . 2016. Parameterized Fielded Term Dependence Models for Ad-hoc Entity Retrieval from Knowledge Graph SIGIR. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Sandeep Panem, Romil Bansal, Manish Gupta, and Vasudeva Varma . 2014. Entity Tracking in Real-Time using Sub-Topic Detection on Twitter. Advances in Information Retrieval. Springer, 528--533.Google ScholarGoogle Scholar
  47. Jeffrey Pound, Peter Mika, and Hugo Zaragoza . 2010. Ad-hoc object retrieval in the web of data. In WWW. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. Delip Rao, Paul McNamee, and Mark Dredze . 2013. Entity linking: Finding extracted entities in a knowledge base Multi-source, Multilingual Information Extraction and Summarization.Google ScholarGoogle Scholar
  49. Hadas Raviv, Oren Kurland, and David Carmel . 2016. Document Retrieval Using Entity-Based Language Models SIGIR. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. Ridho Reinanda, Edgar Meij, and Maarten de Rijke . 2015. Mining, ranking and recommending entity aspects. SIGIR. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. Michael Schuhmacher, Laura Dietz, and Simone Paolo Ponzetto . 2015. Ranking Entities for Web Queries through Text and Knowledge CIKM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. Michael Schuhmacher, Benjamin Roth, Simone Paolo Ponzetto, and Laura Dietz . 2016. Finding Relevant Relations in Relevant Documents. ECIR.Google ScholarGoogle Scholar
  53. Svitlana Vakulenko, Ilya Markov, and Maarten de Rijke . 2017. Conversational Exploratory Search via Interactive Storytelling SCAI.Google ScholarGoogle Scholar
  54. Nikos Voskarides, Edgar Meij, Manos Tsagkias, Maarten de Rijke, and Wouter Weerkamp . 2015. Learning to explain entity relationships in knowledge graphs ACL-IJCNLP.Google ScholarGoogle Scholar
  55. Chenyan Xiong and Jamie Callan . 2015 a. Esdrank: Connecting query and documents through external semi-structured data CIKM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. Chenyan Xiong, Jamie Callan, and Tie-Yan Liu . 2017. Word-Entity Duet Representations for Document Ranking SIGIR. 763--772. Google ScholarGoogle ScholarDigital LibraryDigital Library
  57. Chenyan Xiong and James P. Callan . 2015 b. Query Expansion with Freebase. In ICTIR. Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Nikita Zhiltsov, Alexander Kotov, and Fedor Nikolaev . 2015. Fielded Sequential Dependence Model for Ad-Hoc Entity Retrieval in the Web of Data SIGIR. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGIR '18: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
      June 2018
      1509 pages
      ISBN:9781450356572
      DOI:10.1145/3209978

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      Publication History

      • Published: 27 June 2018

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      Acceptance Rates

      SIGIR '18 Paper Acceptance Rate86of409submissions,21%Overall Acceptance Rate792of3,983submissions,20%

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