Skip to main content

Graph Exploration and Search

  • Reference work entry
  • First Online:
Book cover Encyclopedia of Big Data Technologies
  • 57 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 849.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Achiezra H, Golenberg K, Kimelfeld B, Sagiv Y (2010) Exploratory keyword search on data graphs. In: SIGMOD, pp 1163–1166

    Google Scholar 

  • Arenas M, Cuenca Grau B, Kharlamov E, Marciuska S, Zheleznyakov D (2014) Faceted search over ontology-enhanced RDF data. In: CIKM. ACM, pp 939–948

    Google Scholar 

  • Bhalotia G, Hulgeri A, Nakhe C, Chakrabarti S, Sudarshan S (2002) Keyword searching and browsing in databases using banks. In: ICDE, pp 431–440

    Google Scholar 

  • Byrka J, Grandoni F, Rothvoss T, Sanità L (2013) Steiner tree approximation via iterative randomized rounding. J ACM 60(1):6

    Article  MathSciNet  MATH  Google Scholar 

  • Carpineto C, Romano G (2012) A survey of automatic query expansion in information retrieval. ACM Comput Surv (CSUR) 44:1

    Article  MATH  Google Scholar 

  • Ding B, Yu JX, Wang S, Qin L, Zhang X, Lin X (2007) Finding top-k min-cost connected trees in databases. In: ICDE, pp 836–845

    Google Scholar 

  • Gionis A, Mathioudakis M, Ukkonen A (2015) Bump hunting in the dark – local discrepancy maximization on graphs. In: ICDE

    Book  Google Scholar 

  • Hurtado CA, Poulovassilis A, Wood PT (2008) Query relaxation in RDF. J Data Semant 4900(Chapter 2): 31–61

    Google Scholar 

  • Idreos S, Papaemmanouil O, Chaudhuri S (2015) Overview of data exploration techniques. In: Proceedings of the 2015 ACM SIGMOD international conference on management of data. ACM, pp 277–281

    Google Scholar 

  • Islam MS, Liu C, Li J (2015) Efficient answering of why-not questions in similar graph matching. TKDE 27(10):2672–2686

    Google Scholar 

  • Jayaram N, Goyal S, Li C (2015a) VIIQ: auto-suggestion enabled visual interface for interactive graph query formulation. PVLDB 8(12):1940–1943

    Google Scholar 

  • Jayaram N, Khan A, Li C, Yan X, Elmasri R (2015b) Querying knowledge graphs by example entity tuples. IEEE Trans Knowl Data Eng 27(10):2797–2811. https://doi.org/10.1109/TKDE.2015.2426696

    Article  Google Scholar 

  • Kargar M, An A (2011) Keyword search in graphs: finding r-cliques. In: VLDB, pp 681–692

    Google Scholar 

  • Koutrika G, Zadeh ZM, Garcia-Molina H (2009) Data clouds: summarizing keyword search results over structured data. In: EDBT, pp 391–402

    Google Scholar 

  • Lee J, Han WS, Kasperovics R, Lee JH (2012) An in-depth comparison of subgraph isomorphism algorithms in graph databases. In: PVLDB, VLDB Endowment, vol 6, pp 133–144

    Article  Google Scholar 

  • Li G, Ooi BC, Feng J, Wang J, Zhou L (2008) Ease: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data. In: SIGMOD, pp 903–914

    Google Scholar 

  • Ma S, Cao Y, Fan W, Huai J, Wo T (2014) Strong simulation: capturing topology in graph pattern matching. ACM Trans Database Syst (TODS) 39(1):4

    Article  MathSciNet  MATH  Google Scholar 

  • Mottin D, Müller E (2017) Graph exploration: from users to large graphs. In: SIGMOD, pp 1737–1740

    Google Scholar 

  • Mottin D, Bonchi F, Gullo F (2015) Graph query reformulation with diversity. In: Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 825–834

    Google Scholar 

  • Mottin D, Lissandrini M, Velegrakis Y, Palpanas T (2016) Exemplar queries: a new way of searching. VLDBJ 25(6):741–765

    Article  Google Scholar 

  • Perozzi B, Akoglu L, Iglesias Sánchez P, Müller E (2014) Focused clustering and outlier detection in large attributed graphs. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 1346–1355

    Google Scholar 

  • Pienta R, Abello J, Kahng M, Chau DH (2015) Scalable graph exploration and visualization: sensemaking challenges and opportunities. In: 2015 International Conference on Big Data and smart computing (BigComp), pp 271–278

    Google Scholar 

  • Ruchansky N, Bonchi F, García-Soriano D, Gullo F, Kourtellis N (2015) The minimum wiener connector problem. In: SIGMOD. ACM, New York, pp 1587–1602

    Google Scholar 

  • Staudt CL, Marrakchi Y, Meyerhenke H (2014) Detecting communities around seed nodes in complex networks. In: IEEE international conference on big data (Big Data). IEEE, pp 62–69

    Google Scholar 

  • Tong H, Faloutsos C (2006) Center-piece subgraphs: problem definition and fast solutions. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 404–413

    Google Scholar 

  • Tran QT, Chan CY (2010) How to conquer why-not questions. In: SIGMOD, pp 15–26

    Google Scholar 

  • Tran T, Wang H, Rudolph S, Cimiano P (2009) Top-k exploration of query candidates for efficient keyword search on graph-shaped (RDF) data. In: ICDE, pp 405–416

    Google Scholar 

  • Tran QT, Chan CY, Parthasarathy S (2014) Query reverse engineering. In: VLDB, pp 721–746

    Google Scholar 

  • Vasilyeva E, Thiele M, Bornhövd C, Lehner W (2016) Answering “why empty?” and “why so many?” queries in graph databases. J Comput Syst Sci 82(1):3–22

    Article  MathSciNet  MATH  Google Scholar 

  • Wang H, Aggarwal CC (2010) A survey of algorithms for keyword search on graph data. In: Managing and mining graph data, pp 249–273

    Google Scholar 

  • Xie M, Bhowmick SS, Cong G, Wang Q (2017) Panda: toward partial topology-based search on large networks in a single machine. VLDBJ 26(2):203–228

    Article  Google Scholar 

  • Yi P, Choi B, Bhowmick SS, Xu J (2017) Autog: a visual query autocompletion framework for graph databases. VLDBJ 26(3):347–372

    Article  Google Scholar 

  • Yu JX, Qin L, Chang L (2010) Keyword search in relational databases: a survey. IEEE Data Eng Bull 331: 67–78

    Google Scholar 

  • Zeng Y, Bao Z, Ling TW, Jagadish H, Li G (2014) Breaking out of the mismatch trap. In: ICDE, pp 940–951

    Google Scholar 

  • Zloof MM (1975) Query by example. In: Proceedings of the May 19–22, 1975, national computer conference and exposition. ACM, pp 431–438

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Davide Mottin or Yinghui Wu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Mottin, D., Wu, Y. (2019). Graph Exploration and Search. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_80

Download citation

Publish with us

Policies and ethics