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Thesis details
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Perzonalizované vyhledávání podle klíčových slov v grafech
Thesis title in Czech: Perzonalizované vyhledávání podle klíčových slov v grafech
Thesis title in English: Personalized Keyword Search on Graphs
Key words: orientované grafy s vlastnostmi, vyhledávání podle klíčových slov, profilové grafy
English key words: property graphs, keyword search, profile graphs
Academic year of topic announcement: 2021/2022
Thesis type: dissertation
Thesis language:
Department: Department of Software Engineering (32-KSI)
Supervisor: prof. RNDr. Jaroslav Pokorný, CSc.
Author:
Guidelines
Property graphs provide an important source of information not only concerning their structure but also about content described by properties. As a lot of graph databases have no schema, a keyword search can be an interesting alternative for an interested user. The goal of the work is to develop a method that takes into account not only keyword occurrences, but also graphs patterns where keywords occur. Even a set of keywords representing a query can be considered as a profile graph and used for querying by graph-oriented algorithms. As a database tool for property graphs storage and associated experiments a commercial product Neo4j can be used .
References
Elbassuoni, S., Blanco, R.: Keyword search over RDF graphs. In: CIKM '11 Proceedings, ACM, 2011, pp. 237-242.
Kargar, M., Golab, L., Szlichta, J.: Effective Keyword Search in Graphs. Cornel University Library, arXiv:1512.06395, 2016
Pokorny, J., Snášel, V.: Big Graph Storage, Processing and Visualization. Chapter 12 in: Graph-Based Social Media Analysis. Chapman and Hall/CRC, I. Pitas (Ed.), 2016, pp. 391 – 416.
Robinson, I., Webber, J., Eifrém, E.: Graph Databases. O’Reilly Media (2013).
Manning, Ch. D., Raghava, P., Schütze, H.: Introduction to Information Retrieval, Cambridge University Press. 2008.
 
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