Thesis (Selection of subject)Thesis (Selection of subject)(version: 285)
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Keyword Search in Multi-Model Databases
Thesis title in Czech: Keyword Search in Multi-Model Databases
Thesis title in English: Keyword Search in Multi-Model Databases
Key words: Keyword search, multi-model database
English key words: Keyword search, multi-model database
Academic year of topic announcement: 2018/2019
Type of assignment: diploma thesis
Thesis language:
Department: Department of Software Engineering (32-KSI)
Supervisor: doc. RNDr. Irena Holubová, Ph.D.
Author:
Guidelines
The problém of key-word search has been widely studied. There exist a number of works which focus on semi-structured data, such as, e.g., XML documents and their specifics with reagrds to returning a reasonable result. The aim of this thesis is to map this approach to the world of multi-model data, i.e. a combination of semi-structured and other data (e.g., JSON documents ćombined with graphs). The proposed approach will be experimentally tested on real-world/synthetic data.
References
Thuy Ngoc Le, Zhifeng Bao, Tok Wang Ling: Exploiting semantics for XML keyword search. Data Knowl. Eng. 99: 105-125 (2015) https://www.comp.nus.edu.sg/~lingtw/papers/DKE_ER2014_specialissue.LeThuyNgoc.pdf

Thuy Ngoc Le, Tok Wang Ling: Survey on Keyword Search over XML Documents. ACM SIGMOD Record, 2016. https://dl.acm.org/citation.cfm?doid=3022860.3022863

Jiaheng Lu: Towards Microbenchmarking Multi-Model Databases. CIDR 2017. http://cidrdb.org/cidr2017/gongshow/abstracts/cidr2017_20.pdf






Preliminary scope of work
Cílem práce je rozšířit existující řešení pro hledání klíčových slov v XML dokumentech do světa multi-model databází. V takových systémech nejsou data uložena pomocí jediného modelu (např. relačního), ale pomocí kombinace více vzájemně propojených modelů. Můžeme předpokládat např. JSON dokumenty kombinované s grafovými daty.
 
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