GOOSE: An Object-oriented Search Algorithm with Graph-based Database


Cheng, Chi Qin and Haw, Su Cheng (2019) GOOSE: An Object-oriented Search Algorithm with Graph-based Database. In: 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technologies (CSUDET), 7-9 Nov. 2019, Penang, Malaysia.

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—NoSQL database especially key-value store is employed in most search engine. Being one of many NoSQL databases, Graph Database is tailored to store objects and bidirectional relationships with attributes as node and graph so that it can better represent the real world scenario. On the other hand, Object-oriented paradigm sparks as a convenient approach to programming as it reflects the reality as a model of classes. However, both graph database and object-oriented paradigm are seldom addressed and utilized in search algorithms. This signifies an opportunity to discover an alternative for search engine using graph database and object�oriented search algorithm that imitate search capability of a human brain. In this paper, we present a graph-based object�oriented search algorithm named GOOSE that is designed for internet search purpose.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Non-relational databases NoSQL, graph database, object-oriented, search engine, search algorithm
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 07 Oct 2021 01:05
Last Modified: 07 Oct 2021 01:05


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