Global ETD Search

1	Elasticity of Elasticsearch Tsaousi, Kleivi Dimitris January 2021 (has links) Elasticsearch has evolved from an experimental, open-source, NoSQL database for full-text documents to an easily scalable search engine that canhandle a large amount of documents. This evolution has enabled companies todeploy Elasticsearch as an internal search engine for information retrieval (logs,documents, etc.). Later on, it was transformed as a cloud service and the latestdevelopment allows a containerized, serverless deployment of the application,using Docker and Kubernetes.This research examines the behaviour of the system by comparing the length and appearance of single-term and multiple-terms queries, the scaling behaviour and the security of the service. The application is deployed on Google Cloud Platform as a Kubernetes cluster hosting containerized Elasticsearch images that work as databasenodes of a bigger database cluster. As input data, a collection of JSON formatted documents containing the title and abstract of published papersin the field of computer science was used inside a single index. All the plots were extracted using Kibana visualization software. The results showed that multiple-term queries put a bigger stress on thesystem than single-term queries. Also the number of simultaneous users querying in the system is a big factor affecting the behaviour of the system. By scaling up the number of Elasticsearch nodes inside the cluster, indicated that more simultaneous requests could be served by the system. Cloud computing elasticsearch docker kubernetes devops full-text search search engines Computer Systems Datorsystem
2	Matematický vyhledávač / Mathematical Search Engine Mišutka, Jozef January 2013 (has links) Mathematics has been used to describe phenomena and problems in many re- search fields for centuries. The basic elements used in the description are formu- lae which express information symbolically. However, searching for mathematical knowledge in digital form using available tools is still cumbersome. We address this issue by presenting the mathematical search engine EgoMath, based on a full text searching, which can search for mathematical formulae and text. We perform an eval- uation over a large collection of documents showing that our solution is usable. Our approach can be used with huge document collections by applying one specialised technique. In order to provide a valuable evaluation of the quality, we built an al- ternative mathematical search engine using the feature extraction technique proposed by Ma et al. We propose important improvements to this solution achieving interest- ing results. We perform the first ever cross-evaluation of mathematical search engines based on different algorithms. A comprehensive survey of existing techniques avail- able, presented in this thesis, completes the picture of mathematical searching.
3	Webová aplikace pro fulltextové vyhledávání nad PDF dokumenty / Web Application for Fulltext Search in PDF Documents Svoboda, Ondřej January 2012 (has links) This master's thesis describes principles of full text search engines, design and implementation of web application for referencing and full text searching in PDF documents. It also contains an overview and comparison with currently available reference management software. There are discussed bibliographic information export possibilities in various citation styles and formats. Final application is written in PHP scripting language and uses MySQL database.
4	Use Case Driven Evaluation of Database Systems for ILDA Thapa, Shova 18 November 2022 (has links) No description available. Computer Science Computer Engineering Databases Full-text search MySQL MariaDB MongoDB MongoDB Atlas Atlas Search Elasticsearch Solr Elasticsearch vs. Solr Atlas Search vs. Elasticsearch evaluation use cases ILDA ILDA dictionary dictionary Myaamia Indigenous language search features comparison

1

Page generated in 0.0544 seconds