Comparison Between Performance of Various Database Systems for Implementing a Language Corpus

Autor:	N. H. N. D. de Silva, Chamila Wijayarathna, Maduranga Siriwardena, Chinthana Wimalasuriya, Lahiru Lasandun, Dimuthu Upeksha, Gihan Dias
Rok vydání:	2015
Předmět:	Indexed file Graph database Database business.industry Computer science Relational database InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL computer.software_genre NoSQL Database design Column (database) Computer data storage Data_FILES Architecture business computer
Zdroj:	Beyond Databases, Architectures and Structures ISBN: 9783319184210 BDAS
Popis:	Data storage and information retrieval are some of the most important aspects when it comes to the development of a language corpus. Currently most corpora use either relational databases or indexed file systems. When selecting a data storage system, most important facts to consider are the speeds of data insertion and information retrieval. Other than the aforementioned two approaches, currently there are various database systems which have different strengths that can be more useful. This paper compares the performance of data storage and retrieval mechanisms which use relational databases, graph databases, column store databases and indexed file systems for various steps such as inserting data into corpus and retrieving information from it, and tries to suggest an optimal storage architecture for a language corpus.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bea6eb3b10b255ff07fedf8de6ae927b https://doi.org/10.1007/978-3-319-18422-7_7 Zobrazit plný text záznamu