Open AccessA Domain Specific Entity Linking Approach Consuming Multistore Environment
Author(s) -
Emrah İnan,
Burak Yonyul,
Fatih Tekbacak
Publication year - 2018
Publication title -
akıllı sistemler ve uygulamaları dergisi
Language(s) - English
Resource type - Journals
ISSN - 2667-6893
DOI - 10.54856/jiswa.201805016
Subject(s) - computer science , domain (mathematical analysis) , task (project management) , semi structured data , database , data type , data mining , information retrieval , relational database , systems engineering , programming language , engineering , mathematical analysis , mathematics
Most of the data on the web is non-structural, and it is required that the data should be transformed into a machine operable structure. Therefore, it is appropriate to convert the unstructured data into a structured form according to the requirements and to store those data in different data models by considering use cases. As requirements and their types increase, it fails using one approach to perform on all. Thus, it is not suitable to use a single storage technology to carry out all storage requirements. Managing stores with various type of schemas in a joint and an integrated manner is named as 'multistore' and 'polystore' in the database literature. In this paper, Entity Linking task is leveraged to transform texts into wellformed data and this data is managed by an integrated environment of different data models. Finally, this integrated big data environment will be queried and be examined by presenting the method.