Data Extraction from Ontologies Used in Biological Sciences

• Khin Myo Sett

  English

  Author

In addition to outlining the basic steps involved in retrieving information, this article goes over some of the most well-
known traditional methods, including keyword-based and ontology-based approaches. This chapter provides a high-level summary of
image retrieval systems. This chapter provides a brief overview of many types of picture retrieval, including those that rely on keywords,
content, or ontologies. An ontology-based biological information system evaluation methodology is also detailed. This study topic
describes the Neo4j graph database and provides examples of graph databases and various kinds of graph databases. An ontology-based
biological information system is extensively detailed in this work. In the ontology creation model, we talk about taxonomies and the idea
of ontologies. In this article, we will go over the current state of the art in biology graph database construction, with the goal of
inspiring you to use neo4j and introducing you to its strengths. The suggested system's implementation is covered in this paper. This
chapter also includes the Java implementation. We talk about a methodology for evaluating biological information systems that are
built on ontologies. This chapter provides a description of UML diagrams. Analyses and descriptions of the query results and
experimental outcomes are included in this study.

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