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This paper presents an approach to effectively mine data from a Monogenean image data set. This approach uses a Taxonomy ontology which includes image annotation with 3 major categories of taxonomic classification, key identification (morphological structure) and image property (types of image). The images are stored locally and annotated with these parameters. The Taxonomy ontology is used for querying...
This paper focuses on information retrieval from relational databases on biodiversity content of flora and fauna in Malaysia. The retrieval process was done considering factors such as the databases are distributed, located in Windows as well as Linux platforms, developed using a variety of Database Management Systems and the structure of the tables are not standardized. Structured Query Language...
Biological data is huge and increasing rapidly therefore data storing and mining will become major challenges. We have encountered several key problems related to limitations in the database management system (DBMS) used and information retrieval in our in-house Monogenean-host database. In this paper we will be presenting the ontology developed that is specific to our dataset using semantic technology...
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