Disease Ontology for text mining
Hi,
Somebody used DO before with RapidMiner?
Maybe somebody can help me how to use this technology for text mining within RM?
http://disease-ontology.org/
Thanks
Sven
Does the DO browser have an API that can be accessed in a programmer-friendly way?
The DO browser does have an API that can be accessed via HTTP requests in a programmatic fashion. Currently only retrieving term metadata is supported but in the future we hope to expand the functionality. More information can be found on the tutorial page
What database does the Disease Ontology browser use?
The Disease Ontology browser uses Neo4j to store the ontology metadata. Neo4j falls under the umbrella of NoSQL databases (Wikipedia) being an embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs. Since Neo4j is a graph-based persistence engine, representing graph structures that include multiple relationships is very easy and data retrieval is very fast. Where a relational database might store ontology terms in one table with a one-to-many connection to another table containing relationships, a graph database stores terms as nodes that are connected to each other by edges (relationships).
Somebody used DO before with RapidMiner?
Maybe somebody can help me how to use this technology for text mining within RM?
http://disease-ontology.org/
Thanks
Sven
Does the DO browser have an API that can be accessed in a programmer-friendly way?
The DO browser does have an API that can be accessed via HTTP requests in a programmatic fashion. Currently only retrieving term metadata is supported but in the future we hope to expand the functionality. More information can be found on the tutorial page
What database does the Disease Ontology browser use?
The Disease Ontology browser uses Neo4j to store the ontology metadata. Neo4j falls under the umbrella of NoSQL databases (Wikipedia) being an embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs. Since Neo4j is a graph-based persistence engine, representing graph structures that include multiple relationships is very easy and data retrieval is very fast. Where a relational database might store ontology terms in one table with a one-to-many connection to another table containing relationships, a graph database stores terms as nodes that are connected to each other by edges (relationships).