CRPA incremental taxonomy
<p>AI-RPA taxonomy generated following the proposal of an automatic generation method of an incremental taxonomy for Supporting the Users in the Development of an RPA Project</p> <p>An AI-RPA taxonomy AI-RPAT = (KnowlSources, TaxCategs, CategoryTerms, CategoryChars, InputFormatSupported, OutputFormat) consists of</p> <ul> <li>KnowlSources: a set of tuples (source_{id},source_{name}) which contains a unique id in the $AI-RPAT$, and the name of the knowledge source.</li> <li> TaxCategs: a set of tuples (taxCategory_{id}, taxCategory_{name}, parentTaxCateg_{id}) which contains a unique id, a name and the id of its parent category for each taxonomic category. % i.e., the category term that stands as the representative of the others. The $TaxCategs$ correspond to the tree nodes, not the $CategoryTerms$.</li> <li> CategoryTerms: a set of tuples (categoryTerm_{id}, categoryTerm_{name}, categoryTerm_{isRepresentative}, source_{id}, taxCategory_{id}) which contains a unique id, the name of the category (that is given by the knowledge source), a boolean that shows whether it corresponds to the category term of a taxonomic category (i.e., whether it represents to the rest of the category terms defined as equivalent terms), an id of the related knowledge source in $KnowlSources$, and an id of a taxonomic category in TaxCategs. The latter aims to keep synonymous relationships.</li> <li> CategoryChars: a set of tuples (categoryChars_{id}, categoryChars_{description}, categoryTerm_{id}) which contains a unique id, the description of the characteristics that must be fulfilled by a component to belong to this category, and an id of the related category in CategoryTerms.</li> <li> Input Format Supported: a set of tuples (inputFormSup_{id}$, $inputFormSup_{name}$, $categoryTerm_{id}) which contains a unique id, the name of the input type that can support the related category and id of such category.</li> <li> Output Format: a set of tuples (outputFormSup_{id}, outputFormSup_{name}, categoryTerm_{id}) which contains a unique id, the name of the output type that can support the related category and the id of such category.</li> </ul>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4