Name
Abstract | ||
|---|---|---|
The results of our evaluation show that, compared to other commonly used libraries, owlcpp is significantly more efficient in terms of memory usage and searching RDF triple stores. owlcpp performs strict parsing and detects errors ignored by other libraries, thus reducing the possibility of incorrect semantic interpretation of ontologies. owlcpp is available at http://owl-cpp.sf.net/ under the Boost Software License, Version 1.0. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s13326-015-0035-z | Journal of Biomedical Semantics |
Keywords | Field | DocType |
Logic Module, Triple Store, Blank Node, Large Ontology, Axiom Generation | Data science,Ontology (information science),Data mining,Blank node,Information retrieval,Computer science | Journal |
Volume | Issue | ISSN |
6 | 1 | 2041-1480 |
Citations | PageRank | References |
5 | 0.48 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikhail K. Levin | 1 | 7 | 1.97 |
| Lindsay G. Cowell | 2 | 153 | 15.43 |