Rancang Bangun Plugin Protégé Menggunakan Ekspresi SPARQL-DL Dengan Masukan Bahasa Alami

SPARQL-DL: SPARQL Query for OWL-DL

There are many query languages (QLs) that can be used to query RDF and OWL ontologies but neither type is satisfactory for querying OWL-DL ontologies. RDF-based QLs (RDQL, SeRQL, SPARQL) are harder to give a semantics w.r.t. OWL-DL and are more powerful than what OWL-DL reasoners can provide. DL-based QLs (DIG ask queries, nRQL) have clear semantics but are not powerful enough in the general ca...

Multidimensi Pada Data Warehouse Dengan Menggunakan Rumus Kombinasi

Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional data warehouse is incomplete. Multidimensional give the able to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP).

Validasi data dengan menggunakan objek lookup pada borland delphi 7.0

s: Developing an application with some tables must concern the validation of input (scpecially in Table Child). In order to maximize the accuracy and input data validation. Its called lookup (took data from other dataset). There are 2 (two) ways to lookup data from Table Parent: 1) Using Objects (DBLookupComboBox & DBLookupListBox), or 2) Arranging The Properties Of Fields Data Type (shown by u...

The BioPortal Import Plugin for Protégé

SPARQL-DL Implementation Experience

Recently, SPARQL-DL was introduced in [7] as a rich query language for OWL-DL ontologies. It provides an OWL-DL-like semantics for SPARQL basic graph patterns which involves as special cases both conjunctive ABox queries and mixed TBox/RBox/ABox queries over Description Logic (DL) ontologies. This paper describes the implementation of a SPARQL-DL query engine and discusses several optimizations...