To see what is this about please watch our videos of Structured Search and DPpedia search using this tool. There is also a step-by-step detailed Tutorial.
If you like it we welcome you to acquire and install your own instance of Free Edition software. You deploy it as a Tomcat web application and you can use it instead of your current SPARQL editor.
WAR file MD5 checksum: 410e7144285b7efbc241991d064cd7d9[contact-form-7 404 "Not Found"][/box]
Support is available through the supervised community forum.
The current state of art of SPARQL endpoints and query builders are roadblocks to wider adoption of semantic technologies.
Firstly, they do not provide adequate help to users to understand what data is available, how the classes and attributes are named, what the relations are.
Secondly, their demand to know SPARQL is a fatal one to get people started. The threshold to create a meaningful query to fetch the relevant dataset or execute the semantic search is very high. The trend of more integrated linked data is in danger of not reaching its potential because people simply have no tools to query it.
Our method is transformational. It handles both pain points very efficiently and allows a casual non-programmer user to understand the model of data and build the query implicitly, without almost being aware of it.
Conceptually, our method is different as it does not rely on existence of complete ontology in order to build the query (which requirement is contradictory to scheme-last nature of linked data graph publishing). While existing query builders are based on top-down approach and assume there is a Tbox defined and loaded – our approach infers and reveals the actual model from the data – thus is always accurate at the time of the query.
We believe our method can be the game changer to empower the linked data consumer.
Use our method and components for your proprietary Semantic Technology based systems to hide complexity of SPARQL and thereby gain and empower non-engineering users.