KO TGM 2016

Category	Template generation
Description	Description SenTGM is a SRDF-based Korean Template Generation module for generating SPARQL template from natural language question. SPARQL template follows 'templator' module made by christina unger. Function 1. Translate natural language question to declarative sentence by rules. 2. Run SRDF module for this declarative sentence. 3. Convert SRDF output to SPARQL template. Scope and Limit Translating NLQ to DS is developed very simple. If translate-sub-module is developed better, the overall performance will be raise. References 1. Sangha Nam, et. al., "SRDF: Korean Open Information Extraction using Singleton Property", ISWC (Poster) 2015.
Maintainer	nam.sangha@gmail.com
Source-code URL	https://github.com/sanghanam/sentgm
Homepage URL
Web service URL	http://ws.okbqa.org:1666/sentgm
Sample cURL command	curl -H "Content-Type: application/json" -X POST -d '_sample_input_' _ws_url_ Test
Sample input	{ "string": "서울에 있는 산은 무엇인가?", "language": "ko" }
Sample output	{ "score": 1, "slots": [ { "p": "is", "s": "v2", "o": "<http://lodqa.org/vocabulary/sort_of>" }, { "p": "is", "s": "v3", "o": "rdf:Class" }, { "p": "verbalization", "s": "v3", "o": "산" }, { "p": "is", "s": "v4", "o": "rdf:Property" }, { "p": "verbalization", "s": "v4", "o": "있" }, { "p": "is", "s": "v5", "o": "rdf:Resource\|rdfs:Literal" }, { "p": "verbalization", "s": "v5", "o": "서울" } ], "question": "서울에 있는 산은 무엇인가?", "query": "SELECT v1 WHERE { ?v1 ?v2 ?v3 . ?v1 ?v4 ?v5 . } " }