We present a system for Question Answering which computes a prospective answer from Logical Forms produced by a full-fledged NLP for text understanding, and then maps the result onto schemata in SPARQL to be used for accessing the Semantic Web. As an intermediate step, and whenever there are complex concepts to be mapped, the system looks for a corresponding amalgam in YAGO classes. It is just by the internal structure of the Logical Form that we are able to produce a suitable and meaningful context for concept disambiguation. Logical Forms are the final output of a complex system for text understanding - GETARUNS - which can deal with different levels of syntactic and semantic ambiguity in the generation of a final structure, by accessing ...
The Linked Data initiative comprises struc-tured databases in the Semantic-Web data model RDF. Explo...
We present an implemented approach to transform natu-ral language sentences into SPARQL, using backg...
The Linked Data initiative comprises structured databases in the Semantic-Web data model RDF. Explor...
We present a system for Question Answering which computes a prospective answer from Logical Forms pr...
We present a system for Question Answering which computes a prospective answer from Logical Forms pr...
We present a system for Question Answering which computes a prospective answer from Logical Forms (h...
Extracting information from complaints, either scraped from the Web or received directly from the cl...
Exploratory search is about browsing and understanding an information base. It requires a more inter...
Linked Data knowledge bases are valuable sources of knowledge which give insights, reveal facts abou...
Hakimov S, Jebbara S, Cimiano P. AMUSE: Multilingual Semantic Parsing for Question Answering over Li...
Ngonga Ngomo A-C, Bühmann L, Unger C, Lehmann J, Gerber D. Sorry, I don't speak SPARQL – Translating...
This paper presents with examples some queries made on data sets using SPARQL. We treat the problem ...
The Linked Data initiative comprises struc-tured databases in the Semantic-Web data model RDF. Explo...
We present an implemented approach to transform natu-ral language sentences into SPARQL, using backg...
The Linked Data initiative comprises structured databases in the Semantic-Web data model RDF. Explor...
We present a system for Question Answering which computes a prospective answer from Logical Forms pr...
We present a system for Question Answering which computes a prospective answer from Logical Forms pr...
We present a system for Question Answering which computes a prospective answer from Logical Forms (h...
Extracting information from complaints, either scraped from the Web or received directly from the cl...
Exploratory search is about browsing and understanding an information base. It requires a more inter...
Linked Data knowledge bases are valuable sources of knowledge which give insights, reveal facts abou...
Hakimov S, Jebbara S, Cimiano P. AMUSE: Multilingual Semantic Parsing for Question Answering over Li...
Ngonga Ngomo A-C, Bühmann L, Unger C, Lehmann J, Gerber D. Sorry, I don't speak SPARQL – Translating...
This paper presents with examples some queries made on data sets using SPARQL. We treat the problem ...
The Linked Data initiative comprises struc-tured databases in the Semantic-Web data model RDF. Explo...
We present an implemented approach to transform natu-ral language sentences into SPARQL, using backg...
The Linked Data initiative comprises structured databases in the Semantic-Web data model RDF. Explor...