[PDF] Top 20 From Natural Language to Databases via Ontologies

... the language well enough to interpret the input sentences in terms of concepts in the ontology, but it must also know about the organization of the database: it acts as a human expert that supports the user in ... See full document

... complex databases for NLIDB evaluation is ATIS (Air Travel Information Cor- pus) (Hemphill et ...2,886 natural language queries and no corresponding SQL statements, making it unsuitable for a ... See full document

... comes from philosophy and defines fun- damental concepts, relationships and constraints of the problem ...Ontology Language OWL [1], now OWL 2 [2], is the indispensable means for representing human- ... See full document

... through natural language queries making them logically independent from ...called Natural language Interface to ...Efficient Natural Language Query interface to ... See full document

... validation. Natural Language Processing (NLP) techniques have been extensively used to retrieve and extract information from textual sources in order to automatically identify con- cepts, instances, ... See full document

... querying ontologies whose logic they do not ...the Natural Language Interface which can take the Natural Language Queries and mapped them into the SPARQL ...suffer from the ... See full document

... controlled natural language interface to temporal databases, based on translating nat- ural language questions into SQL/Temporal, a temporal database query ... See full document

... Query Language) experts but require information ...for Natural Language Interfaces to Databases (NLIDs) has been identified, with a vast amount of research being undertaken in the ...the ... See full document

... of Natural Language Interfaces has been around for decades, but to date these systems are not in wider popular ...industry from adopting NLIDB systems ...goals from inexperience users to ... See full document

... in databases that is copied from one place to another does not encourage scientists to con- tribute or follow best ...research. Databases and ontologies might not be useful for tax- onomists ... See full document

... interpret natural language queries and to generate the corresponding SQL ...interpret natural language queries, the NLIDB must know the relationship between the natural language ... See full document

... Nowadays, databases (DBs) are the standard technology for storing vast amount of data about a variety of domains and making them available to a larger and larger population of users with scanty, if any, competence ... See full document

... in databases and information ...in natural languages. This is because asking questions using natural language to get results from databases is a very convenient and easy method ... See full document

... Natural Language Interfaces to Databases (NLIs) can benefit from the advances in statis- tical parsing over the last fifteen years or ... See full document

... query from SPARQL query model, we used Acceleo ...Mooney Natural Language Learning Data cre- ated by Ray Mooney and his group from the Univer- sity of Texas at Austin ...Group from ... See full document

... The overall accuracy of the semantic parsing step is 94.50% when measured on a randomly selected set of 10% folkso- nomic tags. We note that the evaluation was not restricted to multiple word tags. Thus, errors ... See full document

... Selecting which items in database answers are added to the context is less straightforward, as no syntactic or semantic information is available concerning a particular answer.. Furtherm[r] ... See full document

... In light of existing restrictions, however, I have chosen a more tractable problem to which I have given some attention and in whose treatment I am interested; this is the translation of[r] ... See full document

... linked via accessor properties. Modern ontologies which employ standards such as RDF and OWL have mostly obeyed this restriction, but have struggled with it ...directly, ontologies must be extended ... See full document

... GF NLQ, and for 10-fold cross validation (GF CRV) for the whole GF NLQ dataset. This result suggests that the number of training examples needed for a higher accuracy may be very high. This is a serious bottleneck, as in ... See full document