Interacting with Ontologies and Linked Data through Controlled Natural Languages and Dialogues
نویسندگان
چکیده
This paper describes a suite of tools developed at the University of Leeds which aim to make it easier for domain experts to be involved in the creation and use of ontologies. The paper summarises the main features of the tools and gives a short summary of our evaluations and experiences using the tools with domain experts. 1 Expressing Knowledge through a Controlled Natural Language At the core of our suite of tools for supporting domain experts when using ontologies is the use of a Controlled Natural Language (CNL) as the main way to express knowledge in a way that: • is easy to understand and write by domain experts and • can be automatically translated into a logical form, in particular an ontology language We have adopted Rabbit, a CNL designed by the Ordnance Survey – the mapping agency of Great Britain – to enable domain experts (e.g. cartographers) to contribute to the development of ontologies for describing the Ordnance Survey’s topographic data [7]. Although inspired by the topographical domain, Rabbit has been designed to be domain independent. The language is designed to be directly mappable to OWL, the web ontology language.
منابع مشابه
بررسی هستان شناسی های توسعه یافته مبتنی بر اصول هستان شناسی های منبع باز زیست پزشکی
Background and Aim: Ontologies facilitate data integration, exchange, searching and querying. Open Biomedical Ontologies (OBO) Foundry is a solution for creating reference ontologies. In this foundry, the design of ontologies is based on established principles which allow for their interactions as a single system. The purpose of this study is to determine the main features of ontologies develop...
متن کاملImproving habitability of natural language interfaces for querying ontologies with feedback and clarification dialogues
Natural Language Interfaces (NLIs) are a viable, human-readable alternative to complex, formal query languages like SPARQL, which are typically used for accessing semantically structured data (e.g. RDF and OWL repositories). However, in order to cope with natural language ambiguities, NLIs typically support a more restricted language. A major challenge when designing such restricted languages i...
متن کاملIntuitive ontology authoring using controlled natural language
Ontologies have been proposed and studied in the last couple of decades as a way to capture and share people’s knowledge about the world in a way that is processable by computer systems. Ontologies have the potential to serve as a bridge between the human conceptual understanding of the world and the data produced, processed and stored in computer systems. However, ontologies so far have failed...
متن کاملTowards Portable Controlled Natural Languages for Querying Ontologies
Natural Language Interfaces (NLIs) to structured data allow users to interact with a system using written or spoken language to perform tasks that require knowledge of a formal language. Due to natural language complexity and ambiguity, such interfaces usually support a Controlled Natural Language (CNL): a subset of a natural language that includes certain vocabulary and grammar rules that have...
متن کاملMatching Natural Language Data on Ontologies
Ontologies and natural languages are complementary. Whereas ontologies are used to model knowledge formally, natural language is primarily used by users to communicate with ontology based systems. In order to transform information or queries in natural language into valid ontological expressions, the meaning of natural language entities have to be matched with the given ontologies. In contrast ...
متن کامل