A layered controlled natural language for knowledge representation

Controlled Language for Knowledge Representation

Current expert systems represent knowledge in several different forms. In most cases, there is an object or inheritance hierarchy representing static facts about the objects, actions, or events in the domain of application, and the important relationships between them. Other types of knowledge are represented in the form of rules, usually conditionals saying what action should be performed if s...

NKRL, a Knowledge Representation Language for Narrative Natural Language Processing

NKRL is a conceptual language which intends to provide a normalised, pragmatic description of the semantic contents (in short, the "meaning") of NL narrative documents. We introduce firstly the general architecture of NKRL, and we give some examples of its characteristic features. We supply, afterward, some sketchy information about the inference techniques and the NLP procedures associated wit...

Natural Language and Knowledge Representation

Controlled Natural Languages for Knowledge Representation

This paper presents a survey of research in controlled natural languages that can be used as high-level knowledge representation languages. Over the past 10 years or so, a number of machine-oriented controlled natural languages have emerged that can be used as high-level interface languages to various kinds of knowledge systems. These languages are relevant to the area of computational linguist...

ANALOG: A Knowledge Representation System for Natural Language Processing

The general task of work in knowledge representation and reasoning (KRR) is, trivially, the representation of knowledge. The domain for which the representation task has been undertaken is, often, secondary to the description of the overall task as an exercise in knowledge representation. Thus, the task of representing and using mathematical, common sense, visual, language-based, and logical kn...