The paper argues for the use of general and intuitive knowledge representation languages for indexing the content of Web documents and representing knowledge within them. We believe these languages have advantages over metadata languages based on the Extensible Markup Language (XML). Indeed, the representation and retrieval of precise information is better supported by languages designed to rep...

This paper suggests some goals for knowledge representation for natural language processing: natural form, conceptual completeness, structure sharing. To address these goals, an augmentation to the representation of variables so that variables are not atomic terms is suggested. This leads to an extended, more \natural" representation language whose use and representations are consistent with th...

Generally, ontology learning and population is applied as a semi-automatic approach to knowledge acquisition in natural language understanding systems. That means, after the ontology is created or populated, an expert of the domain can still change or refine the newly acquired knowledge. In an incremental ontology learning and population framework (as e.g. applied in open-domain dialog systems)...

We present new results of our research on integration of ontologies created automatically by means of Human Language Technologies. The research is related to OLE (Ontology LEarning) – a project aimed at bottom-up generation and merging of ontologies. It utilises a proposal of expressive uncertain knowledge representation framework called ANUIC (Adaptive Net of Universally Interrelated Concepts)...

The paper presents the syntax and semantics of an action language ALM. The language is used for representation of knowledge about dynamic systems. It extends action language AL by allowing definitions of new objects (actions and fluents) in terms of other, previously defined, objects. This, together with the modular structure of the new language leads to more elegant and concise representations...

Introduction, the underlying purpose of this article is to introduce a new paradigm in the discipline of engineering human knowledge. The new paradigm is divided into four domains of knowledge representation: 1 The four prime domains of knowledge. © 2 That all human knowledge has at root a language to communicate the knowledge. © 3 Language representation; that the smallest unit of knowledge is...

In this paper, the authors advocate in favor of using an interlingua for representing the knowledge contained in text documents. The advocated interlingua, UNL, was designed by the United Nations University to support a language independent textual representation to overcome linguistic barriers in Internet. This paper describes the main features of UNL and presents the application of this inter...

The field of AI is strewn with knowledge representation languages. The language designer typically has one particular application domain in mind: as subsequent types of applications are tried, what had originally been US&II j2urure.y become undesirable limitations, and the language is overhauled or scrapped. One remedy to this bleak cycle might be to construct a representational scheme whose do...

We present a unified representational framework LSeN (Language to Semantic Network) for representing syntactic-semantic knowledge extracted from natural language (e.g. English) texts. Our representation is a variant of the standard semantic networks with some important distinctive features that facilitate bridging the interface between syntactic and semantic knowledge using automatic computatio...