Manual semantic annotation is a complex and arduous task both time-consuming and costly often requiring specialist annotators. (Semi)-automatic annotation tools attempt to ease this process by detecting instances of classes within text and relationships between classes, however their usage often requires knowledge of Natural Language Processing(NLP) and/or formal ontological descriptions. This ...

This paper deals with the coupling of AROM, an objectbased knowledge representation with V-STORM, a multimedia presentation system. We propose an AROM knowledge base which constitutes a generic model for multimedia presentations. Notably, by instantiating this knowledge base, a corresponding SMIL file can be exhibited and parsed by V-STORM in order to be played. This coupling shows to be releva...

•radically change the economics of building large knowledge bases •provide a platform for cognitive simulations of larger-scale phenomena •Learning Reader learns by reading simplified language texts •Manages syntactic complexity •Unconstrained vocabulary, unlike controlled languages •Learning Reader combines •Natural language processing •A large-scale knowledge base •Deductive reasoning •Analog...

Ontology is a comprehensive knowledge model which enables the developer to practice a “higher” level of reuse of knowledge. Typically, different modeling languages are employed in different phases of software development of a knowledge-based system. In order to achieve knowledge instead of software reuse, we propose forging a closer mapping between the knowledge and software models in the devel...

\ OX is a Natural Language Processor whose knowledge ran be extended by interaction with a user about these objects. The VOX analyzer uses information obtained in extensibility sessions to analyze novel text. 1.1 EXAMPLES VOX consists of a text analyzer and an extensibility system that share a knowledge base The extensibility system lets the user add vocabulary, concepts, phrases, events, and s...

Introduction A central issue in building knowledgebased systems is making them available to and understandable by naive users. This demonstration shows how a user and a knowledge-based system can collaborate to both create new knowledge and to extract existing knowledge from a knowledge base via natural language. KRAKEN1 is an interface designed for users who have expert knowledge of some field...

The goal of this paper is to show how ideas from lattice theory can be used in the implementation of a knowledge representation language. First, the semantics of a simple knowledge representation language is presented. Then we show how to use Birkhoo's Representation Theorem for Finite Distributive Lattices to build incremen-tally what we call a Birkhoo implementation of a knowledge base by pro...

This paper presents a user interface to the User-Centred Knowledge Model (t-UCK). T-UCK is a knowledge modelling tool for designing knowledge-intensive systems. The model centres round the various users, i.e., both the design users and the end users, and facilitates the use of a conceptual model for handling different types of knowledge, the reasoning strategy and other functionality. For the d...

ion. There is no commitment in KRL as to what sorts of concepts in the domain should be represented at what level of categorization. The specific three types are based on psychological studies (Rosch, 1975; Rosch & Mervis, 1975) that human reasoning makes extensive use of a layered system of categories. The choice of whether a particular prototype (such as Person or Visit) should be basic, abst...

We suggest that it could be possible to come closer to the Semantic Web goals by using ‘semantic annotations’ that enhance the traditional ontology paradigm by supplementing the ontologies of concepts with ‘ontologies of events’. We present then some of the properties of NKRL (Narrative Knowledge Representation Language), a conceptual modeling formalism that makes use of ontologies of events to...