Titlebook: Research and Development in Intelligent Systems XXII; Proceedingas of AI-2 Max Bramer,Frans Coenen,Tony Allen Conference proceedings 2006 S

Campaign

箴言

Reusing JessTab Rules in Protégérotégé ontology and knowledge base. However once JessTab rules have been created for a knowledge base, they are explicitly tied to it as they name particular classes and slots, which greatly hinders their reuse with further knowledge bases. We have developed a two phase process and a supporting tool

性學(xué)院

Robot Docking Based on Omnidirectional Vision and Reinforcement Learningtem enables a PeopleBot robot to locate and approach a table so that it can pick an object from it using the pan-tilt camera mounted on the robot. We use a staged approach to solve this problem as there are distinct sub tasks and different sensors used. Starting with random wandering of the robot un

安慰

土產(chǎn)

Tracking Drifting Concepts by Time Window Optimisationd regularly to include the new data. In this case we can face the problem that the concept changes over time. Hence the old data become irrelevant to the current concept and have to be removed from the training dataset. This problem is known in the area of machine learning as concept drift. We devel

FISC

Hierarchical knowledge-oriented specification for information integration namely Knowledge Oriented Specification, to represent and to query data sources without having to align their background knowledge. Secondly, we propose a structured knowledge representation formalism, namely Layered Conceptual Graphs, which present the data at different levels of detail. We explai

Adornment

The Semantic Web as a , Resource: Opportunities for Natural Language Generationents than theory would have us believe. We present evidence that natural language words are used extensively and in complex ways in current ontologies. This leads to a number of dangers for the semantic web, but also opens up interesting new challenges for natural language processing. This is illust

高調(diào)

A Distributed CBR Framework through Semantic Web Servicesoftware Engineering techniques with a knowledge level description that separates the reasoning methods from the domain model. In this paper we present the evolution of the framework towards a Semantic Web Services (SWS) architecture where problem solving methods are represented as Web Services. In o

的闡明

Using simple ontologies to build personal Webs of knowledgeof retrieved documents (most of them irrelevant) are flooding Web users who are unable to control and validate them against their queries. Although structuring Web documents is currently the most acceptable solution to the problem, it seems that the problems of a) “thousands of documents returned fo

GRAZE

Modeling Navigation Patterns of Visitors of Unstructured Websitesweb logs that are enriched with 3 sorts of information: (1) content type of visited pages, (2) visitor type, and (3) location of the visitor. We developed an intelligent Text Mining system, iTM, which supports the process of classifying web pages into a number of pre-defined categories. With help of