With the development of the Internet of Things (IoT), many kinds of wireless signals (eg, Wi-
Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication …

Machine learning algorithms hold extraordinary promise, but the reality is that their success
depends entirely on the suitability of the data available. This book is about Ripple-Down …

This paper presents a new approach to building legal citation classification systems. Our
approach is based on Ripple-down Rules (RDR), an efficient knowledge acquisition …

Quality and reliability issues are important in development and exploration of rule-based
systems. In the paper a formalized knowledge representation for rules called XTT2 is …

In the early years of knowledge acquisition research there was considerable discussion
about the possibility of obtaining knowledge from experts, based on the ideas of situated …

This paper proposes an MDA approach to knowledge engineering, centered on the
CommonKADS knowledge model. The latter corresponds to the CIM level of MDA whereas …

Although various methods for the evaluation of intelligent systems have been proposed in
the past, almost no techniques are present that support the manual inspection of knowledge …

There are a lot of systems that make decisions or classifications on the basis of a number of
rules. This set of rules that govern such a system is called the rule base. When a new system …

Functional annotation is the process that assigns a biological functionality to a
deoxyribonucleic acid (DNA) sequence. It requires searching in huge data sets for …

Abstract Named Entity Recognition (NER) is important for extracting information from highly
heterogeneous web documents. Most NER systems have been developed based on formal …