This paper investigates whether and how natural language processing and data mining techniques can be utilized for locating desired knowledge in a large text collection. This task amounts to finding cue words and phrases indicating the location of knowledge, where the challenge is to establish a methodology that can cope with the diversity of expressions. We examine the feasibility of mining cu...

DxTer (pronounced “dexter”) is a tool for generating high-performance program implementations of an input dataflow graph. Given a specification S of a program in some domain D, DxTer uses its knowledge base for D to explore a space of implementations of S and outputs an optimal implementation with respect to the cost model in D. While DxTer search spaces can be massive (e.g., 10), this paper de...

Mining Information and Knowledge patterns from large databases have been recognized by many researchers as key research topic in database systems, Knowledgebase systems and in Information providing services. Clustering analysis method is one of the main analytical methods in data mining; the method of clustering algorithm will influence the clustering results

In this work the topic of applying clustering as a knowledge extraction method from real-world data is discussed. The authors propose hierarchical clustering method and visualization technique for knowledge base representation in the context of medical knowledge bases for which data mining techniques are successfully employed and may resolve different problems. What is more, the authors analyze...

In order to reduce the complexity of large knowledge-based systems and promote reusability, means for decomposing them to smaller chunks are required. MIKE, our knowledge engineering framework, provides three basic means for structuring which are described in this paper: different kinds of knowledge are separated at different knowledge layers, knowledge layers can be structured by modules, and ...

Code lists are a key part of budget datasets as they serve for the coding of fiscal concepts within them. However, the great diversity of classifications across countries and concepts does not allow to presume upon their actual value, as dimension properties. In this paper we discuss the need for creating code lists Linked Data for the classifications used in fiscal datasets, in three basic ste...

We deal with dynamic information organization for more efficient Internet browsing. As the appropriate algorithm for this purpose, we propose modified ART (artificial resonance theory) algorithm, which functions similarly with the dynamic Star-clustering algorithm but performs a more efficient time complexity of O(nk), (k << n) instead of O(n2log2n) found in the dynamic Star-clustering algorith...

This study focuses on the investigation of the influence of human factors on the profit manipulation. Literature review indicated that although earning management and profit manipulation has been discussed in previous study, little study has done in the investigation of the influence of human factors. To address this issue, this study has developed a new analysis model based on the Data Envelop...

Ontology has recently received considerable attention in the knowledge management community. This article discusses the needs of ontology development for data mining. Based on a domain analysis of knowledge representations in data mining, it proposes a generic structure of ontologies for data mining. Furthermore, this article specifies the unique ontology resources of the subdomain of innovativ...