Integrating Ontological Knowledge for Iterative Causal Discovery and Visualization
نویسندگان
چکیده
(*) Les inscriptions seront possibles à toutes les pauses et durant les déjeuners.
منابع مشابه
Designing an Ontology for Knowledge Discovery in Iran’s Vaccine
Ontology is a requirement engineering product and the key to knowledge discovery. It includes the terminology to describe a set of facts, assumptions, and relations with which the detailed meanings of vocabularies among communities can be determined. This is a qualitative content analysis research. This study has made use of ontology for the first time to discover the knowledge of vaccine in Ir...
متن کاملIntegrating visual analysis with ontological knowledge structure
Most existing visual analytical tools that incorporate knowledge are tailored for specific analytical tasks. Although these tools are useful and powerful, it is often difficult to generalize the approaches utilized in these tools for knowledge incorporation to new problems or domains. In this paper, we propose a method for integrating a visual analytical tool with an ontological knowledge struc...
متن کاملخوشهبندی اسناد مبتنی بر آنتولوژی و رویکرد فازی
Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...
متن کاملConstructing knowledge from multivariate spatiotemporal data: integrating geographical visualization with knowledge discovery in database methods
We present an approach to the process of constructing knowledge through structured exploration of large spatiotemporal data sets. First, we introduce our problem context and de® ne both Geographic Visualization (GVis) and Knowledge Discovery in Databases (KDD), the source domains for methods being integrated. Next, we review and compare recent GVis and KDD developments and consider the potentia...
متن کاملA Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery
This paper presents a methodological view on knowledge-intensive causal subgroup discovery implemented in a semi-automatic approach. We show how to identify causal relations between subgroups by generating an extended causal subgroup network utilizing background knowledge. Using the links within the network we can identify causal relations, but also relations that are potentially confounded and...
متن کامل