Paper Title:
An Ontology Learning Method Based on Document Clustering
  Abstract

Ontology learning is a series method and technology of semi-automatic ontology construction, which uses various data sources to create or expand in-built ontology by semi-automatic method to build a new ontology. Existing ontology construction methods are to collect a large number of conceptual terms based on a large number of field text and background corpus, and then to select field concepts to construct a body. The proposed Cluster-Merge algorithm is to use k-means clustering algorithm in the field document at first, then according to document clustering results to construct body by themself, at last accoring to the ontology similarity for ontology merging to get final output ontology. The experiment may prove that Cluster-Merge algorithm can improve the body resulting recall and precision.

  Info
Periodical
Chapter
Chapter 4: Mechatronics and Information
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
1911-1915
DOI
10.4028/www.scientific.net/AMM.121-126.1911
Citation
X. M. Wei, "An Ontology Learning Method Based on Document Clustering", Applied Mechanics and Materials, Vols. 121-126, pp. 1911-1915, 2012
Online since
October 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Dong Wang, Shi Huan Xiong
Chapter 8: Nanomaterials and Nanomanufacturing
Abstract:The learning sequence is an important factor of affecting the study effect about incremental Bayesian classifier. Reasonable learning...
1455
Authors: Rui Ni Li, Xiao Yi Wang, Zai Wen Liu, Ji Ping Xu, Ling Bin Wang
Chapter 4: Waste Disposal and Recycling
Abstract:Various unusual conditions are likely to occur during sewage treatment process, which would lead to some consequences such as the decrease of...
622
Authors: Markus Brandmeier, Franziska Schäfer, Sven Kreitlein, Jörg Franke
Chapter 1: Energy Efficiency as an Element of a Strategy for Sustainable Production
Abstract:Energy efficiency of production systems and of the product itself has grown to a critical competitive factor. Besides the manufacturer’s...
53
Authors: Beate Naser, Franziska Schäfer, Jörg Franke
Chapter 2: Intelligent Home Automation
Abstract:By increasing the share of renewable energy sources, the volatility of available energy is rising. More and more fluctuating power generation...
124