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@article{ART001798210},
author={SAJOON PARK},
title={Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2013},
volume={8},
number={4},
pages={37-42}

TY - JOUR
AU - SAJOON PARK
TI - Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set
JO - Journal of Knowledge Information Technology and Systems
PY - 2013
VL - 8
IS - 4
PB - Korea Knowledge Information Technology Society
SP - 37
EP - 42
SN - 1975-7700
AB - It is inconvenient that users retrieve information from documents efficiently and precisely. Clustering documents is a function for efficient information retrieval from massive document set. In this paper, we use meaning particle unit rather than document unit for document retrieval. We present a method with using an ontology that makes a document into paragraphs based on meaning flow. As the process of classification is done based on meaning paragraph, it is possible to achieve meaning-based clustering. The processing unit of clustering is shrunk from a document to a paragraph. Therefore, paragraph-based retrieval makes it possible for user to retrieve information in a document. We performed some experiments by using Reuter-21578 document set and the results showed the performance of meaning-flow based clustering was better than the performance of documents-based clustering.
KW - Clustering;Meaning-Flow;K-Means;Retrieval;Paragraph
DO -
UR -
ER -

SAJOON PARK. (2013). Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set. Journal of Knowledge Information Technology and Systems, 8(4), 37-42.

SAJOON PARK. 2013, "Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set", Journal of Knowledge Information Technology and Systems, vol.8, no.4 pp.37-42.

SAJOON PARK "Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set" Journal of Knowledge Information Technology and Systems 8.4 pp.37-42 (2013) : 37.

SAJOON PARK. Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set. 2013; 8(4), 37-42.

SAJOON PARK. "Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set" Journal of Knowledge Information Technology and Systems 8, no.4 (2013) : 37-42.

SAJOON PARK. Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set. Journal of Knowledge Information Technology and Systems, 8(4), 37-42.

SAJOON PARK. Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set. Journal of Knowledge Information Technology and Systems. 2013; 8(4) 37-42.

SAJOON PARK. Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set. 2013; 8(4), 37-42.

SAJOON PARK. "Meaning-Flow Based Clustering for Document Retrieval in a Large Document Set" Journal of Knowledge Information Technology and Systems 8, no.4 (2013) : 37-42.