Event feature and personality -event - Ontology based for classifying Chinese web pages

Li Wang; Zong Tian Liu; Yan Hua Wang; Rong Sun; H. F. Liu

doi:10.1109/WCSE.2009.874

Event feature and personality -event - Ontology based for classifying Chinese web pages

Li Wang^*, Zong Tian Liu, Yan Hua Wang, Rong Sun, H. F. Liu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In recent years, more and more experts find that events have more semantic means than any other features, such as, characters, terms and concepts. This paper described a method which used event features to classify Chinese web pages talking about personality in SVM classifier. Firstly, we explained how to represent Chinese documents by event features. Secondly, we constructed event ontology about personality information. We called this event ontology as Personality Event Ontology (PEOnt). Finally, an experiment was presented. This experiment showed that our approach results had an improved classification in terms of precision and recall. This improvement, however, come at a cost in a low features vector space's dimensionality due to the event features and event ontology used.

Original language	English
Title of host publication	2nd International Workshop on Computer Science and Engineering, WCSE 2009
Pages	555-557
Number of pages	3
DOIs	https://doi.org/10.1109/WCSE.2009.874
Publication status	Published - 2009
Externally published	Yes
Event	2nd International Workshop on Computer Science and Engineering, WCSE 2009 - Qingdao, China Duration: 28 Oct 2009 → 30 Oct 2009

Publication series

Name	2nd International Workshop on Computer Science and Engineering, WCSE 2009
Volume	2

Conference

Conference	2nd International Workshop on Computer Science and Engineering, WCSE 2009
Country/Territory	China
City	Qingdao
Period	28/10/09 → 30/10/09

Keywords

Document representation
Documents classify
Event
Event ontology

Access to Document

10.1109/WCSE.2009.874

Cite this

Wang, L., Liu, Z. T., Wang, Y. H., Sun, R., & Liu, H. F. (2009). Event feature and personality -event - Ontology based for classifying Chinese web pages. In 2nd International Workshop on Computer Science and Engineering, WCSE 2009 (pp. 555-557). Article 5403210 (2nd International Workshop on Computer Science and Engineering, WCSE 2009; Vol. 2). https://doi.org/10.1109/WCSE.2009.874

@inproceedings{d706f14e52e945b68275618b5d0325ab,

title = "Event feature and personality -event - Ontology based for classifying Chinese web pages",

abstract = "In recent years, more and more experts find that events have more semantic means than any other features, such as, characters, terms and concepts. This paper described a method which used event features to classify Chinese web pages talking about personality in SVM classifier. Firstly, we explained how to represent Chinese documents by event features. Secondly, we constructed event ontology about personality information. We called this event ontology as Personality Event Ontology (PEOnt). Finally, an experiment was presented. This experiment showed that our approach results had an improved classification in terms of precision and recall. This improvement, however, come at a cost in a low features vector space's dimensionality due to the event features and event ontology used.",

keywords = "Document representation, Documents classify, Event, Event ontology",

author = "Li Wang and Liu, {Zong Tian} and Wang, {Yan Hua} and Rong Sun and Liu, {H. F.}",

year = "2009",

doi = "10.1109/WCSE.2009.874",

language = "English",

isbn = "9780769538815",

series = "2nd International Workshop on Computer Science and Engineering, WCSE 2009",

pages = "555--557",

booktitle = "2nd International Workshop on Computer Science and Engineering, WCSE 2009",

note = "2nd International Workshop on Computer Science and Engineering, WCSE 2009 ; Conference date: 28-10-2009 Through 30-10-2009",

}

Wang, L, Liu, ZT, Wang, YH, Sun, R & Liu, HF 2009, Event feature and personality -event - Ontology based for classifying Chinese web pages. in 2nd International Workshop on Computer Science and Engineering, WCSE 2009., 5403210, 2nd International Workshop on Computer Science and Engineering, WCSE 2009, vol. 2, pp. 555-557, 2nd International Workshop on Computer Science and Engineering, WCSE 2009, Qingdao, China, 28/10/09. https://doi.org/10.1109/WCSE.2009.874

Event feature and personality -event - Ontology based for classifying Chinese web pages. / Wang, Li; Liu, Zong Tian; Wang, Yan Hua et al.
2nd International Workshop on Computer Science and Engineering, WCSE 2009. 2009. p. 555-557 5403210 (2nd International Workshop on Computer Science and Engineering, WCSE 2009; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Event feature and personality -event - Ontology based for classifying Chinese web pages

AU - Wang, Li

AU - Liu, Zong Tian

AU - Wang, Yan Hua

AU - Sun, Rong

AU - Liu, H. F.

PY - 2009

Y1 - 2009

N2 - In recent years, more and more experts find that events have more semantic means than any other features, such as, characters, terms and concepts. This paper described a method which used event features to classify Chinese web pages talking about personality in SVM classifier. Firstly, we explained how to represent Chinese documents by event features. Secondly, we constructed event ontology about personality information. We called this event ontology as Personality Event Ontology (PEOnt). Finally, an experiment was presented. This experiment showed that our approach results had an improved classification in terms of precision and recall. This improvement, however, come at a cost in a low features vector space's dimensionality due to the event features and event ontology used.

AB - In recent years, more and more experts find that events have more semantic means than any other features, such as, characters, terms and concepts. This paper described a method which used event features to classify Chinese web pages talking about personality in SVM classifier. Firstly, we explained how to represent Chinese documents by event features. Secondly, we constructed event ontology about personality information. We called this event ontology as Personality Event Ontology (PEOnt). Finally, an experiment was presented. This experiment showed that our approach results had an improved classification in terms of precision and recall. This improvement, however, come at a cost in a low features vector space's dimensionality due to the event features and event ontology used.

KW - Document representation

KW - Documents classify

KW - Event

KW - Event ontology

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U2 - 10.1109/WCSE.2009.874

DO - 10.1109/WCSE.2009.874

M3 - Conference contribution

AN - SCOPUS:77950282900

SN - 9780769538815

T3 - 2nd International Workshop on Computer Science and Engineering, WCSE 2009

SP - 555

EP - 557

BT - 2nd International Workshop on Computer Science and Engineering, WCSE 2009

T2 - 2nd International Workshop on Computer Science and Engineering, WCSE 2009

Y2 - 28 October 2009 through 30 October 2009

ER -

Event feature and personality -event - Ontology based for classifying Chinese web pages

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Keywords

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