Extraction of similar XML data based on XML structure and processing unit

PARK JONGHYUN

doi:https://doi.org/10.9708/jksci.2017.22.04.059

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2017, 22(4), pp.59-65
DOI :https://doi.org/10.9708/jksci.2017.22.04.059
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

PARK JONGHYUN ¹

¹ 충남대학교

ABSTRACT

XML has established itself as the format for data exchange on the internet and the volume of its instance is large scale. Therefore, to extract similar information from XML instance is one of research topics but is insufficient. In this paper, we extract similar information from various kind of XML instances according to the same goal. Also we use only the structure information of XML instance for information extraction because some of XML instance is described without its schema. In order to efficiently extract similar information, we propose a minimum unit of processing and two approaches for finding the unit. The one is a structure-based method which uses only the structure information of XML instance and another is a measure-based method which finds a unit by numerical formula. Our two approaches can be applied to any application that needs the extraction of similar information based on XML data. Also the approach can be used for HTML instance.
KEYWORDS

XML mining , Similar XML data , Similar web data , Similar information retrieval
REFERENCES (13)

[confproc] Y. Yamada / 2004 / Testbed for information extraction from deep web / Proc, of WWW 2004 : 346~347

[confproc] S. Hirokawa / 2003 / Semi-Automatic Construction of Metadata from a Series of Web Documents / Proc. Australian Conference on Artificial Intelligence 2003 : 942~953

[confproc] T. Miyahara / 2003 / Extraction of Tag Tree Patterns with Contractible Variables from Irregular Semistructured Data / Proc, of PAKDD 2003 : 430~436

[journal] P. T. Nguyen / 2015 / Finding Similar Artists from the Web of Data: A PageRank Based Semantic Similarity Metric / Proc. of FDSE 2015 : 98~108

[journal] E. Iosif / 2015 / Similarity computation using semantic networks created from web-harvested data / Natural Language Engineering 21 (1) : 49~79

[confproc] H. P. Leung / 2003 / A New Sequential Mining Approach to XML Document Similarity Computation / Proc, of PAKDD 2003 : 356~362

[journal] J. Tekli / 2015 / Approximate XML structure validation based on document-grammar tree similarity / Information Sciences 295 : 258~302

[confproc] R. Periakaruppan / 2013 / A Prufer Sequence Based Approach to Measure Structural Similarity of XML Documents / Proc. Of OTM Workshops 2013 : 639~648

[confproc] C.Y. Wang / 2012 / Structural Similarity Evaluation of XML Documents Based on Basic Statistics / Proc. of WISM 2012 : 698~705

[confproc] S. Flesca / 2002 / Detecting Structural Similarities between XML Documents / Proc. of WebDB 2002 : 55~60

[confproc] J. Manuel / 2016 / SemSynX: Flexible Similarity Analysis of XML Data via Semantic and Syntactic Heterogeneity/Homogeneity Detection / Proc. of HAIS 2016 : 12~26

[journal] 이기영 / 2008 / A Study on the Development of Ontology based on the Jewelry Brand Information / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 13 (7) : 247~256

[journal] S. Akmala / 2014 / Ontology-based similarity for product information retrieval / Computers in Industry 65 (1) : 91~107
KCI Citation (0)

KJC Korea
Journal Central

Statistics

Tools