An Effective XML Keyword Search with User Search Intention over XML Documents

Mr. Pradeep Kumar Reddy Gade

An Effective XML Keyword Search with User Search Intention over XML Documents

Mr. Pradeep Kumar Reddy Gade * §

Contact

§ Gurunanak Engineering College

An Effective XML Keyword Search with User Search Intention over XML Documents

Article Fingerprint

ReserarchID

CSTW47HY

An Effective XML Keyword Search with User Search Intention over XML Documents Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

The extreme success of web search engines makes keyword search the most popular search model for ordinary users. Keyword search on XML is a user friendly way to query XML databases since it allows users to pose queries without the knowledge of complex query languages and the database schema. The three main challenges faces in XML keyword search: 1) Identify the user search intention, i.e., identify the XML node types that users want to search for and search via. 2) Resolve keyword ambiguity problems: a keyword can appear as both a tag name and a text value of some node; a keyword can appear as the text values of different XML node types and carry different meanings; a keyword can appear as the tag name of different XML node types with different meanings. 3) As the search results are sub trees of the XML documents, new scoring function is needed to estimate its relevance to a given query. However, existing methods cannot resolve these challenges, thus return low result quality in term of query relevance. In this paper, we propose an IR-style approach which basically utilizes the statistics of underlying XML data to address these challenges. We first propose specific guidelines that a search engine should meet in both search intention identification and relevance oriented rankingfor search results over XML documents. Then, based on theseguidelines, we design novel formulae to identify the search fornodes and search via nodes of a query, and present a novelXML TF*IDF ranking strategy to rank the individual matches ofall possible search intentions over XML documents.

References

21 Cites in Article

Reference Format

Sihem Amer-Yahia,Laks Lakshmanan,Shashank Pandit (2004). FleXPath.
David Carmel,Yoelle Maarek,Matan Mandelbrod,Yosi Mass,Aya Soffer (2003). Searching XML documents via XML fragments.
Sara Cohen,Yaron Kanza,Benny Kimelfeld,Yehoshua Sagiv (2005). Interconnection semantics for keyword search in XML.
N Fuhr,K Großjohann (2001). XIRQL: A Query Language for Information Retrieval in XML Documents.
R Jones,B Rey,O Madani,W Greiner (2006). Generating Query Substitutions.
V Kacholia,S Pandit,S Chakrabarti,S Sudarshan,R Desai,H Karambelkar (2005). Bidirectional Expansion for Keyword Search on Graph Databases.
V Hristidis,N Koudas,Y Papakonstantinou,D Srivastava (2006). Keyword Proximity Search in XML Trees.
V Hristidis,Y Papakonstantinou,A Balmin (2003). Keyword Proximity Search on XML Graphs.
Hao He,Haixun Wang,Jun Yang,Philip Yu (2007). BLINKS.
M Ley (2009). Unknown Title.
Guoliang Li,Jianhua Feng,Jianyong Wang,Lizhu Zhou (2007). Effective keyword search for valuable lcas over xml documents.
G Li,B Ooi,J Feng,J Wang,L Zhou (2008). Ease: Efficient and Adaptive Keyword Search on Unstructured, Semi-Structured and Structured Data.
Y Li,C Yu,H Jagadish (2004). Schema-Free XQuery.
Z Liu,Y Chen (2007). Identifying Meaningful Return Information for XML Keyword Search.
Ziyang Liu,Yi Cher (2008). Reasoning and identifying relevant matches for XML keyword search.
G Salton,M Mcgill (1986). Introduction to Modern Information Retrieval.
A Schmidt,M Kersten,M Windhouwer (2001). Querying XML Documents Made Easy: Nearest Concept Queries.
C Sun,C Chan,A Goenka (2007). Multiway SLCA-Based Keyword Search in XML Data.
Anja Theobald,Gerhard Weikum (2002). The Index-Based XXL Search Engine for Querying XML Data with Relevance Ranking.
Yu Xu,Yannis Papakonstantinou (2005). Efficient keyword search for smallest LCAs in XML databases.
Zhifeng Bao,Jiaheng Lu,Tok Ling,Senior Member,Ieee,Bo Chen (2010). Towards an Effective XML Keyword Search.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mr. Gade. . "An Effective XML Keyword Search with User Search Intention over XML Documents". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 16).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 11 Issue 16

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

keyword search ranking XML

Classification

GJCST Classification H.3.3

F.2.2

Submission ReceivedJuly 24, 2011
Peer Review Double Blind
Handling Editor
Accepted August 17, 2011
Published August 30, 2011

Version of record

v1.2

Issue date

September 7, 2011

Language

English

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 141

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Mr. Pradeep Kumar Reddy Gade (PhD/Dr. count: 0)

View Count (all-time): 163

Total Views (Real + Logic): 6982

Total Downloads (simulated): 371

Publish Date: 2011 08, Tue

Monthly Totals (Real + Logic):

Month 1: 57 views
Month 2: 32 views
Month 3: 51 views
Month 4: 37 views
Month 5: 21 views
Month 6: 16 views
Month 7: 40 views
Month 8: 36 views
Month 9: 58 views
Month 10: 27 views
Month 11: 16 views
Month 12: 17 views
Month 13: 31 views
Month 14: 47 views
Month 15: 19 views
Month 16: 16 views
Month 17: 16 views
Month 18: 22 views
Month 19: 39 views
Month 20: 33 views
Month 21: 39 views
Month 22: 22 views
Month 23: 24 views
Month 24: 35 views
Month 25: 24 views
Month 26: 37 views
Month 27: 19 views
Month 28: 45 views
Month 29: 46 views
Month 30: 20 views
Month 31: 36 views
Month 32: 30 views
Month 33: 27 views
Month 34: 12 views
Month 35: 19 views
Month 36: 32 views
Month 37: 43 views
Month 38: 26 views
Month 39: 14 views
Month 40: 34 views
Month 41: 12 views
Month 42: 35 views
Month 43: 14 views
Month 44: 40 views
Month 45: 43 views
Month 46: 41 views
Month 47: 22 views
Month 48: 46 views
Month 49: 20 views
Month 50: 37 views
Month 51: 41 views
Month 52: 30 views
Month 53: 16 views
Month 54: 27 views
Month 55: 26 views
Month 56: 38 views
Month 57: 38 views
Month 58: 21 views
Month 59: 45 views
Month 60: 24 views
Month 61: 20 views
Month 62: 36 views
Month 63: 15 views
Month 64: 20 views
Month 65: 24 views
Month 66: 23 views
Month 67: 44 views
Month 68: 34 views
Month 69: 22 views
Month 70: 30 views
Month 71: 21 views
Month 72: 43 views
Month 73: 30 views
Month 74: 30 views
Month 75: 32 views
Month 76: 43 views
Month 77: 35 views
Month 78: 34 views
Month 79: 14 views
Month 80: 46 views
Month 81: 26 views
Month 82: 33 views
Month 83: 17 views
Month 84: 36 views
Month 85: 41 views
Month 86: 33 views
Month 87: 25 views
Month 88: 37 views
Month 89: 30 views
Month 90: 23 views
Month 91: 31 views
Month 92: 32 views
Month 93: 22 views
Month 94: 18 views
Month 95: 17 views
Month 96: 33 views
Month 97: 41 views
Month 98: 39 views
Month 99: 20 views
Month 100: 28 views
Month 101: 43 views
Month 102: 27 views
Month 103: 32 views
Month 104: 30 views
Month 105: 36 views
Month 106: 17 views
Month 107: 30 views
Month 108: 38 views
Month 109: 24 views
Month 110: 41 views
Month 111: 38 views
Month 112: 17 views
Month 113: 36 views
Month 114: 31 views
Month 115: 41 views
Month 116: 19 views
Month 117: 25 views
Month 118: 36 views
Month 119: 18 views
Month 120: 43 views
Month 121: 26 views
Month 122: 47 views
Month 123: 15 views
Month 124: 29 views
Month 125: 25 views
Month 126: 33 views
Month 127: 44 views
Month 128: 16 views
Month 129: 19 views
Month 130: 43 views
Month 131: 29 views
Month 132: 20 views
Month 133: 28 views
Month 134: 36 views
Month 135: 18 views
Month 136: 23 views
Month 137: 40 views
Month 138: 25 views
Month 139: 21 views
Month 140: 10 views
Month 141: 16 views
Month 142: 46 views
Month 143: 29 views
Month 144: 32 views
Month 145: 39 views
Month 146: 34 views
Month 147: 23 views
Month 148: 24 views
Month 149: 42 views
Month 150: 26 views
Month 151: 31 views
Month 152: 14 views
Month 153: 23 views
Month 154: 30 views
Month 155: 29 views
Month 156: 30 views
Month 157: 36 views
Month 158: 23 views
Month 159: 28 views
Month 160: 35 views
Month 161: 18 views
Month 162: 16 views
Month 163: 30 views
Month 164: 28 views
Month 165: 33 views
Month 166: 36 views
Month 167: 33 views
Month 168: 18 views
Month 169: 32 views
Month 170: 27 views
Month 171: 30 views
Month 172: 41 views
Month 173: 42 views
Month 174: 25 views
Month 175: 22 views
Month 176: 38 views
Month 177: 33 views
Month 178: 23 views
Month 179: 33 views
Month 180: 43 views
Month 181: 39 views

Total Views: 7K

Total Downloads: 371

All Trends