GHSOM-based web Service discovery

Florie Ismaili; Bogdan Shishedjiev; Xhemal Zenuni; Bujar Raufi

GHSOM-based web Service discovery

Florie Ismaili, Bogdan Shishedjiev, Xhemal Zenuni, Bujar Raufi

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

Abstract

The increasing number of available web services necessitates new ways for efficient Web service discovery. In this paper we follow up our previous work of proposing new framework for efficient web service discovery by combining the growing hierarchical self-organizing map (GHSOM), a powerful data mining technique for the clustering and visualization of large and complex data sets with Latent semantic Indexing. This framework supports web service discovery and service ranking by giving an ordered list of relevant services which helps users to make better decisions in selecting the right Web Service for reuse. A prototype system implementation is provided to show the validity of this framework. In order to achieve this, the system uses and extends existing web service tools.

Original language	English
Title of host publication	Proceedings of the 4th European Computing Conference, ECC '10
Pages	207-211
Number of pages	5
Publication status	Published - 2010
Externally published	Yes
Event	4th European Computing Conference, ECC '10 - Bucharest, Romania Duration: 20 Apr 2010 → 22 Apr 2010

Publication series

Name	Proceedings of the 4th European Computing Conference, ECC '10

Conference

Conference	4th European Computing Conference, ECC '10
Country/Territory	Romania
City	Bucharest
Period	20/04/10 → 22/04/10

Keywords

Data mining
Growing hierarchical self-organizing (GHSOM)
Latent semantic Indexing
Service ranking
Web service discovery
Web services

Cite this

@inproceedings{66d20b0987734fca98b06463749924a6,

title = "GHSOM-based web Service discovery",

abstract = "The increasing number of available web services necessitates new ways for efficient Web service discovery. In this paper we follow up our previous work of proposing new framework for efficient web service discovery by combining the growing hierarchical self-organizing map (GHSOM), a powerful data mining technique for the clustering and visualization of large and complex data sets with Latent semantic Indexing. This framework supports web service discovery and service ranking by giving an ordered list of relevant services which helps users to make better decisions in selecting the right Web Service for reuse. A prototype system implementation is provided to show the validity of this framework. In order to achieve this, the system uses and extends existing web service tools.",

keywords = "Data mining, Growing hierarchical self-organizing (GHSOM), Latent semantic Indexing, Service ranking, Web service discovery, Web services",

author = "Florie Ismaili and Bogdan Shishedjiev and Xhemal Zenuni and Bujar Raufi",

year = "2010",

language = "English",

isbn = "9789604741786",

series = "Proceedings of the 4th European Computing Conference, ECC '10",

pages = "207--211",

booktitle = "Proceedings of the 4th European Computing Conference, ECC '10",

note = "4th European Computing Conference, ECC '10 ; Conference date: 20-04-2010 Through 22-04-2010",

}

TY - GEN

T1 - GHSOM-based web Service discovery

AU - Ismaili, Florie

AU - Shishedjiev, Bogdan

AU - Zenuni, Xhemal

AU - Raufi, Bujar

PY - 2010

Y1 - 2010

N2 - The increasing number of available web services necessitates new ways for efficient Web service discovery. In this paper we follow up our previous work of proposing new framework for efficient web service discovery by combining the growing hierarchical self-organizing map (GHSOM), a powerful data mining technique for the clustering and visualization of large and complex data sets with Latent semantic Indexing. This framework supports web service discovery and service ranking by giving an ordered list of relevant services which helps users to make better decisions in selecting the right Web Service for reuse. A prototype system implementation is provided to show the validity of this framework. In order to achieve this, the system uses and extends existing web service tools.

AB - The increasing number of available web services necessitates new ways for efficient Web service discovery. In this paper we follow up our previous work of proposing new framework for efficient web service discovery by combining the growing hierarchical self-organizing map (GHSOM), a powerful data mining technique for the clustering and visualization of large and complex data sets with Latent semantic Indexing. This framework supports web service discovery and service ranking by giving an ordered list of relevant services which helps users to make better decisions in selecting the right Web Service for reuse. A prototype system implementation is provided to show the validity of this framework. In order to achieve this, the system uses and extends existing web service tools.

KW - Data mining

KW - Growing hierarchical self-organizing (GHSOM)

KW - Latent semantic Indexing

KW - Service ranking

KW - Web service discovery

KW - Web services

UR - https://www.scopus.com/pages/publications/79952649927

M3 - Conference contribution

AN - SCOPUS:79952649927

SN - 9789604741786

T3 - Proceedings of the 4th European Computing Conference, ECC '10

SP - 207

EP - 211

BT - Proceedings of the 4th European Computing Conference, ECC '10

T2 - 4th European Computing Conference, ECC '10

Y2 - 20 April 2010 through 22 April 2010

ER -

GHSOM-based web Service discovery

Abstract

Publication series

Conference

Keywords

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