Automatic web API composition for semantic data mashups

Yong Ju Lee; Jae Soo Kim

doi:10.1109/CICN.2012.56

Automatic web API composition for semantic data mashups

Yong Ju Lee, Jae Soo Kim

Research output: Contribution to conference › Paper › peer-review

12 Scopus citations

Abstract

Data mashups enable users to create new applications by combining Web APIs from several data sources. Although data mashups have become very popular over the last few years, there are several challenging issues when combining Web APIs into data mashups, especially when compatible APIs are manually discovered and composed by mash up developers. In this paper, we propose an approach for automatic discovery and composition of Web APIs using their semantic descriptions. This approach can be described as that of generating directed a cyclic graphs (DAGs) that can produce output satisfying a desired goal. We rapidly filter out APIs that are guaranteed not to involve the composition in order to produce the DAGs efficiently.

Original language	English
Pages	953-957
Number of pages	5
DOIs	https://doi.org/10.1109/CICN.2012.56
State	Published - 2012
Event	4th International Conference on Computational Intelligence and Communication Networks, CICN 2012 - Mathura, Uttar Pradesh, India Duration: 3 Nov 2012 → 5 Nov 2012

Conference

Conference	4th International Conference on Computational Intelligence and Communication Networks, CICN 2012
Country/Territory	India
City	Mathura, Uttar Pradesh
Period	3/11/12 → 5/11/12

Keywords

composition
data mashup
discovery
graph-based composition algorithm
semantic matching method
Web API

Access to Document

10.1109/CICN.2012.56

Cite this

@conference{c2f19beee43e412d913cae04983e0425,

title = "Automatic web API composition for semantic data mashups",

abstract = "Data mashups enable users to create new applications by combining Web APIs from several data sources. Although data mashups have become very popular over the last few years, there are several challenging issues when combining Web APIs into data mashups, especially when compatible APIs are manually discovered and composed by mash up developers. In this paper, we propose an approach for automatic discovery and composition of Web APIs using their semantic descriptions. This approach can be described as that of generating directed a cyclic graphs (DAGs) that can produce output satisfying a desired goal. We rapidly filter out APIs that are guaranteed not to involve the composition in order to produce the DAGs efficiently.",

keywords = "composition, data mashup, discovery, graph-based composition algorithm, semantic matching method, Web API",

author = "Lee, {Yong Ju} and Kim, {Jae Soo}",

year = "2012",

doi = "10.1109/CICN.2012.56",

language = "English",

pages = "953--957",

note = "4th International Conference on Computational Intelligence and Communication Networks, CICN 2012 ; Conference date: 03-11-2012 Through 05-11-2012",

}

TY - CONF

T1 - Automatic web API composition for semantic data mashups

AU - Lee, Yong Ju

AU - Kim, Jae Soo

PY - 2012

Y1 - 2012

N2 - Data mashups enable users to create new applications by combining Web APIs from several data sources. Although data mashups have become very popular over the last few years, there are several challenging issues when combining Web APIs into data mashups, especially when compatible APIs are manually discovered and composed by mash up developers. In this paper, we propose an approach for automatic discovery and composition of Web APIs using their semantic descriptions. This approach can be described as that of generating directed a cyclic graphs (DAGs) that can produce output satisfying a desired goal. We rapidly filter out APIs that are guaranteed not to involve the composition in order to produce the DAGs efficiently.

AB - Data mashups enable users to create new applications by combining Web APIs from several data sources. Although data mashups have become very popular over the last few years, there are several challenging issues when combining Web APIs into data mashups, especially when compatible APIs are manually discovered and composed by mash up developers. In this paper, we propose an approach for automatic discovery and composition of Web APIs using their semantic descriptions. This approach can be described as that of generating directed a cyclic graphs (DAGs) that can produce output satisfying a desired goal. We rapidly filter out APIs that are guaranteed not to involve the composition in order to produce the DAGs efficiently.

KW - composition

KW - data mashup

KW - discovery

KW - graph-based composition algorithm

KW - semantic matching method

KW - Web API

UR - http://www.scopus.com/inward/record.url?scp=84872017896&partnerID=8YFLogxK

U2 - 10.1109/CICN.2012.56

DO - 10.1109/CICN.2012.56

M3 - Paper

AN - SCOPUS:84872017896

SP - 953

EP - 957

T2 - 4th International Conference on Computational Intelligence and Communication Networks, CICN 2012

Y2 - 3 November 2012 through 5 November 2012

ER -

Automatic web API composition for semantic data mashups

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this