Socially-enriched semantic mashup of web APIs

Jooik Jung, Kyong Ho Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

As Web mashups are becoming one of the salient tools for providing composite services that satisfy users' requests, there have been many endeavors to enhance the process of recommending the most adequate mashup to users. However, previous approaches show numerous pitfalls such as the problem of cold-start, and the lack of utilization of social information as well as functional properties of Web APIs and mashups. All these factors undoubtedly hinder the proliferation of mashup users as locating the most appropriate mashup becomes a cumbersome task. In order to resolve the issues, we propose an efficient method of recommending mashups based on the functional and social features of Web APIs. Specifically, the proposed method utilizes the social and functional relationships among Web APIs to produce and recommend the chains of candidate mashups. Experimental results with a real world data set show a precision of 86.9% and a recall of 75.2% on average, which validates that the proposed method performs more efficiently for various kinds of user requests as compared to a previous work.

Original languageEnglish
Title of host publicationService-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings
Pages389-403
Number of pages15
DOIs
Publication statusPublished - 2012 Nov 9
Event10th International Conference on Service-Oriented Computing, ICSOC 2012 - Shanghai, China
Duration: 2012 Nov 122012 Nov 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7636 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Service-Oriented Computing, ICSOC 2012
CountryChina
CityShanghai
Period12/11/1212/11/15

Fingerprint

Application programming interfaces (API)
Semantics
Functional Relationship
Proliferation
Resolve
Composite
Composite materials
Experimental Results

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Jung, J., & Lee, K. H. (2012). Socially-enriched semantic mashup of web APIs. In Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings (pp. 389-403). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7636 LNCS). https://doi.org/10.1007/978-3-642-34321-6-26
Jung, Jooik ; Lee, Kyong Ho. / Socially-enriched semantic mashup of web APIs. Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings. 2012. pp. 389-403 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{c959f151357d4742a57f22d39f93b8d2,
title = "Socially-enriched semantic mashup of web APIs",
abstract = "As Web mashups are becoming one of the salient tools for providing composite services that satisfy users' requests, there have been many endeavors to enhance the process of recommending the most adequate mashup to users. However, previous approaches show numerous pitfalls such as the problem of cold-start, and the lack of utilization of social information as well as functional properties of Web APIs and mashups. All these factors undoubtedly hinder the proliferation of mashup users as locating the most appropriate mashup becomes a cumbersome task. In order to resolve the issues, we propose an efficient method of recommending mashups based on the functional and social features of Web APIs. Specifically, the proposed method utilizes the social and functional relationships among Web APIs to produce and recommend the chains of candidate mashups. Experimental results with a real world data set show a precision of 86.9{\%} and a recall of 75.2{\%} on average, which validates that the proposed method performs more efficiently for various kinds of user requests as compared to a previous work.",
author = "Jooik Jung and Lee, {Kyong Ho}",
year = "2012",
month = "11",
day = "9",
doi = "10.1007/978-3-642-34321-6-26",
language = "English",
isbn = "9783642343209",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "389--403",
booktitle = "Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings",

}

Jung, J & Lee, KH 2012, Socially-enriched semantic mashup of web APIs. in Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7636 LNCS, pp. 389-403, 10th International Conference on Service-Oriented Computing, ICSOC 2012, Shanghai, China, 12/11/12. https://doi.org/10.1007/978-3-642-34321-6-26

Socially-enriched semantic mashup of web APIs. / Jung, Jooik; Lee, Kyong Ho.

Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings. 2012. p. 389-403 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7636 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Socially-enriched semantic mashup of web APIs

AU - Jung, Jooik

AU - Lee, Kyong Ho

PY - 2012/11/9

Y1 - 2012/11/9

N2 - As Web mashups are becoming one of the salient tools for providing composite services that satisfy users' requests, there have been many endeavors to enhance the process of recommending the most adequate mashup to users. However, previous approaches show numerous pitfalls such as the problem of cold-start, and the lack of utilization of social information as well as functional properties of Web APIs and mashups. All these factors undoubtedly hinder the proliferation of mashup users as locating the most appropriate mashup becomes a cumbersome task. In order to resolve the issues, we propose an efficient method of recommending mashups based on the functional and social features of Web APIs. Specifically, the proposed method utilizes the social and functional relationships among Web APIs to produce and recommend the chains of candidate mashups. Experimental results with a real world data set show a precision of 86.9% and a recall of 75.2% on average, which validates that the proposed method performs more efficiently for various kinds of user requests as compared to a previous work.

AB - As Web mashups are becoming one of the salient tools for providing composite services that satisfy users' requests, there have been many endeavors to enhance the process of recommending the most adequate mashup to users. However, previous approaches show numerous pitfalls such as the problem of cold-start, and the lack of utilization of social information as well as functional properties of Web APIs and mashups. All these factors undoubtedly hinder the proliferation of mashup users as locating the most appropriate mashup becomes a cumbersome task. In order to resolve the issues, we propose an efficient method of recommending mashups based on the functional and social features of Web APIs. Specifically, the proposed method utilizes the social and functional relationships among Web APIs to produce and recommend the chains of candidate mashups. Experimental results with a real world data set show a precision of 86.9% and a recall of 75.2% on average, which validates that the proposed method performs more efficiently for various kinds of user requests as compared to a previous work.

UR - http://www.scopus.com/inward/record.url?scp=84868343375&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84868343375&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-34321-6-26

DO - 10.1007/978-3-642-34321-6-26

M3 - Conference contribution

SN - 9783642343209

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 389

EP - 403

BT - Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings

ER -

Jung J, Lee KH. Socially-enriched semantic mashup of web APIs. In Service-Oriented Computing - 10th International Conference, ICSOC 2012, Proceedings. 2012. p. 389-403. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-34321-6-26