A knowledge graph approach to mashup tag recommendation

Benjamin Kwapong; Richard Anarfi; Kenneth K. Fletcher

doi:10.1109/SCC49832.2020.00021

A knowledge graph approach to mashup tag recommendation

Benjamin Kwapong
, Richard Anarfi
, Kenneth K. Fletcher

Computer Science

University of Massachusetts Boston

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

Original language	English
Title of host publication	Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	92-99
Number of pages	8
ISBN (Electronic)	9781728187891
DOIs	https://doi.org/10.1109/SCC49832.2020.00021
State	Published - Nov 2020
Event	13th IEEE International Conference on Services Computing, SCC 2020 - Virtual, Beijing, China Duration: Oct 18 2020 → Oct 24 2020

Publication series

Name	Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020

Conference

Conference	13th IEEE International Conference on Services Computing, SCC 2020
Country/Territory	China
City	Virtual, Beijing
Period	10/18/20 → 10/24/20

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems and Management
Modeling and Simulation

Keywords

Knowledge Graph
Mashups
Recommender Systems
Tag Recommendation
Word2vec

Access to Document

10.1109/SCC49832.2020.00021

Cite this

Kwapong, B., Anarfi, R., & Fletcher, K. K. (2020). A knowledge graph approach to mashup tag recommendation. In Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020 (pp. 92-99). Article 9284509 (Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCC49832.2020.00021

A knowledge graph approach to mashup tag recommendation. / Kwapong, Benjamin; Anarfi, Richard; Fletcher, Kenneth K.
Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 92-99 9284509 (Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020).

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

Kwapong, B, Anarfi, R & Fletcher, KK 2020, A knowledge graph approach to mashup tag recommendation. in Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020., 9284509, Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020, Institute of Electrical and Electronics Engineers Inc., pp. 92-99, 13th IEEE International Conference on Services Computing, SCC 2020, Virtual, Beijing, China, 10/18/20. https://doi.org/10.1109/SCC49832.2020.00021

Kwapong B, Anarfi R, Fletcher KK. A knowledge graph approach to mashup tag recommendation. In Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 92-99. 9284509. (Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020). doi: 10.1109/SCC49832.2020.00021

@inproceedings{7055898d2aaa432d856442ac40aef47d,

title = "A knowledge graph approach to mashup tag recommendation",

keywords = "Knowledge Graph, Mashups, Recommender Systems, Tag Recommendation, Word2vec",

author = "Benjamin Kwapong and Richard Anarfi and Fletcher, \{Kenneth K.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 13th IEEE International Conference on Services Computing, SCC 2020 ; Conference date: 18-10-2020 Through 24-10-2020",

year = "2020",

month = nov,

doi = "10.1109/SCC49832.2020.00021",

language = "English",

series = "Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020",

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KW - Mashups

KW - Recommender Systems

KW - Tag Recommendation

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M3 - Conference contribution

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BT - Proceedings - 2020 IEEE 13th International Conference on Services Computing, SCC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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A knowledge graph approach to mashup tag recommendation

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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