TY - GEN
T1 - Approach Considering Collective Intelligence for Interactive Web Services Composition
AU - Youssfi Nouira, Ameni
AU - Jamoussi, Yassine
N1 - Publisher Copyright:
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PY - 2023/5/5
Y1 - 2023/5/5
N2 - Service-oriented computing (SOC) is a new computing paradigm that creates new semantic Web services composition. Moreover, some current interactive (WS) composition approaches have produced multiple aspects of interactivity and collaborative processes with a growing interest in collective intelligence and collaborative procedures to improve and enrich ontological knowledge. Several researchers have attempted to benefit from Web information to improve discovery, selection, and Web services composition. The emergence of the social networking paradigm and the lack of research works dealing with the importance of social networking in knowledge building have led us to think about how to exploit in an enrichment and construction ontology. In this paper, we present a novel ontology with high precision, based on the information existing on social networking sites. We propose an approach that consists of an interactive WS composition relying on an ontology constructed by mining social networking sites (Twitter and Facebook). Our approach is composed of the following three steps: First, information is extracted from social networking sites. Second, a new ontology is built on the basis of the extracted facts. Finally, a semantic WS composition is executed by providing the benefits of the constructed ontology. To validate the proposed approach, we present a method of constructing the proposed ontology and show how it can be utilized for semantic Web services composition. We also demonstrate that the constructed ontology positively affects the process.
AB - Service-oriented computing (SOC) is a new computing paradigm that creates new semantic Web services composition. Moreover, some current interactive (WS) composition approaches have produced multiple aspects of interactivity and collaborative processes with a growing interest in collective intelligence and collaborative procedures to improve and enrich ontological knowledge. Several researchers have attempted to benefit from Web information to improve discovery, selection, and Web services composition. The emergence of the social networking paradigm and the lack of research works dealing with the importance of social networking in knowledge building have led us to think about how to exploit in an enrichment and construction ontology. In this paper, we present a novel ontology with high precision, based on the information existing on social networking sites. We propose an approach that consists of an interactive WS composition relying on an ontology constructed by mining social networking sites (Twitter and Facebook). Our approach is composed of the following three steps: First, information is extracted from social networking sites. Second, a new ontology is built on the basis of the extracted facts. Finally, a semantic WS composition is executed by providing the benefits of the constructed ontology. To validate the proposed approach, we present a method of constructing the proposed ontology and show how it can be utilized for semantic Web services composition. We also demonstrate that the constructed ontology positively affects the process.
KW - Interactivity
KW - Ontology
KW - Social networking
KW - Web services composition
UR - http://www.scopus.com/inward/record.url?scp=85161428852&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85161428852&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/9722a6f0-e065-3cce-987f-b5bc701269dc/
U2 - 10.1145/3589462.3589500
DO - 10.1145/3589462.3589500
M3 - Conference contribution
AN - SCOPUS:85161428852
SN - 9798400707445
T3 - International Database Engineered Applications Symposium Conference
SP - 87
EP - 93
BT - ACM International Conference Proceeding Series
A2 - Chbeir, Richard
A2 - Ivanovic, Mirjana
A2 - Manolopoulos, Yannis
A2 - Revesz, Peter Z.
PB - Association for Computing Machinery
T2 - 27th International Database Engineered Applications Symposium, IDEAS 2023
Y2 - 5 May 2023 through 7 May 2023
ER -