Alleviating sparsity by specificity‐aware ontology‐based clustering for improving web service recommendation
RAHM Rupasingha, I Paik - IEEJ Transactions on Electrical …, 2019 - Wiley Online Library
The rapid development of the Internet in recent years has led to a vast increase in the
numbers of Web services, which challenge users' capability to find their favorite services …
numbers of Web services, which challenge users' capability to find their favorite services …
Context-aware web service clustering and visualization
With the large number of web services now available via the internet, web service discovery
has become a challenging and time-consuming task. Organizing web services into similar …
has become a challenging and time-consuming task. Organizing web services into similar …
Calculating Web service similarity using ontology learning with machine learning
RAHM Rupasingha, I Paik… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
The Web is a popular, easy and common way to propagate information today and according
to the growth of the Web, Web service discovery has become a challenging task. Clustering …
to the growth of the Web, Web service discovery has become a challenging task. Clustering …
Improving service recommendation by alleviating the sparsity with a novel ontology-based clustering
RAHM Rupasingha, I Paik - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Web service recommendation in an efficient and accurate manner has become a significant
tool with information overload and an increasingly urgent demand to provide appropriate …
tool with information overload and an increasingly urgent demand to provide appropriate …
Learning to build accurate service representations and visualization
With the boom of Web services, there is a growing need for visualizing service ecosystems
to help people browse services and understand their functionalities and positions in the …
to help people browse services and understand their functionalities and positions in the …
[PDF][PDF] Improving Web Service Recommendation using Clustering with K-NN and SVD Algorithms.
AM Weerasinghe, RAHM Rupasingha - KSII Transactions on Internet & …, 2021 - itiis.org
In the advent of the twenty-first century, human beings began to closely interact with
technology. Today, technology is developing, and as a result, the world wide web (www) has …
technology. Today, technology is developing, and as a result, the world wide web (www) has …
Ontology learning with complex data type for Web service clustering
Clustering Web services into functionally similar clusters is a very efficient approach to
service discovery. A principal issue for clustering is computing the semantic similarity …
service discovery. A principal issue for clustering is computing the semantic similarity …
A generic symbiotic simulation framework
Context plays an important role for making accurate recommendations in recommendation
systems. There are three types of context: network location context, user context and …
systems. There are three types of context: network location context, user context and …
An Approach to Context-Aware Service Pushing for Mobile Computing
Z Zhao, H Chen, R Li, Z Wang - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Context plays an important role for making accurate recommendations in recommendation
systems. There are three types of context: network location context, user context and …
systems. There are three types of context: network location context, user context and …
Evaluation of Web Service Recommendation Performance via Sparsity Alleviating by Specificity-Aware Ontology-Based Clustering
RAHM Rupasingha, I Paik - 2018 9th International Conference …, 2018 - ieeexplore.ieee.org
With the development of information technology, considerable web services are published
on the Internet rapidly in the last few years. It becomes a challenging task to recommend …
on the Internet rapidly in the last few years. It becomes a challenging task to recommend …