Correlated Topic Model for Web Services Ranking
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 6
Abstract
With the increasing number of published Web services providing similar functionalities, it’s very tedious for a service consumer to make decision to select the appropriate one according to her/his needs. In this paper, we explore several probabilistic topic models: Probabilistic Latent Semantic Analysis (PLSA), Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) to extract latent factors from web service descriptions. In our approach, topic models are used as efficient dimension reduction techniques, which are able to capture semantic relationships between word-topic and topic-service interpreted in terms of probability distributions. To address the limitation of keywords-based queries, we represent web service description as a vector space and we introduce a new approach for discovering and ranking web services using latent factors. In our experiment, we evaluated our Service Discovery and Ranking approach by calculating the precision (P@n) and normalized discounted cumulative gain (NDCGn).
Authors and Affiliations
Mustapha AZNAG, Mohamed QUAFAFOU, Zahi JARIR
Keywords
Related Articles
- EP ID EP87536
- DOI 10.14569/IJACSA.2013.040637
- Views 90
- Downloads 0
Software vs Hardware Implementations for Real-Time Operating Systems
In the development of the embedded systems a very important role is played by the real-time operating system (RTOS). They provide basic services for multitasking on small microcontrollers and the support to implement the...
CryptoROS: A Secure Communication Architecture for ROS-Based Applications
Cyber-attacks are a growing threat to future robots. The shift towards automatization has increased relevance and reliance on robots. Securing robots has been secondary or ternary priority and thus robots are vulnerable...
Optimal Design of PMSA for SBW Application
In this paper a new topology of Permanent Magnet Synchronous Actuator (PMSA) is used for steer-by-wire application. The magnetic field patterns are determined from finite element modeling, for different rotor positions a...
E-Assessment System Based on IMS QTI for the Arabic Grammar
Nowadays e-learning has become a fundamental stream of learning. E-assessment is an important and essential phase of the e-learning process because of all the decisions we will make about learners when teaching them. In...
New 3D Objects Retrieval Approach using Multi Agent Systems and Artificial Neural Network
Content-based 3D object retrieval is a substantial research area that has drawn a significant number of scientists in last couple of decades. Due to the rapid advancement of technology, 3D models are more and more access...