This document discusses various approaches for web service discovery that employ information retrieval (IR) methods. It describes five main approaches:
1. Using singular value decomposition (SVD) to find similar services by representing them as vectors and calculating cosine similarity.
2. Applying the vector space model of IR to represent services and queries as vectors and calculate cosine similarity to discover analogous services.
3. Combining the vector space model with a structure matching algorithm to refine service discovery results.
4. Measuring semantic similarity of services instead of structural similarity by representing data types as trees and calculating edit distances.
5. Enhancing service requests and descriptions with ontologies, representing them as vectors using latent semantic
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Web Service Discovery Mechanisms Based on IR Models