الفهرس 
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Abstract
In the past few years, the web services model achieved many successes and became the most widely distributed model used for providing services on the web. This widespread use and the huge number of available web services have given an exceptional importance to the discovery process. As one of the main benefits of the SWSs appearance, the discovery process receives more attention from the SWSs researches and projects. The distinct way of data representation in SWSs model raises the level of researchers’ aspirations about the services that should be offered by any SWSs discovery mechanism. In this Thesis, we aim to propose and implement a new SWSs discovery mechanism. This mechanism has the ability to provide good results for any user request.
Thesis Contributions: a complete SWSs discovery mechanism is introduced. The role of this mechanism starts with the preparatory stage of web services registration, passes through the process of classification and crowns its role by performing the process of matchmaking between the users’ requests and the registered services. There are many notable contributions in this thesis, which can be summarized as follows:
1.Propose, implement and test a local ontologies repository (LOR). This repository can be considered as a product of applying the object-oriented paradigm in the field of semantic web.
2.Propose, implement and validate a new special purpose search engine. This search engine is called ”Ontology search and standardization engine (OSSE)”. The main target of OSSE is to search for a suitable ontology in the repository for a certain ontology concept request.
3.Introduce a new mapping algorithm to redefine the current non-semantic web services in a semantic manner. LOR and OSSE are the two main pillars of this algorithm.
4.Propose the automatic semantic web services classifier (ASWSC). This classifier depends on a novel concepts ranking algorithm (CRA) to measure the strength of the relation between any service and the different services groups.
5.Introduce the first mature semantic distance-based matchmaking algorithm (SDMA). In addition, this thesis contains many proposals and sub-algorithms that address the different aspects of the matchmaking process.