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Eyhab Al-Masri

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Publication statistics

Pub. period:2006-2008
Pub. count:7
Number of co-authors:2

Co-authors

Number of publications with 3 favourite co-authors:

Qusay H. Mahmoud:7
Zhixin Wang:1

Productive colleagues

Eyhab Al-Masri's 3 most productive colleagues in number of publications:

Qusay H. Mahmoud:21
Zhixin Wang:1

Calendar

May 22

Knowing (by) Designing 2013

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 21

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Eyhab Al-Masri

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Publications by Eyhab Al-Masri (bibliography)

2008

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Al-Masri, Eyhab and Mahmoud, Qusay H. (2008): Discovering Web Services in Search Engines. In IEEE Internet Computing, 12 (3) pp. 74-77.

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Al-Masri, Eyhab and Mahmoud, Qusay H. (2008): Investigating web services on the world wide web. In: Proceedings of the 2008 International Conference on the World Wide Web 2008. pp. 795-804.

“Searching for Web service access points is no longer attached to service registries as Web search engines have become a new major source for discovering Web services. In this work, we conduct a thorough analytical investigation on the plurality of Web service interfaces that exist on the Web today. Using our Web Service Crawler Engine (WSCE), we collect metadata service information on retrieved interfaces through accessible UBRs, service portals and search engines. We use this data to determine Web service statistics and distribution based on object sizes, types of technologies employed, and the number of functioning services. This statistical data can be used to help determine the current status of Web services. We determine an intriguing result that 63% of the available Web services on the Web are considered to be active. We further use our findings to provide insights on improving the service retrieval process.”

2007

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Al-Masri, Eyhab and Mahmoud, Qusay H. (2007): Crawling multiple UDDI business registries. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 1255-1256.

“As Web services proliferate, size and magnitude of UDDI Business Registries (UBRs) are likely to increase. The ability to discover Web services of interest then across multiple UBRs becomes a major challenge specially when using primitive search methods provided by existing UDDI APIs. Clients do not have the time to endlessly search accessible UBRs for finding appropriate services particularly when operating via mobile devices. Finding services of interest should be time effective and highly productive. This paper addresses issues relating to the efficient access and discovery of Web services across multiple UBRs and introduces a novel exploration engine, the Web Service Crawler Engine (WSCE). WSCE is capable of crawling multiple UBRs, and enables for the establishment of a centralized Web services repository that can be used for discovering Web services much more efficiently. The paper presents experimental validation, results, and analysis of the proposed ideas.”

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Al-Masri, Eyhab and Mahmoud, Qusay H. (2007): Discovering the best web service. In: Proceedings of the 2007 International Conference on the World Wide Web 2007. pp. 1257-1258.

“Major research challenges in discovering Web services include, provisioning of services across multiple or heterogeneous registries, differentiating between services that share similar functionalities, improving end-to-end Quality of Service (QoS), and enabling clients to customize the discovery process. Proliferation and interoperability of this multitude of Web services have lead to the emergence of new standards on how services can be published, discovered, or used (i.e. UDDI, WSDL, SOAP). Such standards can potentially provide many of these features and much more, however, there are technical challenges associated with existing standards. One of these challenges is the client's ability to control the discovery process across accessible service registries for finding services of interest. This work proposes a solution to this problem and introduces the Web Service Relevancy Function (WsRF) used for measuring the relevancy ranking of a particular Web service based on QoS metrics and client preferences. We present experimental validation, results, and analysis of the presented ideas.”

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Mahmoud, Qusay H., Al-Masri, Eyhab and Wang, Zhixin (2007): Design and implementation of a smart system for personalization and accurate selection of mobile services. In Requir. Eng., 12 (4) pp. 221-230.

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Al-Masri, Eyhab and Mahmoud, Qusay H. (2007): Interoperability among Service Registry Standards. In IEEE Internet Computing, 11 (3) pp. 74-77.

2006

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Al-Masri, Eyhab and Mahmoud, Qusay H. (2006): A context-aware mobile service discovery and selection mechanism using artificial neural networks. In: Fox, Mark S. and Spencer, Bruce (eds.) Proceedings of the 8th International Conference on Electronic Commerce - ICEC 2006 2006, Fredericton, New Brunswick, Canada. pp. 594-598.

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