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Journal articles on the topic 'Semantic Web Services'

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Published: 4 June 2021
Last updated: 25 May 2024

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1

McIlraith, S. A., T. C. Son, and Honglei Zeng. "Semantic Web services." IEEE Intelligent Systems 16, no. 2 (March 2001): 46–53. http://dx.doi.org/10.1109/5254.920599.

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2

Parsia, Bijan. "Semantic Web Services." Bulletin of the American Society for Information Science and Technology 29, no. 4 (January 31, 2005): 12–15. http://dx.doi.org/10.1002/bult.281.

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3

Hammami, Randa, Hatem Bellaaj, and Ahmed Hadj Kacem. "Semantic Web Services Discovery." International Journal on Semantic Web and Information Systems 14, no. 4 (October 2018): 57–72. http://dx.doi.org/10.4018/ijswis.2018100103.

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This article describes how Web services play an important role in several fields such as e-commerce and e-health. As the number of Web services is increasing rapidly, finding the best Web service according to users' requirements becomes more challenging. The traditional method of Web service discovery is based on keyword match. Due to this, many Web services which are most relevant to the user request are left undiscoverable. Some other emergent approaches are based on semantics to improve the quality of the discovered Web services in terms of relevance and satisfaction of user's need. In this paper, the authors present a survey of existing semantic Web services discovery approaches giving priority to relevant ones. Furthermore, this paper provides a critical and comparative analysis of the studied approaches and stands out major challenges to be addressed to substantially enhance the semantic Web service discovery.
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4

Paolucci, M., and K. Sycara. "Autonomous semantic web services." IEEE Internet Computing 7, no. 5 (September 2003): 34–41. http://dx.doi.org/10.1109/mic.2003.1232516.

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5

Qin, Li. "XBRL, semantic web and web services." International Journal of Business and Systems Research 5, no. 5 (2011): 443. http://dx.doi.org/10.1504/ijbsr.2011.042093.

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6

Bell, David, Christoph Bussler, and Jian Yang. "The Semantic Web and Web Services." Information Systems 31, no. 4-5 (June 2006): 229–31. http://dx.doi.org/10.1016/j.is.2005.03.001.

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7

Albukhitan, Saeed, Ahmed Alnazer, and Tarek Helmy. "Semantic Annotation of Arabic Web Resources Using Semantic Web Services." Procedia Computer Science 83 (2016): 504–11. http://dx.doi.org/10.1016/j.procs.2016.04.243.

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8

Slimani, Thabet. "Approaches for Semantic Web Service." International Journal of Service Science, Management, Engineering, and Technology 4, no. 3 (July 2013): 18–36. http://dx.doi.org/10.4018/ijssmet.2013070102.

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The main objective of the exploitation of semantic descriptions of services through Semantics is a better support for the life-cycle of Web services. The large number of developed ontologies, languages of representations, and integrated frameworks supporting the discovery, composition and invocation of services are a good indicator that research in the field of semantic web service (SWS) has been considerably active. The authors provide in this paper a detailed overview of the approaches and solutions, indicating their core characteristics and objectives required and provide indicators for the interested reader to follow up further insights and details about these solutions and related software.
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Sharma, Meenakshi, and Vikas Goyal. "Enhancement in Semantic Web using Web Services." International Journal of Computer Applications 79, no. 16 (October 18, 2013): 49–54. http://dx.doi.org/10.5120/13949-1953.

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10

Acuña, César J., Mariano Minoli, and Esperanza Marcos. "Integrating Web Portals with Semantic Web Services." International Journal of Enterprise Information Systems 6, no. 1 (January 2010): 57–67. http://dx.doi.org/10.4018/jeis.2010120205.

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Several systems integration proposals have been suggested over the years. However these proposals have mainly focused on data integration, not allowing users to take advantage of services offered by Web portals. Most of the mentioned proposals only provide a set of design principles to build integrated systems and lack in suggesting a systematic way of how to develop systems based on the integration architecture they propose. In previous work we have developed PISA (Web Portal Integration Architecture)—a Web portal integration architecture for data and services—and MIDAS-S, a methodological approach for the development of integrated Web portals, built according to PISA. This work shows, by means of a case study, how both proposals fit together integrating Web portals.
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Hu, Yang, Qingping Yang, Xizhi Sun, and Peng Wei. "Applying Semantic Web Services to Enterprise Web." International Journal of Manufacturing Research 7, no. 1 (2012): 1. http://dx.doi.org/10.1504/ijmr.2012.045240.

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12

Medjahed, Brahim, Athman Bouguettaya, and Ahmed K. Elmagarmid. "Composing Web services on the Semantic Web." VLDB Journal The International Journal on Very Large Data Bases 12, no. 4 (November 1, 2003): 333–51. http://dx.doi.org/10.1007/s00778-003-0101-5.

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Celik, Duygu, and Atilla Elci. "Semantic composition of business processes using Armstrong's Axioms." Knowledge Engineering Review 29, no. 2 (March 2014): 248–64. http://dx.doi.org/10.1017/s0269888914000083.

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AbstractLack of sufficient semantic description in the content of Web services makes it difficult to find and compose suitable Web services during analysis, search, and matching processes. Semantic Web Services are Web services that have been enhanced with formal semantic description, which provides well-defined meaning. Due to insertion of semantics, meeting user demands will be made possible through logical deductions achieving resolutions automatically. We have developed an inference-based semantic business process composition agent (SCA) that employs inference techniques. The semantic composition agent system is responsible for the synthesis of new services from existing ones in a semi-automatic fashion. SCA System composes available Web Ontology Language for Web services atomic processes utilizing Revised Armstrong's Axioms (RAAs) in inferring functional dependencies. RAAs are embedded in the knowledge base ontologies of SCA System. Experiments show that the proposed SCA System produces process sequences as a composition plan that satisfies user's requirement for a complex task. The novelty of the SCA System is that for the first time Armstrong's Axioms are revised and used for semantic-based planning and inferencing of Web services.
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14

Burstein, M., C. Bussler, T. Finin, M. N. Huhns, M. Paolucci, A. P. Sheth, S. Williams, and M. Zaremba. "A semantic Web services architecture." IEEE Internet Computing 9, no. 5 (September 2005): 72–81. http://dx.doi.org/10.1109/mic.2005.96.

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15

Gibbins, Nicholas, Stephen Harris, and Nigel Shadbolt. "Agent-based Semantic Web Services." Journal of Web Semantics 1, no. 2 (February 2004): 141–54. http://dx.doi.org/10.1016/j.websem.2003.11.002.

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16

Martin, David, John Domingue, Amit Sheth, Steve Battle, Katia Sycara, and Dieter Fensel. "Semantic Web Services, Part 2." IEEE Intelligent Systems 22, no. 6 (November 2007): 8–15. http://dx.doi.org/10.1109/mis.2007.118.

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Martin, David, John Domingue, Michael L. Brodie, and Frank Leymann. "Semantic Web Services, Part 1." IEEE Intelligent Systems 22, no. 5 (September 2007): 12–17. http://dx.doi.org/10.1109/mis.2007.4338488.

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18

HOWARD, RANDY, and LARRY KERSCHBERG. "A FRAMEWORK FOR DYNAMIC SEMANTIC WEB SERVICES MANAGEMENT." International Journal of Cooperative Information Systems 13, no. 04 (December 2004): 441–85. http://dx.doi.org/10.1142/s0218843004001024.

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The use of Web services as a means of dynamically discovering, negotiating, composing, executing and managing services to materialize enterprise-scale workflow is an active research topic. Existing approaches involve many disparate concepts, frameworks and technologies. What is needed is a comprehensive and overarching framework that handles the processing and workflow requirements of Virtual Organizations, maps them to a collection of service-oriented tasks, dynamically configures these tasks from available services, and manages the choreography and execution of these services. The goal is to add semantics to Web services to endow them with capabilities needed for their successful deployment in enterprise-scale systems for Virtual Organizations. This paper introduces such a framework, the Knowledge-based Dynamic Semantic Web Services (KDSWS) Framework that addresses in an integrated end-to-end manner, the life-cycle of activities involved in preparing, publishing, requesting, discovering, selecting, configuring, deploying, and delivering Semantic Web Services. In particular, the following issues are addressed with an emphasis on adaptability to rapidly changing environments and standards: (1) semantic specification of both service's and requestor's capabilities, constraints and preferences including quality of service, trust, and security; (2) transaction control and workflow management; and (3) resource management, interoperation and evolution of the Virtual Organization.
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19

Farrag, Tamer A., Ahmed I. Saleh, and H. A. Ali. "Semantic web services matchmaking: Semantic distance-based approach." Computers & Electrical Engineering 39, no. 2 (February 2013): 497–511. http://dx.doi.org/10.1016/j.compeleceng.2012.09.007.

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A, Bhuvaneswari, and G. R. Karpagam. "SEMANTIC WEB SERVICE DISCOVERY FOR MOBILE WEB SERVICES." International Journal of Business Intelligence and Data Mining 12, no. 2 (2017): 1. http://dx.doi.org/10.1504/ijbidm.2017.10003120.

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21

Bhuvaneswari, A., and G. R. Karpagam. "Semantic web service discovery for mobile web services." International Journal of Business Intelligence and Data Mining 13, no. 1/2/3 (2018): 95. http://dx.doi.org/10.1504/ijbidm.2018.088421.

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22

Guzmán Luna, Jaime Alberto, and Demetrio Arturo Ovalle Carranza. "Web service composition: a semantic web and automated planning technique application." Ingeniería e Investigación 28, no. 3 (September 1, 2008): 145–49. http://dx.doi.org/10.15446/ing.investig.v28n3.15134.

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This article proposes applying semantic web and artificial intelligence planning techniques to a web services composition model dealing with problems of ambiguity in web service description and handling incomplete web information. The model uses an OWL-S services and implements a planning technique which handles open world semantics in its reasoning process to resolve these problems. This resulted in a web services composition system incorporating a module for interpreting OWL-S services and converting them into a planning problem in PDDL (a planning module handling incomplete information) and an execution service module concurrently interacting with the planner for executing each composition plan service.
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23

el Bouhissi, Houda, Mimoun Malki, and Mohamed Amine Sidi Ali Cherif. "From User's Goal to Semantic Web Services Discovery." International Journal of Information Technology and Web Engineering 9, no. 3 (July 2014): 15–39. http://dx.doi.org/10.4018/ijitwe.2014070102.

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The growing number of the Web Services available on the Web without explicit associated semantic descriptions raises a new and challenging research problem: How to discover efficiently the relevant Web Services that fulfill the user expectations. However, many services that are relevant to a specific user service request may not be considered during the service discovery process. In this paper, the authors address the issue of the Web Service discovery given nonexplicit service description semantics that match a specific service request. Their approach is based on a captured user goal from an HTML form and the traceability and involves semantic-based service categorization, semantic discovery and selection of the best Web Service. Furthermore, the authors' proposal employs ontology matching algorithms to match a specific goal to an existing Web Service. An experimental test of the proposed framework related to the Medical Analysis domain is reported, showing the impact of the proposal in decreasing the time and the effort of the discovery process as a whole.
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24

Das, Nakul C., Shamim Ripon, Orin Hossain, and Mohammad Salah Uddin. "Requirement Analysis of Product Line Based Semantic Web Services." Lecture Notes on Software Engineering 2, no. 3 (2014): 210–17. http://dx.doi.org/10.7763/lnse.2014.v2.125.

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25

LÉCUÉ, FREDDY, ALEXANDRE DELTEIL, ALAIN LÉGER, and OLIVIER BOISSIER. "WEB SERVICE COMPOSITION AS A COMPOSITION OF VALID AND ROBUST SEMANTIC LINKS." International Journal of Cooperative Information Systems 18, no. 01 (March 2009): 1–62. http://dx.doi.org/10.1142/s0218843009001975.

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Automated composition of Web services or the process of forming new value-added Web services is one of the most promising challenges facing the Semantic Web today. Semantics enables Web service to describe capabilities together with their processes, hence one of the key elements for the automated composition of Web services. In this paper, we focus on the functional level of Web services i.e. services are described according to some input, output parameters semantically enhanced by concepts in a domain ontology. Web service composition is then viewed as a composition of semantic links wherein the latter links refer to semantic matchmaking between Web service parameters (i.e. outputs and inputs) in order to model their connection and interaction. The key idea is that the matchmaking enables, at run time, finding semantic compatibilities among independently defined Web service descriptions. By considering such a level of composition, a formal model to perform the automated composition of Web services i.e. Semantic Link Matrix, is introduced. The latter model is required as a starting point to apply problem-solving techniques such as regression (or progression)-based search for Web service composition. The model supports a semantic context in order to find correct, complete, consistent and robust plans as solutions. In this paper, an innovative and formal model for an AI (Artificial Intelligence) planning-oriented composition is presented. Our system is implemented and interacting with Web services which are dedicated to Telecom scenarios. The preliminary evaluation results showed high efficiency and effectiveness of the proposed approach.
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26

Halilali, Meriem Sabrine, Eric Gouardères, Mauro Gaio, and Florent Devin. "Geospatial Web Services Discovery through Semantic Annotation of WPS." ISPRS International Journal of Geo-Information 11, no. 4 (April 12, 2022): 254. http://dx.doi.org/10.3390/ijgi11040254.

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This paper presents an approach to GWS (GeospatialWeb Service) discovery through the semantic annotation of WPS (Web Processing Service) service descriptions. The rationale behind this work is that search engines that use appropriate semantic-based similarity measures in the matching process are more accurate in terms of precision and recall than those based on syntactic matching alone. The lack of semantics in the description of services using a standard such as WPS prevents the use of such a matching process and is considered a limitation of GWS discovery. The GWS discovery approach presented is based on the consideration of semantics in the service description method and in the matching process. The description of services is based on a semantic lightweight meta-model instantiated in the WPS 2.0 standard, extending the description of the service through metadata tags. The matching process is performed in three steps (functionality matching step, I/O (Input/Output) matching step and non-functional matching step). Its core is a semantic similarity measure that combines logical and non-logical matching methods. Finally, the paper presents the results of an experiment applying the proposed discovery approach on a GWS corpus, showing promising results and the added value of the three-step matching process.
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27

Choi, Ok-Kyung, Sang-Yong Han, and Zoon-Ky Lee. "Extended Semantic Web Services Retrieval Model for the Intelligent Web Services." KIPS Transactions:PartD 13D, no. 5 (October 1, 2006): 725–30. http://dx.doi.org/10.3745/kipstd.2006.13d.5.725.

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28

Celik, Duygu, and Atilla Elci. "Provision of semantic web services through an intelligent semantic web service finder." Multiagent and Grid Systems 4, no. 3 (August 29, 2008): 315–34. http://dx.doi.org/10.3233/mgs-2008-4306.

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29

Hepp, M. "Semantic Web and semantic Web services: father and son or indivisible twins?" IEEE Internet Computing 10, no. 2 (March 2006): 85–88. http://dx.doi.org/10.1109/mic.2006.42.

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Arroyo, Sinuhe, and Jose Manuel Lopez-Cobo. "Describing web services with semantic metadata." International Journal of Metadata, Semantics and Ontologies 1, no. 1 (2006): 76. http://dx.doi.org/10.1504/ijmso.2006.008772.

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31

Mentzas, Gregoris, Kostas Kafentzis, and Panos Georgolios. "Knowledge services on the semantic web." Communications of the ACM 50, no. 10 (October 2007): 53–58. http://dx.doi.org/10.1145/1290958.1290962.

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32

Karakoc, E., and P. Senkul. "Composing semantic Web services under constraints." Expert Systems with Applications 36, no. 8 (October 2009): 11021–29. http://dx.doi.org/10.1016/j.eswa.2009.02.098.

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Wang, Haibin, Yan-Qing Zhang, and Rajshekhar Sunderraman. "Extensible soft semantic web services agent." Soft Computing 10, no. 11 (November 17, 2005): 1021–29. http://dx.doi.org/10.1007/s00500-005-0029-3.

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34

Millard, David E., Karl Doody, Hugh C. Davis, Lester Gilbert, Yvonne Howard, Feng (Barry) Tao, and Gary Wills. "(Semantic web) services for e-learning." International Journal of Knowledge and Learning 4, no. 2/3 (2008): 298. http://dx.doi.org/10.1504/ijkl.2008.020670.

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35

Payne, T., and O. Lassila. "Guest Editors' Introduction: Semantic Web Services." IEEE Intelligent Systems 19, no. 4 (July 2004): 14–15. http://dx.doi.org/10.1109/mis.2004.29.

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36

Yang, Bo, and Zheng Qin. "Composing Semantic Web Services with PDDL." Information Technology Journal 9, no. 1 (December 15, 2009): 48–54. http://dx.doi.org/10.3923/itj.2010.48.54.

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37

Xuan Shi. "Semantic Web Services: An Unfulfilled Promise." IT Professional 9, no. 4 (July 2007): 42–45. http://dx.doi.org/10.1109/mitp.2007.75.

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38

Dantas, José Renato Villela, and Pedro Porfirio Muniz Farias. "An Architecture for Restful Web Service Discovery Using Semantic Interfaces." International Journal on Semantic Web and Information Systems 16, no. 1 (January 2020): 1–24. http://dx.doi.org/10.4018/ijswis.2020010101.

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In the internet environment, web services based on representational state transfer (REST) have become the de facto standard. The addition of semantics is intended to enhance the description of web services with information that enables automatic agents to understand their data. However, the existence of different languages to semantically describe services makes it difficult to discover and select the service that best meets a requirement. Furthermore, relatively few proposals have a RESTful service semantic description, making the discovery process for RESTful services more difficult. This work proposes a RESTful semantic web service discovery architecture based on semantic interfaces (SERIN). SERIN is an ontology with annotations that semantically describe RESTful web services. This architecture enables software agents to automatically discover and make service calls in order to execute a determined task.
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He, Qian, Baokang Zhao, Liang Chang, Jinshu Su, and Ilsun You. "PSSRC." International Journal of Data Warehousing and Mining 12, no. 2 (April 2016): 21–38. http://dx.doi.org/10.4018/ijdwm.2016040102.

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The Universal Description, Discovery and Integration (UDDI) registry is widely used for organizing Web services in the Internet, but it cannot meet the requirement of organizing massive Web services in the cloud computing environment. In this paper, a Web service registration cloud based on structured P2P and semantics (PSSRC) is presented. On the one hand, PSSRC works on a structured P2P overlay which is organized by using Pastry in multiple registration nodes, where each registration node is composed of seven modules namely system configuration, schedule and distribution, P2P communication, access and control, UDDI, resources monitoring, and semantic process. On the other hand, a semantic ontology database named WordNet is used to process semantic queries in PSSRC. PSSRC inherits the advantage of UDDI in that the registration and discovery of Web services are transparent to Web services providers. Furthermore, it is shown by experiment that the capacity of PSSRC can be extended dynamically, and both semantic queries and large scalable accesses are well supported.
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Merin, J. Brindha, Dr W. Aisha Banu, Akila R., and Radhika A. "Semantic Annotation Based Mechanism for Web Service Discovery and Recommendation." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 14, no. 3 (September 30, 2023): 169–85. http://dx.doi.org/10.58346/jowua.2023.i3.013.

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Web Mining is regarded as one among the data mining techniques that aids in fetching and extraction of necessary data from the web. Conversely, Web usage mining discovers and extracts essential patterns usage over the webs which are being further utilized by various web applications. In order to discover and explore web services that are registered with documents of Web Services-Inspection, Discovery and Integration registry, Universal Description wants specific search circumstance similar to URL, category and service name. The document of Web Service Description Language (WSDL) offers a condition of the web services customers to take out operations, communications and the service format of right message. Therefore, WSDL is being utilized together with semantic explanation dependent substantiation for the extraction of different web services for related purpose, other supporting operations and attributes. The reason is that there subsist different web services having corresponding functionalities however altered or changeable attributes that are non–functional. Resultant, recognize the preeminent web service become tiresome for the user. A method is projected which caters the analysis of service resemblance with the aid of semantic annotation and machine learning (ML) algorithms depending on the analysis intended for enhancing the classification through capturing useful web services semantics related with real world. The emphasizes on the research technique of choosing preeminent web service for the user based on the semantic annotation. The research work in turn recommends a web mining technique that determines the best web service automatically thus ranking concepts in service textual documentation and classifies services on behalf of particular domains. Parallel computation is made easy with web services. The different management stages in the system of recommendation entail collection of dataset through WSDL on the semantic annotation basis, thereby recognizing the best service with the DOBT-Dynamic operation dependent discovering method, ranking through mechanisms MDBR - Multi-Dimensional based ranking, recommendation and classification. In this work, it has been employed a combination of fundamental ML estimators, namely Multinomial Naive Bayes (MNB) and Support Vector Machines (SVM), as well as ensemble techniques such as Bagging, Random Forests, and AdaBoost, to perform classification of Web services. It was observed from the investigate work that the adapted system of best web services recommendation defers high performance in contradiction of the existing recommendation technique regarding accuracy, efficiency in addition to processing time.
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Zeng, Zhi Hao, Fu Lu Guo, and Qi Sun. "SDMM Based Ranking Mechanism for Semantic Web Services Search." Applied Mechanics and Materials 373-375 (August 2013): 1853–58. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1853.

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For search of semantic Web services, a semantic Web services matching results ranking mechanism based on SDMM (semantic distance metric model) is proposed. The calculation of semantic similarity measure can be realized by using this three-dimensional SDMM which is for presenting the semantic relationship of objects defined in ontology, therefore, the semantic Web Service matchmaking results can be ranked in accordance with the semantic similarity measure. The approach based on SDMM significantly improves search accuracy of semantic Web service matchmaking, and enhance users experience of semantic Web services search. By a set of experiments, we demonstrate the benefits and effectiveness of our approach.
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Krogstie, John, Csaba Veres, and Guttorm Sindre. "Integrating Semantic Web Technology, Web Services, and Workflow Modeling." International Journal of Enterprise Information Systems 3, no. 1 (January 2007): 22–41. http://dx.doi.org/10.4018/jeis.2007010102.

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43

Bussler, Christoph, Dieter Fensel, and Alexander Maedche. "A conceptual architecture for semantic web enabled web services." ACM SIGMOD Record 31, no. 4 (December 2002): 24–29. http://dx.doi.org/10.1145/637411.637415.

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44

HAO, KE, PHILLIP C.-Y. SHEU, and HIROSHI YAMAGUCHI. "SEMANTIC SEARCH OF SERVICES." International Journal of Semantic Computing 07, no. 03 (September 2013): 257–90. http://dx.doi.org/10.1142/s1793351x13500049.

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This paper addresses semantic search of Web services using natural language processing. First we survey various existing approaches, focusing on the fact that the expensive costs of current semantic annotation frameworks result in limited use of semantic search for large scale applications. We then propose a service search framework based on the vector space model to combine the traditional frequency weighted term-document matrix, the syntactical information extracted from a lexical database and a dependency grammar parser. In particular, instead of using terms as the rows in a term-document matrix, we propose using synsets from WordNet to distinguish different meanings of a word under different contexts as well as clustering different words with similar meanings. Also based on the characteristics of Web services descriptions, we propose an approach to identifying semantically important terms to adjust weightings. Our experiments show that our approach achieves its goal well.
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45

Sánchez, Diana M., César J. Acuña, José María Cavero, and Esperanza Marcos. "Toward UML-Compliant Semantic Web Services Development." International Journal of Enterprise Information Systems 6, no. 1 (January 2010): 44–56. http://dx.doi.org/10.4018/jeis.2010120204.

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The emerging Semantic Web and, in particular, Semantic Web services (SWS), demands the inclusion of new components in applications involving this technology. Therefore, Web development methodologies must be tailored to support the systematic development of such new components. In previous works we presented a UML profile, which extends the SOD-M method for service oriented Web Information System development of the MIDAS model-driven framework, to address the development of Semantic Web Services using WSMO (Web Service Modeling Ontology). The UML profile allows for the modeling of the new elements required by WSMO Web Services. This article focuses on studying the possibility of improving the proposed UML profile, including the OCL (Object Constraint Language), for the representation of WSMO logical axioms through three case studies. This would allow developers, whose knowledge does not extend beyond UML, to develop applications that use Semantic Web services.
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Huicong Ning, and Xiuli Shao. "Social network-based Semantic web services discovery." International Journal of Digital Content Technology and its Applications 6, no. 5 (March 31, 2012): 150–59. http://dx.doi.org/10.4156/jdcta.vol6.issue5.18.

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47

Chaleplioglou, Artemis. "Accelerating Biomedical Research through Semantic Web Services." International Journal of Reliable and Quality E-Healthcare 3, no. 1 (January 2014): 32–48. http://dx.doi.org/10.4018/ijrqeh.2014010104.

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In view of the fact that there is a lot of biomedical research data, rapidly accumulating to relevant repositories, there is an urgent need these data to be delivered, as soon as possible, to the specific scientific audience interesting in it. Unfortunately, the current database technologies often isolate data rather than making it easily and freely accessible. A considerable effort by the information scientists is needed to process the resources that meet the scientific query criteria as well as to index and present them as useful metadata. Taking into account that biomedical data are mostly hidden from the public eye, often stored in not indexed databases or libraries and inaccessible by standard search engines, the retrieval, storing, annotating, and qualification of health information remain major challenges. The evolution of the World Wide Web from a collection of unstructured and predominantly human readable data into the Semantic Web of knowledge with meaningful relationships between resources and machine readable data will significantly improve our ability to conduct bioinformatics analyses and to make better clinical decisions that positively affect healthcare outcomes. To this end novel semantic web services arise, which depend on markup ontologies in order to make biological and clinical data logical analysis computational and reasonable processed through the utilization of appropriate algorithms. Herein, we discuss the use of these technologies for the efficient and reliable retrieval of meaningful biomedical data from the relevant resources and repositories.
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48

Manukyan, A., D. Korobkin, S. Fomenkov, and S. Kolesnikov. "Semantic patent analysis with Amazon Web Services." Journal of Physics: Conference Series 2060, no. 1 (October 1, 2021): 012025. http://dx.doi.org/10.1088/1742-6596/2060/1/012025.

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Abstract Semantic analysis of the patent array allows us to solve several modern problems: (1) Clustering of the patent array. This information can be useful for identifying patent trends, key modern technologies, and predicting the demand for technologies in the future period; (2) Automation of the work of the patent office expert. Based on a full-text query (the text of a patent application), a search for analogous patents can be performed. This study describes a developed software that provides the possibility of clustering the patent array (topic modeling), identifying groups of related patents (not based on patent classification but on the basis of key terms/phrases extracted from the texts), and a search for patents using AWS technologies.
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49

Hu, Boran, Zehui Cheng, and Zhangbing Zhou. "Web services recommendation leveraging semantic similarity computing." Mathematical Foundations of Computing 1, no. 2 (2018): 101–19. http://dx.doi.org/10.3934/mfc.2018006.

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50

WANG, Jie-Sheng, Zhou-Jun LI, and Meng-Jun LI. "Composing Semantic Web Services with Description Logics." Journal of Software 19, no. 4 (March 25, 2010): 967–80. http://dx.doi.org/10.3724/sp.j.1001.2008.00967.

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