Faculty Publications

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Author: search.filters.author.Ananthanarayana, V.S.Subject: search.filters.subject.Websites

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Now showing 1 - 6 of 6
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    Quality and business offer driven selection of web services for compositions
    (2009) D’Mello, D.A.; Ananthanarayana, V.S.
    The service composition makes use of the existing services to produce a new value added service to execute the complex business process. The service discovery finds the suitable services (candidates) for the various tasks of the composition based on the functionality. The service selection in composition assigns the best candidate for each tasks of the pre-structured composition plan based on the non-functional properties. In this paper, we propose the broker based architecture for the QoS and business offer aware Web service compositions. The broker architecture facilitates the registration of a new composite service into three different registries. The broker publishes service information into the service registry and QoS into the QoS registry. The business offers of the composite Web service are published into a separate repository called business offer (BO) registry. The broker employs the mechanism for the optimal assignment of the Web services to the individual tasks of the composition. The assignment is based on the composite service providers's (CSP) variety of requirements defined on the QoS and business offers. The broker also computes the QoS of resulting composition and provides the useful information for the CSP to publish thier business offers. © 2009 Springer Berlin Heidelberg.
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    Enhanced lbs discovery in a decentralized registry based web services environment
    (Rinton Press Inc. sales@rintonpress.com, 2014) D'Souza, M.; Ananthanarayana, V.S.
    Location Based Services (LBS) is the most happening thing in the mobile industry today. Everybody is trying to generate revenue from location based services. Mobile phone manufacturers are developing new smart phones every day and network providers are offering high speed data connections. Several LBS providers and applications are available in the market but the major problem is service provider dependency. This paper gives an overview of a decentralized registry based architecture using web services technology which facilitates dynamic discovery, interoperability and provider independence. The web services technology uses UDDI registry service for publishing and discovering services but the discovery results obtained are not reliable as the service discovery considers only static service description. This paper contributes to enhancing LBS discovery by considering service dynamics and expanding LBS discovery process to neighboring locations. © Rinton Press.
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    A bio-inspired, incremental clustering algorithm for semantics-based web service discovery
    (Inderscience Enterprises Ltd., 2015) Kamath S?, S.; Ananthanarayana, V.S.
    Web service discovery is a challenging task due to the widespread availability of published services on the web. In this paper, a service crawler-based web service discovery framework is proposed, that employs information retrieval techniques to effectively retrieve available, published service descriptions. Their functional semantics is extracted for similarity computation and tag generation using natural language processing techniques. The framework is inherently dynamic in nature as new service descriptions may be continually added during periodic crawler runs or existing ones may be removed if service is unavailable. To deal with these issues, a dynamic, incremental clustering approach based on bird flocking behaviour is proposed. Experimental results show that semantic analysis and automatic tagging captured the services' functional semantics in a meaningful way. The algorithm effectively handled the dynamic requirements of the proposed framework by eliminating cluster recomputation overhead and achieved a speed-up factor of 61.8% when compared to hierarchical clustering. © 2015 Inderscience Enterprises Ltd.
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    Semantic similarity based context-aware web service discovery using NLP techniques
    (Rinton Press Inc. sales@rintonpress.com, 2016) Kamath S?, S.S.; Ananthanarayana, V.S.
    Due to the high availability and also the distributed nature of published web services on the Web, efficient discovery and retrieval of relevant services that meet user requirements can be a challenging task. In this paper, we present a semantics based web service retrieval framework that uses natural language processing techniques to extract a service’s functional information. The extracted information is used to compute the similarity between any given service pair, for generating additional metadata for each service and for classifying the services based on their functional similarity. The framework also adds natural language querying capabilities for supporting exact and approximate matching of relevant services to a given user query. We present experimental results that show that the semantic analysis & automatic tagging effectively captured the inherent functional details of a service and also the similarity between different services. Also, a significant improvement in precision and recall was observed during Web service retrieval when compared to simple keyword matching search, using the natural language querying interface provided by the proposed framework. © Rinton Press.
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    Semantics-based Web service classification using morphological analysis and ensemble learning techniques
    (Springer Science and Business Media Deutschland GmbH, 2016) Kamath S?, S.S.; Ananthanarayana, V.S.
    With the emergence of the Programmable Web paradigm, the World Wide Web is evolving into a Web of Services, where data and services can be effectively reused across applications. Given the wide diversity and scale of published Web services, the problem of service discovery is a big challenge for service-based application development. This is further compounded by the limited availability of intelligent categorization and service management frameworks. In this paper, an approach that extends service similarity analysis by using morphological analysis and machine learning techniques for capturing the functional semantics of real-world Web services for facilitating effective categorization is presented. To capture the functional diversity of the services, different feature vector selection techniques are used to represent a service in vector space, with the aim of finding the optimal set of features. Using these feature vector models, services are classified as per their domain, using ensemble machine learning methods. Experiments were performed to validate the classification accuracy with respect to the various service feature vector models designed, and the results emphasize the effectiveness of the proposed approach. © 2016, Springer International Publishing Switzerland.
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    Discovering composable web services using functional semantics and service dependencies based on natural language requests
    (Springer New York LLC barbara.b.bertram@gsk.com, 2019) Kamath S?, S.; Ananthanarayana, V.S.
    The processes of service discovery, selection and composition are crucial tasks in web service based application development. Most web service-driven applications are complex and are composed of more than one service, so, it becomes important for application designers to identify the best service to perform the next task in the intended application’s workflow. In this paper, a framework for discovering composable service sets as per user’s complex requirements is proposed. The proposed approach uses natural language processing and semantics based techniques to extract the functional semantics of the service dataset and also to understand user context. In case of simple queries, basic services may be enough to satisfy the user request, however, in case of complex queries, several basic services may have to be identified to serve all the requirements, in the correct sequence. For this, the service dependencies of all the services are used for constructing a service interface graph for finding suitable composable services. Experiments showed that the proposed approach was effective towards finding relevant services for simple & complex queries and achieved an average accuracy rate of 75.09 % in finding correct composable service templates. © 2017, Springer Science+Business Media New York.