A Framework for Semantic Discovery of Web Services (original) (raw)

Novel Semantic Model for Intelligent Discovery of Web Services

International Journal of Advanced Science and Technology, 2015

Main challenges to the current semantic web service technologies are exponential continuous growth in the number of services on the Internet, syntax based discovery, lack of common agreed upon semantic service standards and heterogeneity of ontologies. In this paper, a service discovery approach independent of semantic service description models is proposed to solve the challenges of the current web service discovery. The idea is to combine principles from machine learning, data mining, statistical techniques and measures of semantic relatedness to make the semantic web service discovery process more intelligent, efficient and effective. The proposed approach exploits the use of semantic as well as syntactic information present within the service description profiles. Our approach is unique in terms of its application to any web service description language and the use of Omiotis measure of semantic relatedness for service discovery. The proposed approach has been implemented on OWLS based service descriptions profiles and is able to find semantic relationship between the services which were otherwise discarded by the OWL-MX matchmaker. Empirical analysis shows that the proposed method out performs the IDF TF-based cosine similarity method, Jaccard method and LSA based approach.

Web Services Discovery Utilizing Semantically Annotated WSDL

2008

To make semantic Web services accessible to users, providers use registries to publish them. Unfortunately, the current registries use discovery mechanisms which are inefficient, as they do not support discovery based on the semantics of the services and thus lead to a considerable number of irrelevant matches. Semantic discovery and matching of services is a promising approach to address this challenge. This paper presents an algorithm to match a semantic Web service request described with SAWSDL against semantic Web service advertisements. The algorithm is novel in three fundamental aspects. First, the similarity among semantic Web service properties, such as inputs and outputs, is evaluated using Tversky’s model which is based on concepts (classes), their semantic relationships, and their common and distinguishing features (properties). Second, the algorithm, not only takes into account services’ inputs and outputs, but it also considers the functionality of services. Finally, the algorithm is able to match a semantic Web service request against advertisements that are annotated with concepts that are with or without a common ontological commitment. In other words, it can evaluate the similarity of concepts defined in the context of different ontologies.

A Linguistic Approach for Semantic Web Service Discovery

Advances in Intelligent Systems and Computing, 2012

We propose a Semantic Web Service Discovery framework for finding semantically annotated Web services by using natural language processing techniques. The framework searches through a set of annotated Web services for matches with a user query, which consists of keywords, so that knowledge about semantic languages is not required. For matching keywords with Semantic Web service descriptions given in Web Service Modeling Ontology (WSMO), techniques like partof-speech tagging, lemmatization, and word sense disambiguation are used. Three different matching algorithms are defined and evaluated for their ability to do exact matching and approximate matching between the user query and Web Service descriptions. J. Casillas et al. (Eds.): Management Intelligent Systems, AISC 171, pp. 131-142. springerlink.com c Springer-Verlag Berlin Heidelberg 2012 132 J. Sangers et al.

A Framework for Automatic Web Service Discovery Based on Semantics and NLP Techniques

As a greater number of Web Services are made available today, automatic discovery is recognized as an important task. To promote the automation of service discovery, different semantic languages have been created that allow describing the functionality of services in a machine interpretable form using Semantic Web technologies. The problem is that users do not have intimate knowledge about semantic Web service languages and related toolkits. In this paper, we propose a discovery framework that enables semantic Web service discovery based on keywords written in natural language. We describe a novel approach for automatic discovery of semantic Web services which employs Natural Language Processing techniques to match a user request, expressed in natural language, with a semantic Web service description. Additionally, we present an efficient semantic matching technique to compute the semantic distance between ontological concepts.

Semantic Annotation Based Effective and Quality Oriented Web Service Discovery

Journal of Internet Services and Information Security

The main objective of this work is to design an effective web service discovery engine that retrieves the best matching results based on the measure of syntactic cum semantic similarity between the user query and the web service to be fetched. The idea is to draw bridges across the broad spectrum of lexical entities based on their relativeness. The essence of this work could be extended to support a wide range of applications from ‘being inculcated in search engines to fetch user-relevant data’ to ‘being used for training robots and AI based devices to respond/adhere appropriately to the different phrases of human commands’.With the accelerated revolution of internet, enterprises and organizations highly rely on Service oriented computing. Web services support inter-operation of distributed applications. Humongous amount of web services present on the internet the user is searching for. The paper focuses ondesigninga practical means of fast and relevant retrieval of web services.The...

An agency for semantic-based automatic discovery of web-services

Artificial Intelligence …, 2004

With the evolution of Web service technology, services will not only become increasingly sophisticated, but also move into the area of business-to-consumer and peer-to-peer interactions. Because of todays wide variety of services offered to perform a specific task, there is a need for mediation infrastructures able to support humans or agents in the eventual selection of appropriate services. It is a common opinion that such issues should be solved adopting semantically rich unambiguous descriptions. Hence, ontologies should be used to describe services, to ease their discovery and selection. In order to perform such a selection, a matchmaking procedure, based on semantic descriptions similarity, is needed. Technologies developed for the Semantic Web based on theoretical studies on Artificial Intelligence, particularly on Description Logics, can help in this sense. As the Semantic Web is conceived as an extension of the current one, technologies developed explicitly for they both must be used synergically in order to provide a semantic layer to approaches such as UDDI registries, using OWL formatted descriptions. In this paper we present a framework for discovery of services, stored in an UDDI registry, which exposes a description whose semantic can be modeled using OWL-DL based formalism. In order to perform this task, methodologies to compute semantic differences between two descriptions and non-standard inference services have been investigated and exploited in an implemented system.

A Study on Knowledge Discovery of Relevant Web Services with Semantic and Syntactic approaches

Web mining is the application of data mining techniques to discover patterns from the Web. Web services defines set of standards like WSDL(Web Service Description Language), SOAP(Simple Object Access Protocol) and UDDI(Universal Description Discovery and Integration) to support service description, discovery and invocation in a uniform interchangeable format between heterogeneous applications. Due to huge number of Web services and short content of WSDL description, the identification of correct Web services becomes a time consuming process and retrieves a vast amount of irrelevant Web services. This emerges the need for the efficient Web service mining framework for Web service discovery. Discovery involves matching, assessment and selection. Various complex relationships may provide incompatibility in delivering and identifying efficient Web services. As a result the web service requester did not attain the exact useful services. A research has emerged to develop method to improve the accuracy of Web service discovery to match the best services. In the discovery of Web services there are two approaches are available namely Semantic based approach and Syntactic based approach. Semantic based approach gives high accuracy than Syntactic approach but it takes high processing time. Syntactic based approach has high flexibility. Thus, this paper presents a survey of semantic based and syntactic based approaches of Web service discovery system and it proposed a novel approach which has better accuracy and good flexibility than existing one. Finally, it compares the existing approaches in web service discovery.

Simplifying the Web Service Discovery Process

One of the crucial reasons for adding semantic descriptions to Web services is to enable intelligent discovery, removing the need for a human to manually search and browse textual descriptions in repositories of services, like UDDI or ebXML. The Web Service Modeling Ontology (WSMO) provides a conceptual model within which the function of a Web service can be described in terms of formalized pre- and postconditions over the information space and assumptions and effects related to the real world; however WSMO is very flexible in the way in which the Semantic Web Service developer can use these elements to describe the functionality of a service. Thus a number of approaches for effectively describing the offered function of a Web service and the requirements of users, along with methods to compare them have surfaced in the last number of years, leaving developers unsure of which approach to use and if it is possible to combine them. In this paper we introduce a framework within which these different approaches can be combined and present some new tools that can be used with this framework by the Semantic Web Service developer.

Discovering Web Services Using Semantic Keywords

2007

With the increasing growth in popularity of Web services, the discovery of relevant services becomes a significant challenge. In order to enhance the service discovery is necessary that both the web service description and the request for discovering a service explicitly declare their semantics. Some languages and frameworks have been developed to support rich semantic service descriptions and discover using ontology concepts. However, the manual creation of such concepts is tedious and error-prone and many users accustomed to automatic tools might not want to invert his time in obtaining this knowledge.

An ontology-based mechanism for automatic categorization of web services

Concurrency and Computation: Practice and Experience, 2012

The addition of semantic information into Web services (WS) results in more accurate search and retrieval in service registries. The key issue to facilitate organization of services, taking into account their semantics, is the development of automatic mechanisms that generate appropriate mappings between Web service elements and their semantics-enabled counterparts. In this paper, we introduce an ontology-based mechanism for automatic semantic categorization of WS and their structural components. The presented approach, as opposed to similar ones, takes into account the lexicographic, structural, and data type characteristics of WS. Moreover, a software tool that implements the proposed service categorization mechanism is presented, and a benchmark process is executed that reveals outstanding performance of the developed mechanism in comparison with a relevant state-of-the-art approach.