Analyzing Distribution of Implicit Semantic Information in Web Services

The Web, as we know it, is a collection of human readable pages that are virtually unintelligible to computer programs. For that reason, it has been called the “eyeball” Web. While the Web emerged as a World Wide repository of digitized information, by and large, the very same information is not available for automatic computation. In recent years two parallel efforts emerged that have the potential of overcoming this paradox: the first effort is the Semantic Web which provides the tools for the explicit markup of the content of Web pages; the second effort is the development of Web Services which results in a Web where programs act as independent agents to become the producers and consumers of information and enable automation of business transactions.In this talk I will focus on research that attempts to bridge the gap between the Web as we know it, the Semantic Web and Web services. Under this approach, I propose the vision of Web services as autonomous goal-directed agents which select other agents to interact with, and flexibly negotiate their interaction model, acting at times in client server mode, or at other times in peer to peer mode. The resulting Web services, that I call Autonomous Semantic Web services, utilize ontologies and semantically annotated Web pages to automate the fulfillment of tasks and transactions with other Web agents. In particular, Autonomous Semantic Web services use the Semantic Web to support capability based discovery and interoperation at run time. A first step towards this vision is the development of formal languages and inference mechanisms for representing and reasoning with core concepts of Web services. DAML-S (the Darpa Agent Markup Language for Services) is the first attempt to define such a language. I will give a brief overview of DAML-S and its relations with the Semantic Web and Web services. In addition, I will provide concrete examples of computational models of how DAML-S can be viewed as the first step in bridging the gap between the Semantic Web and current proposed industry standards for Web services. I will provide concrete examples of DAML-S in action, discuss challenges still open in the bridging between the Semantic Web and Web services and provide a roadmap to get us from today’s Web to the Web of autonomous Semantic Web services.KeywordsFormal LanguageCore ConceptDigitize InformationAutomatic ComputationBusiness TransactionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Business Process Execution Language (BPEL) has been popularly used to describe a collaborative business processes which is executed by Web services. However, the original BPEL language is defined in a strict format which the developers must follow. This leads to difficulties to create or modify the BPEL documents. In order to overcome the problem, the original BPEL has been extended to an annotated-BPEL so that BPEL documents can be freely modified. One of the applications of annotated-BPEL is that it is employed to describe "request" Web service information. Since Web service discovery systems may support different Web service description languages, annotated BPEL must be translated into specific description languages so that it can be readable and understood. This paper introduces a system that generates "request" Web services from the annotated BPEL. The system supports the two most popular Web services description languages, namely, OWL-S and WSDL. The description is first translated into OWL-S since it contains semantics in describing the service. This is done by searching 'the best matched' OWL concepts in a OWL repository and then filling these concepts into an predefined OWL-S template. If we cannot find any suitable concepts, a WSDL document will be generated.

Web services (WS) are manually mediated with phases such as discovery, selection, composition and invocation. WS uses syntactic description available in WSDL, which are human understandable. WS discovery and selection is made through keyword matching that produces unrelated WS, which raises the problem of finding the exact WS. To overcome this issue the search can be made to produce related web services semantically for which WS should present as semantic web service (SWS). For this human understandable description should be changed into machine understandable description. In the current Web the availability of WS is more populated than SWS, which is described in OWL-S. There is a need for transformation from WS into SWS and this paper proposes a framework for conversion. The WSDL document has two types such as simple and complex. During this conversion simple type remains unchanged, because of attribute element names and complex type contains elements values that are converted into OWL-S. The conversion is implemented and evaluated. The result outperforms the similar conversion method.

Summary form only given. The emerging concept of semantic Web services aims at more sophisticated Web Service technologies: on basis of semantic description frameworks, intelligent mechanisms are envisioned for discovery, composition, and contracting of Web services. The tutorial explains the current state of the art in semantic Web services on basis of the Web service modeling ontology WSMO and related initiatives. Commencing from the vision and arising challenges for semantic Web services, the tutorial in detail explains the specifications of recent frameworks for semantic Web services and presents the Web service execution environment WSMX as the WSMO reference implementation. The tutorial consists of three main sections that subsequently provide a complete overview of semantic Web services and the latest status of WSMO. The tutorial addresses academic as well as industrial researches and developers that are working with Web services and are interested in semantic Web services.

Services are an increasingly important part of the Web, and they are a necessary component of the Semantic Web. Semantic Web Services (SWS) are a research effort towards automation of the use of Web services, enhancing existing SOA capabilities with intelligent and automated integration. Recently, we have introduced WSMO-Lite, a lightweight service ontology intended for semantic annotations of the Web Service Description Language WSDL. In contrast to preceding SWS frameworks such as OWL-S and WSMO, WSMO-Lite simplifies the semantic descriptions and enables bottom-up semantic annotation of Web services, but very importantly, it also relaxes the requirements on completeness of semantic descriptions, which enables building incremental layers of semantics on top of existing service descriptions. In this work, we describe various useful subsets of the extent of semantic annotation on Web services with respect to the requirements of SWS automation tasks; and we detail the means of validating SWS descriptions with flexible levels of strictness.

Network representation aims to learn low-dimensional vector representations of network nodes while preserving the inherent properties of the network. For all its popularity, majority of the existing methods focus on exploitation of diverse information, including network topology and semantic information on nodes of network, and ignore their implicit semantics. For example, we all know the saying that birds of a feather flock together. More concretely, semantic information of one node can be influenced by its neighbors' semantic information. Furthermore, even two nodes are not directly connected, they may have similar implicit semantic information (i.e., high-order semantic proximity). Thus, they should be close in the represented vector space. To this end, we propose a Deep Semantic Network Representation approach (DSNR) in the self-translation framework from sequence to sequence. To excavate the implicit semantic information of nodes and capture the high-order semantic proximity, three key components make our approach effective, i.e., aggregation of nodes neighbors' semantic information and enhancement to the semantic feature representations of nodes by a deep autoencoder, integration of nodes semantic information in node identity sequence to generate node semantic sequence, and translation from node semantic sequence to node identity sequence to capture the high-order semantic proximity in an attention-enhanced seq2seq framework. Extensive experiments based on three real-world datasets have verified the effectiveness of our proposed approach11Code is available at https://github.com/DASE4/DSNR.

Web service is a technological solution for software interoperability that supports the seamless integration of diverse applications. In the vision of web service architecture, web services are described by the Web Service Description Language (WSDL), discovered through Universal Description, Discovery and Integration (UDDI) and communicate by the Simple Object Access Protocol (SOAP). Such a divination has never been fully accomplished yet. Although it was criticized that WSDL only has a syntactic definition of web services, but was not semantic, prior initiatives in semantic web services did not establish a correct methodology to resolve the problem. This paper examines the distinction and relationship between the syntactic and semantic definitions for web services that characterize different purposes in service computation. Further, this paper proposes that the semantics of web service are neutral and independent from the service interface definition, data types and platform. Such a conclusion can be a universal law in software engineering and service computing. Several use cases in the GIScience application are examined in this paper, while the formalization of geospatial services needs to be constructed by the GIScience community towards a comprehensive ontology of the conceptual definitions and relationships for geospatial computation. Advancements in semantic web services research will happen in domain science applications.

An weighted ontology-based semantic similarity algorithm for web service

Semantic Web Services are the key technology providing services for the users' convenience in the semantic web environment. Many companies in various fields are researching and developing languages for constructing Semantic Web Services such as DAML-S, WSDL, X-LANG and BPEL4WS. DAML-S is a method that accesses the existing Web Service method from a semantic web environment. However, the current Semantic Web Services Discovery System does not provide sufficient processing of quality factors (performance, accessibility, availability, reliability and transaction) nor reliable and accurate service results desired by the user through a UDDi search method. The present study analyzes the disadvantages of the current web services and suggests a Semantic Web Services Discovery System based on QoS applying semantic web technologies as a solution to the problems. The suggested system provides a UDDi and DAML-S based discovery engine to allow efficient web service discovery and composition.

SummaryThe field of Semantic Web Services (SWS) has been recognized as one of the most promising areas of emergent research within the Semantic Web initiative, exhibiting an extensive commercial potential and attracting significant attention from both industry and the research community. Currently, there exist several different frameworks and languages for formally describing a Web Service: Web Ontology Language for Services (OWL‐S), Web Service Modelling Ontology (WSMO) and Semantic Annotations for the Web Services Description Language (SAWSDL) are the most important approaches. To the inexperienced user, choosing the appropriate platform for a specific SWS application may prove to be challenging, given a lack of clear separation between the ideas promoted by the associated research communities. In this paper, we systematically compare OWL‐S, WSMO and SAWSDL from various standpoints, namely, that of the service requester and provider as well as the broker‐based view. The comparison is meant to help users to better understand the strengths and limitations of these different approaches to formalizing SWS, and to choose the most suitable solution for a given application. Copyright © 2015 John Wiley & Sons, Ltd.

Description logic is used as the formal theoretical foundation of semantic web services, the paper analyzed description language of Semantic Web Services OWL-S, WSDL-S, WSML and SWSL. Give a formal definition of description about semantic web services, further Web services is interpreted with the semantic of description logic. The satisfiability and subsumption in description logic can be applied to inferring semantic web services. For further research semantic annotation of web services, relation between web services and services, reasoning problems for semantic web services, our work was important and fundamental.

Ontology makes traditional web service to be semantic web services, where semantic annotation can be employed to discover, reason and composite web services semantically. The construction of ontology is a key factor to implement semantic web service applications. Traditionally, ontology is constructed and maintained by domain experts with considerable effort, which is difficult to proceed in an engineering way and to reuse existing domain knowledge. In this paper, we propose to use the ER model, which is widely employed in database management, to construct domain ontology and semantic web services efficiently and effectively.

The Web Services technology failed to meet its promises of fully automating the communication between applications. It necessitated human intervention in the selection and invocation of the most appropriate web service. The Web Service Modeling Ontology (WSMO) and the Web Service Modeling eXecution environment (WSMX) are two initiatives claiming to be supporting the Semantic Web Services technology, which promises the automation of the whole communication process including these two steps. The paper tested validity of the initiatives' claim by using them to develop a Semantic Web Service (SWS) for accessing the publications of the German University in Cairo (GUC). The results showed that the initiatives were able to meet the Semantic Web Services' promises and automate the selection and the invocation of the most matching Web Service.

Through providing an execution environment for semantic web services, SWSF (Semantic Web Service Framework) can facilitate automatic web service delivery, discovery, selection, invoking, composition and interoperation. However, each of those ongoing approaches does not satisfy all basic requirements of SWSF, e.g. OWL-S (Ontology Language of Web Service) does not offer the mechanism for automatic web service tasks' execution and WSMO can not describe the composition of web services in a structural way yet. So, in order to provide a fully- fledged SWSF, we present the ISCF (Integrated Service Composition Framework) which is based on the OAA (Open Agent Architecture ). We describe the technical characters and design objectives of ISCF from global and detailed view. Comparing with other SWSFs, ISCF has more extensible and autonomous distributed architecture, and has more complete and effective web service automatization. In addition, ISCF provide some useful tools to help users design semantic web services and manage ISCF system.

Web services are becoming an important enabler of the semantic Web. Besides the need for a rich description mechanism, Web service information should be made available in an accessible way for machine processing. In this paper, we propose a new P2P based approach for Web services discovery. Peers that store Web services information, such as data item descriptions, are efficiently located using a scalable and robust data indexing structure for peer-to-peer data networks, NIPPERS. We present a theoretical analysis which shows that the communication cost of the query and update operations scale double-logarithmically with the number of NIPPERS nodes. Furthermore, we show that the network is robust with respect to failures fulfilling quality of Web services requirements.