Semi-automatic Web service generation and classification

This is an electronic version of the paper presented at the Semantic and Dynamic Web processes Workshop during the IEEE International Conference on Web Services, held in Orlando on 2005The convergence of semantic web techniques with web service technologies has enabled the emergence of so-called semantic web services. This new kind of services enacts the automatic manipulation of services by software programs, to perform tasks such as automatic service location, composition, and invocation. In this paper, we propose methods and techniques that enable the semi-automatic generation, deployment, semantic annotation and classification of web services

Integration via Meaning: Using the Semantic Web to deliver Web Services

Presented at the CRIS2002 Conference in Kassel.-- 9 pages.-- Contains: Conference paper (PDF) + PPT presentation.The major developments of the World Wide Web (WWW) in the last two years have been Web Services and the Semantic Web. The former allows the construction of distributed systems across the WWW by providing a lightweight middleware architecture. The latter provides an infrastructure for accessing resources on the WWW via their relationships with respect to conceptual descriptions. In this paper, I shall review the progress undertaken in each of these two areas. Further, I shall argue that in order for the aims of both the Semantic Web and the Web Services activities to be successful, then the Web Service architecture needs to be augmented by concepts and tools of the Semantic Web. This infrastructure will allow resource discovery, brokering and access to be enabled in a standardised, integrated and interoperable manner. Finally, I survey the CLRC Information Technology R&D programme to show how it is contributing to the development of this future infrastructure

Towards a Unifying View of QoS-Enhanced Web Service Description and Discovery Approaches

The number of web services increased vastly in the last years. Various providers offer web services with the same functionality, so for web service consumers it is getting more complicated to select the web service, which best fits their requirements. That is why a lot of the research efforts point to discover semantic means for describing web services taking into account not only functional characteristics of services, but also the quality of service (QoS) properties such as availability, reliability, response time, trust, etc. This motivated us to research current approaches presenting complete solutions for QoS enabled web service description, publication and discovery. In this paper we present comparative analysis of these approaches according to their common principals. Based on such analysis we extract the essential aspects from them and propose a pattern for the development of QoS-aware service-oriented architectures

Ontology-independent and QOS-enabled dynamic composition of web services in business domains

vii, 107 leaves : ill. ; 29 cm.Includes abstract.Includes bibliographical references (leaves 102-107).This thesis proposes a novel and high-performance ontology-independent approach and methods for Quality of Services (QoS)-enabled dynamic web services discovery and composition. One proposed method uses Google distance for calculating semantic similarities instead of using the state-of-the-art ontological-based approaches in the semantic matching stage. A further new method is architected for the QoS operational matching stage of web services discovery. Moreover, the thesis proposes a hybrid approach to dynamic web services composition, called FOIQOS, consisting of using a prescriptive system for web services discovery and composition. Another problem the thesis addresses is the absence of comparisons of existing QoS-enabled composition approaches in the literature. To compare the new methods proposed in the thesis, FOIQOS and three other approaches for QOS-enabled dynamic web services composition were implemented. Experimental results show that the proposed FOIQOS approach significantly outperforms its ontology-based and heuristic-based method counterparts, in terms of both increased accuracy and reduced overhead

A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0

Web 3.0 enables user-generated contents and user-selected authorities. With decentralized wireless edge computing architectures, Web 3.0 allows users to read, write, and own contents. A core technology that enables Web 3.0 goals is blockchain, which provides security services by recording content in a decentralized and transparent manner. However, the explosion of on-chain recorded contents and the fast-growing number of users cause increasingly unaffordable computing and storage resource consumption. A promising paradigm is to analyze the semantic information of contents that can convey precisely the desired meanings without consuming many resources. In this article, we propose a unified blockchain-semantic ecosystems framework for wireless edge intelligence-enabled Web 3.0. Our framework consists of six key components to exchange semantic demands. We then introduce an Oracle-based proof of semantic mechanism to implement on-chain and off-chain interactions of Web 3.0 ecosystems on semantic verification algorithms while maintaining service security. An adaptive Deep Reinforcement Learning-based sharding mechanism on Oracle is designed to improve interaction efficiency, which can facilitate Web 3.0 ecosystems to deal with varied semantic demands. Finally, a case study is presented to show that the proposed framework can dynamically adjust Oracle settings according to varied semantic demands.Comment: 8 pages, 5 figures, 1 tabl

Avalanche: putting the spirit of the web back into semantic web querying

Traditionally Semantic Web applications either included a web crawler or relied on external services to gain access to the Web of Data. Recent efforts have enabled applications to query the entire Semantic Web for up-to-date results. Such approaches are based on either centralized indexing of semantically annotated metadata or link traversal and URI dereferencing as in the case of Linked Open Data. By making limiting assumptions about the information space, they violate the openness principle of the Web - a key factor for its ongoing success. In this article we propose a technique called Avalanche, designed to allow a data surfer to query the Semantic Web transparently without making any prior assumptions about the distribution of the data - thus adhering to the openness criteria. Specifically, Avalanche can perform "live" (SPARQL) queries over the Web of Data. First, it gets on-line statistical information about the data distribution, as well as bandwidth availability. Then, it plans and executes the query in a distributed manner trying to quickly provide first answers. The main contribution of this paper is the presentation of this open and distributed SPARQL querying approach. Furthermore, we propose to extend the query planning algorithm with qualitative statistical information. We empirically evaluate Avalanche using a realistic dataset, show its strengths but also point out the challenges that still exist

Publication and Discovery of Semantically Annotated Geospatial Web Services

Proceedings of the 26th International Conference on Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, August 29 - 31, 2012 Umweltbundesamt DessauEnvironmental information and services have become a crucial asset in the creation of decission support systems. Unfortunately, this information and services are not usually exposed in an interoperable and standard way, limiting their reusability and impact in the community. Publishing and discovering geospatial information and services on the Web is therefore an important challenge in order to create a breeding ground for collaboration and more sophisticated environmental platforms. Based on common standards defined by the Open Geospatial Consortium (OGC) as the starting point to ensure interoperability, we propose a discovery mechanism based on semantic annotations. OGC service descriptions are annotated with SAWSDL and linked to concepts in domain ontologies, following a common semantic service model. We seamlessly integrate the semantics in the standard OGC discovery infrastructure, extending the CSW service catalogues with semantic publication and discovery. Semantics queries can be created based on formal languages like WSML, significantly improving the precission of discovery. In this paper we present our approach, which provides a semantic infrastructure for publication and discovery of environmentally enabled web services

Prototype semantic infrastructure for automated small molecule classification and annotation in lipidomics

<p>Abstract</p> <p>Background</p> <p>The development of high-throughput experimentation has led to astronomical growth in biologically relevant lipids and lipid derivatives identified, screened, and deposited in numerous online databases. Unfortunately, efforts to annotate, classify, and analyze these chemical entities have largely remained in the hands of human curators using manual or semi-automated protocols, leaving many novel entities unclassified. Since chemical function is often closely linked to structure, accurate structure-based classification and annotation of chemical entities is imperative to understanding their functionality.</p> <p>Results</p> <p>As part of an exploratory study, we have investigated the utility of semantic web technologies in automated chemical classification and annotation of lipids. Our prototype framework consists of two components: an ontology and a set of federated web services that operate upon it. The formal lipid ontology we use here extends a part of the LiPrO ontology and draws on the lipid hierarchy in the LIPID MAPS database, as well as literature-derived knowledge. The federated semantic web services that operate upon this ontology are deployed within the Semantic Annotation, Discovery, and Integration (SADI) framework. Structure-based lipid classification is enacted by two core services. Firstly, a structural annotation service detects and enumerates relevant functional groups for a specified chemical structure. A second service reasons over lipid ontology class descriptions using the attributes obtained from the annotation service and identifies the appropriate lipid classification. We extend the utility of these core services by combining them with additional SADI services that retrieve associations between lipids and proteins and identify publications related to specified lipid types. We analyze the performance of SADI-enabled eicosanoid classification relative to the LIPID MAPS classification and reflect on the contribution of our integrative methodology in the context of high-throughput lipidomics.</p> <p>Conclusions</p> <p>Our prototype framework is capable of accurate automated classification of lipids and facile integration of lipid class information with additional data obtained with SADI web services. The potential of programming-free integration of external web services through the SADI framework offers an opportunity for development of powerful novel applications in lipidomics. We conclude that semantic web technologies can provide an accurate and versatile means of classification and annotation of lipids.</p