Towards a Data Warehouse Fed with Web Services

With the increasing number of Web services, the Semantic Web research community is moving toward enhancing procedures so that clients may effectively discover appropriate Web services that maximally satisfy not only functional but also non-functional requirements. Using purely syntactic approaches to discover Web services has limited efficiency. Therefore, semantic matchmaking registries can play an important role in providing better results. However, most of the semantic registries make decisions based on only functional requirements. Due to the proliferation of Web services that have similar functionality, there is a need to further filter Web services according to Quality of Service (QoS) specifications. This work introduces a rich QoS ontology inspired from the World Wide Web Consortium that defines relationships among QoS attributes. The QoS attributes defined here are mainly used to define network related characteristics. However, the work can be extended by defining QoS ontologies for other domains. Additionally, we extend the test collection OWLS-TC according to the QoS ontology. The extension is intended to integrate quantified values for QoS attributes into Web service descriptions. A matchmaking algorithm based on similarity measurements is presented. Moreover, deterministic and adaptive parameter control techniques are introduced to guide the requester, when needed, to adjust QoS specifications so better similarity can be achieved. Parameter control algorithms integrate Pellet, an OWL reasoner, to reason about dependencies among QoS concepts in the QoS ontology.

Web service architectures have gained popularity in recent years within the scientific grid research community. One reason for this is that web services allow software and services from various organizations to be combined easily to provide integrated and distributed applications. However, most applications developed and used by scientific communities are not web-service-oriented, and there is a growing need to integrate them into grid applications based on service-oriented architectures. In this paper, we describe a framework that allows scientists to provide a web service interface to their existing applications as web services without having to write extra code or modify their applications in any way. In addition, application providers do not need to be experts in web services standards, such as Web Services Description Language, Web Services Addressing, Web Services Security, or secure authorization, because the framework automatically generates these details. The framework also enables users to discover these application services, interact with them, and compose scientific workflows from the convenience of a grid portal.

A Web service is a software system that supports interoperable application-to-application interactions over a network. Web services are based on a set of XML standards such as Universal Description, Discovery and Integration (UDDI), Web Services Description Language (WSDL), and Simple Object Access Protocol (SOAP). Recently, there have been increasing demands and discussions about Web services privacy technologies in the industry and research community. To enable privacy protection for Web service consumers across multiple domains and services, the World Wide Web Consortium (W3C) published a document called “Web Services Architecture (WSA) Requirements” that defines some fundamental privacy requirements for Web services. However, no comprehensive solutions to the various privacy issues have been so far defined. For these reasons, this chapter will focus on privacy technologies by first discussing the main privacy issues in WSA and related protocols. Then, this chapter illustrates the standardization efforts going on in the context of privacy for Web services and proposes different technical approaches to tackle the privacy issues.

Data warehouses integrate and aggregate data from various sources to support decision making within an enterprise. Usually, it is assumed that data are extracted from operational databases used by the enterprise. Web warehousing relaxes this view permitting data sources to be located anywhere on the world-wide web. In this paper we even go one step further and propose that web warehousing should exploit data-intensive web services. For this we adopt the view of the recently introduced model of abstract state services (ASSs). An ASS combines a hidden database layer with an operation-equipped view layer, and can be anything from a simple function to a full-fledged Web Information System, thus provides an abstraction of web services that can be made available for use by other systems, e.g. via the web. We demonstrate how data warehouses and OLAP systems can be considered in a natural way as ASSs, i.e. selected data and functionality of a data warehouse may be made available in the form of a generalised web service, and consequently ASS composition can be used for web warehousing. In order to become workable the model of ASSs has to be extended in a way that allows services to be searched for. For this we propose federations of services together with an ontology that specifies their semantics.

A Web-Based Perioperative Dashboard as a Platform for Anesthesia Informatics Innovation.

The term "middleware" is used to identify software services and products that enable an integration communication model between application, data, business process, and web services especially in heterogeneous environments to be created and supported. In this paper, I propose that the enterprise service bus (ESB) middleware under the service-oriented architecture (SOA) can enable communication between the front and back-end layers of SOA integration that connects users with a data management layer. Including in this data management layer is a near-real-time data warehouse in addition to routing, security, message processing, and modeling capabilities. An ESB is one platform that helps achieve and support enterprise-wide SOA. The main issue to be addressed is the provision of access to a company-wide view of data wherever it resides. This is accomplished by building the SOA integration on top of the data warehouse. This will also use ESB middleware for integration solutions for existing applications and new business processes, along with the ability to pass data to any integration level. Most companies in the 21st century face increasing challenges to stay competitive, and accessibility and accuracy of information have become critical success factors. The traditional role of a data warehouse has been to support strategic decision making. This role has expanded to include more critical business tasks that support both strategic decisions and operational business processes. ESB has become an important part of the architectural framework for a business intelligence solution and is considered a critical component in the architecture of advanced near-real-time data warehouses.

Marine environmental information is the main decision-making basis on ocean development, marine environmental protection and marine management. With the rapid development of ocean science technology and requirement of ocean application, human beings are more relay on the marine environmental information, and the requirement for the management and service on marine environmental information becomes higher and higher. SOA (Service Oriented Architecture) encapsulate information in the shape of service, now is the one of the most concernful themes in the IT field, and is the trend for marine data information construction. This article recommends the concept and technology of data warehouse, SOA and Web Service, does deep research on the traditional data warehouse architecture and the features of current marine heterogeneous data informatization, does analysis on the status and existing problems of marine data warehouse, and proposed a information integration architecture strategy based on SOA and marine environmental data warehouse.

Accurate and descriptive information from clinical studies guides improvements in health care. Clinical guidelines established by authoritative medical organizations provide such information in a standard form for medical professionals' reference. Previous work on electronically sharing clinical guidelines focuses on the idea of building unified clinical terminologies and sharing resources through centralized data repositories. In this paper we propose a novel five-layer framework called the Extensible Clinical Guidelines and Services Sharing Architecture (ECGSSA). This framework provides for clinical guideline sharing among autonomous service providers over a distributed architecture. Requests for exchange of guidelines are disseminated through Web Services through a registry mechanism. Currently we have adopted the Guideline Interchange Format (GLIF) from InterMed as the representation format and use the Open Grid Services Architecture (OGSA) to attain virtual organization of shared guideline and service resources. This approach will allow more flexibility for medical professionals to exchange their practice guidelines in an effort to improve quality of health care. Also, it extends the possibility of solving clinic-related computational problems through collaborative sharing of analytical services. A sample scenario is presented to explain the application of ECGSSA in distributed task assignment and service matching in medical image processing.

Information in government sector is increasing day by day. The government is providing its citizens e-services which are getting cluttered and difficult to use and consume by the citizens of the country. Information redundancy is becoming a critical topic for all the governmental transactions and thus overloading the databases and the information pool. In this research we focus on creating an architecture for optimizing the information flow within the governmental database schemas which will pull and push information as and when required by the services. We will be designing web services which will act as tuners and transmitters that pull and push data from the data warehouse and transmit the required data to the requesting web services. Thus reducing the amount of information redundancy in the warehouse. We will be creating optimization web services which will inform us about information redundancy in the e-government services. Thus by doing so we improve the throughput and efficiency of the e-government system.

The proliferation of projects that are part of the semantic Web is truly impressive. In fact, ontologies become increasingly present in information systems, they constitute great data sources that arouse the interest of being analyzed. Ontologies are used for standardizing, structuring and formalizing the Web, Web Service, E-learning systems, and other fields. Regarding multidimensional approaches, researches in this field have focused on direct Data Warehouse conception from an ontology, which do not integrate the intervention of the expert in this process. In this case, the transformations are global and not very customizable; it can reproduce the inherent defects from the data sources into the resulting data warehouse. In this paper, we propose a new multi-approach model based on the coupling of relational database design approaches from an ontology with Data Warehouse design approaches from a relational database. Our model is semi-automatic allowing Data Warehouse design from an ontology by giving the designer more ability to intervene in this process and closely control the transformations. To assess the usefulness of our approach, we evaluated it by applying it on an example case study. The results of the example show that our approach is more accurate in terms of useful data filtering and adaptation of the multidimensional model to the end-users business-needs.

Designing data warehouse of genomic plant is different compared to business data warehouse. Due to the development of biological science today that leads to other scientific field such as bio-technology, bio-chemistry, bio-science and bio-informatics. For that required framework design in accordance with the development of scientific genomic plants. This paper uses a literature review approach to research published in 2002–2017. The reference chosen for the systematic literature review are EBSCO, Science Direct, Emerald Insight and Proquest. Through literature research has been tested as many as 77 papers from all sources related to the criteria, then obtained as study candidate of 30 papers based on title and abstract relevance based on research questions. After further investigation, there are only 19 papers that can be used in this paper. The result shows that the variable of framework for the genome data warehouse plant are Construction & Content and Search, that component consisting of Data Source, Data Model, Data Integration, Visualization, Data Schema, Data Mining, DNA Extraction, Web Services, Data Projection, Data Template-Import Tool-Web Interface and Display Format,-Filter-Further Analysis. While search component obtained search Sequence, Keyword and Query Builder, Region, Unstructured Keyword and Structured Text Search.

Commercial OLAP systems usually consider OLAP dimensions as static entities. In practice, dimension updates are often necessary in order to adapt the multidimensional database to changing requirements. Query languages are then needed to retrieve historical information from a data warehouse. Although many proposals addressing temporal OLAP exist, none supports full operation over the World Wide Web. After introducing a temporal data model supporting historical dimensions and fact table versioning, we present a three-tier architecture based on web services, SOAP and XML, allowing efficient querying over the web. In this architecture, XML metadata is stored at the application server in the form of XML documents containing the data warehouse structure. This allows addressing most of the requests (navigation through time, updates and queries) without accessing the data warehouse. In the second part of the paper, we present TOLAP-QL, an SQL-like temporal query language. We describe the syntax and semantics of the language, a sequel of its logic-based predecessor, TOLAP. We study query optimisation in temporal OLAP, and introduce a technique based on materialisation of historical views. Last, but not least, we present a system implementation, and a real-world case study, that shows that our proposal achieves good query performance for OLAP queries over large historical databases in a web environment.

Web service adaptation is an important feature for mission critical Web services. It is widely recognized that thrashing and crashes occur in system saturation for many statically adaptive resource management algorithms, including CPU, memory, and network congestion. Service adaptation supports alternative responses to saturation control, maintaining service and server system stability and progress, instead of thrashing. In this paper, we present a design framework for developing adaptive web services. The core of this framework is the adaptation space model, which is based on the concepts of adaptation space and adaptation case. An adaptation space is defined by a use context and a partial order of adaptation cases. Each adaptation case describes a specific adaptation of a program or component of a web service. There are three main thrusts of the adaptation space approach. First, it defines a multi-dimensional adaptation context for capturing and coordinating different kinds of adaptation at different levels of a web service. Second, it provides a uniform way for representing and viewing a collection of alternative adaptations for a given web service component. Third, it promotes a declarative and incremental approach to adaptation specification, allowing the incorporation of new adaptation behavior of a web service in terms of existing adaptation cases. We evaluate the adaptation space approach using Ginga, an adaptive query processing service for handling queries over multiple data sources with diverse capabilities across the Internet. Our experimental results show that Ginga query adaptation can achieve significant performance improvements (up to 40% of response time gain) for processing distributed queries over the Internet in the presence of end-to-end delays.

Web services constitute the most prevailing instantiation of the service-oriented computing paradigm. Recently however, representatives of other computing technologies, such as peer-to-peer (p2p), have also adopted the service-oriented approach and expose functionality as services. Thus the service-oriented community could be greatly assisted, if these heterogeneous services were integrated and composed. A key towards achieving this integration is the establishment of a unified approach in service discovery. In this paper, we describe some features of a unified service query language and focus on its associated engine, which is used to discover web and p2p services in a unified manner. We exemplify how our unified approach is applied in the case of web and p2p service discovery in UDDI and JXTA, respectively. Additionally, we demonstrate how our service search engine is able to process heterogeneous service advertisements and thus to exploit the advertised syntactic, semantic, and quality-of-service properties during matchmaking.

Primarily driven by current advances in web, web service and sensors technologies, and the expressed needs from geospatial and broader communities, the webbased sensors and geoprocessing service fields have evolved rapidly over the last 10 years. Geoprocessing services greatly facilitate the process of transforming geospatial data to geoinformation, exposing the powerful analytic capability of geographic information system (GIS) and empowering the public in today’s “electronic” decision-making over the worldwide web, particularly within spatial data infrastructure frameworks, through service composition, utilization of advanced grid/cloud computing, and well-designed client-side applications. The research topics and issues range from discovery, accessibility, usability to interoperability, which require standards support, and cooperation among academia, industry, government, commercial, and open source communities. This special issue builds on the extended version of seven papers selected from the papers submitted to the first International Workshop on Pervasive Web Mapping, Geoprocessing and Services, which was successfully held on the Politecnico di Milano campus in Como, Italy fromAugust 26 to 27, 2010. The workshop was organized by ISPRS WG IV/5 on “Distributed, Web-based Geoinformation Services and Applications” and Politecnico di Milano, and coorganized by ISPRS WG WG IV/1 on “Geospatial Data Infrastructure”, WG IV/4 on “Virtual Globes and Context-Aware Visualization”, and ICWG IV/II on “Geo-Sensor Networking and GEOGRID”. The main theme of the workshop focused on Sensor Web Enablement and Geoprocessing Services. Some of the particular topics and issues addressed in the technical sessions included (full papers are available at http://www.isprs.org/ proceedings/XXXVIII/4-W13/):