The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation

Background. 
The complexity and inter-related nature of biological data poses a difficult challenge for data and tool integration. There has been a proliferation of interoperability standards and projects over the past decade, none of which has been widely adopted by the bioinformatics community. Recent attempts have focused on the use of semantics to assist integration, and Semantic Web technologies are being welcomed by this community.

Description. 
SADI – Semantic Automated Discovery and Integration – is a lightweight set of fully standards-compliant Semantic Web service design patterns that simplify the publication of services of the type commonly found in bioinformatics and other scientific domains. Using Semantic Web technologies at every level of the Web services “stack”, SADI services consume and produce instances of OWL Classes following a small number of very straightforward best-practices. In addition, we provide codebases that support these best-practices, and plug-in tools to popular developer and client software that dramatically simplify deployment of services by providers, and the discovery and utilization of those services by their consumers.

Conclusions.
SADI Services are fully compliant with, and utilize only foundational Web standards; are simple to create and maintain for service providers; and can be discovered and utilized in a very intuitive way by biologist end-users. In addition, the SADI design patterns significantly improve the ability of software to automatically discover appropriate services based on user-needs, and automatically chain these into complex analytical workflows. We show that, when resources are exposed through SADI, data compliant with a given ontological model can be automatically gathered, or generated, from these distributed, non-coordinating resources - a behavior we have not observed in any other Semantic system. Finally, we show that, using SADI, data dynamically generated from Web services can be explored in a manner very similar to data housed in static triple-stores, thus facilitating the intersection of Web services and Semantic Web technologies

Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review

Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typically used for large-scale integration and analysis of data using graph-based data models. One of the central concepts in this area is the Semantic Web, with the vision of providing a well-defined meaning to information and services on the Web through a set of standards. Particularly, linked data and ontologies have been quite essential for data sharing, discovery, integration, and reuse. In this paper, we provide a systematic literature review on knowledge graph creation from structured and semi-structured data sources using Semantic Web technologies. The review takes into account four prominent publication venues, namely, Extended Semantic Web Conference, International Semantic Web Conference, Journal of Web Semantics, and Semantic Web Journal. The review highlights the tools, methods, types of data sources, ontologies, and publication methods, together with the challenges, limitations, and lessons learned in the knowledge graph creation processes.publishedVersio

Data mediation to message level conflict in heterogeneous web services

Enterprise Information Systems (EISs) are built in isolated and independent environments leading to unpredictable and incompatible structure of data stores. An EI system can expose its functionalities as Web services to share resources of existing global internet infrastructure. The goal of this research paper is to facilitate inter-operation between Web services. Successful and reliable information (message) exchange between Web services is necessary to meet the current challenge of Enterprise Information Integration (EII). A real-\ud world business process, which consists of Web services WS1 and WS2, can be used as a practical scenario for data or message exchange between Web services. In this scenario, message is exchanged by using output of WS1 as input of WS2. If data format of WS1 and WS2 are heterogeneous or incompatible, interoperation between them is impossible if data mediation is not used to resolve message level conflict and incompatibility in the context of syntax and semantics. Data Mediation requires mapping a message from one format to another. We propose to derive a mediation technique that will enable previously less inter-operative heterogeneous Web services to become more inter-operative now. To improve inter-operational performance between Web services our data mediation approach extends and utilizes existing Web service supporting tools WSDL and SAWSDL. (Authors' abstract

Context-driven policy enforcement and reconciliation for Web services

Security of Web services is a major factor to their successful integration into critical IT applications. An extensive research in this direction concentrates on low level aspects of security such as message secrecy, data integrity, and authentication. Thus, proposed solutions are mainly built upon the assumption that security mechanisms are static and predefined. However, the dynamic nature of the Internet and the continuously changing environments where Web services operate require innovative and adaptive security solutions. This paper presents our solution for securing Web services based on adaptive policies, where adaptability is satisfied using the contextual information of the Web services. The proposed solution includes a negotiation and reconciliation protocol for security policies

The Web Data Commons Structured Data Extraction

More and more websites annotate their content using different markup formats. These annotations involve a large number of topics such as persons, events, products, hotels, organizations and cities. The purpose of embedding structured data in HTML pages is to make the content of those pages understandable to web applications. In this way, the retrieval and integration of data deriving from different web pages is greatly facilitated. The presented poster gives an overview of the Web Data Commons - structured data project for the year 2016. The Web Data Commons project extracts structured data from the web corpus provided by Common Crawl, the largest public web corpus, and offers the extracted data for public download. In order to process these huge amounts of data, Web Data Commons builds upon its Extraction Framework and the Amazon Web Services

DESIGN AND IMPLEMENTATION OF WEB SERVICES FOR THE INTEGRATION OF INFORMATION SYSTEMS FOR THE DISTRIBUTION OF COVID-19 CASES

Several terms are used by the Government to collect data on the spread of covid-19's cases, namely People Under Surveillance (ODP), Patients Under Supervision (PDP), dead and positively infected. The Aceh government provides information on the spread of the covid-19 case through the official website media. Data of the cases are displayed daily based on the reports from districts / cities. District / city governments provide information based on reports from hospitals, health centers and from existing posts in each village. The unavailability of a data collection information system that can be used jointly in recording the spread of Covid-19 cases can lead to data duplication, because data collection is carried out according to individual needs. To overcome this problem, it is necessary to design and build a dissemination information system that can be used jointly between the village posts, sub-district offices, community health center (puskesmas) and hospitals. This research produces a website-based information system prototype for data collection on the spread of Covid-19 cases and API data services in the form of REST web services. Web Services are built using REST web services that generate request and response data using the JSON data format. The web services built can be used for integration with district / city and provincial government information systems, so that data changes can occur in real time

Implementing Medical Business Processes Integrating Server Technologies

In this paper we describe a BPM solution implemented by integrating server technologies in a SOA manner. Our solution empowers healthcare workers to more efficiently and effectively create clinical forms and contribute in clinical business processes. The clinical forms are XML documents created either using a special editor or web forms. Shared access and document management facilities are supported via the SharePoint services while business processes management is driven by the BizTalk server. The integration between servers and components is realized via Web Services, adapters, and event handlers. The core logic behind business processes is implemented via BEPL constructs that obtain clinical forms, perform the requested data transformations, store data into the database, and push forms further into business processes. Event handlers receive forms from processes and, according to the routing information, deliver them to recipients. Web services provide SOA glue and lookups