Toward the automation of business process ontology generation

Semantic Business Process Management (SBPM) utilises semantic technologies (e.g., ontology) to model and query process representations. There are times in which such models must be reconstructed from existing textual documentation. In this scenario the automated generation of ontological models would be preferable, however current methods and technology are still not capable of automatically generating accurate semantic process models from textual descriptions. This research attempts to automate the process as much as possible by proposing a method that drives the transformation through the joint use of a foundational ontology and lexico-semantic analysis. The method is presented, demonstrated and evaluated. The original dataset represents 150 business activities related to the procurement processes of a case study company. As the evaluation shows, the proposed method can accurately map the linguistic patterns of the process descriptions to semantic patterns of the foundational ontology to a high level of accuracy, however further research is required in order to reduce the level of human intervention, expand the method so as to recognise further patterns of the foundational ontology and develop a tool to assist the business process modeller in the semi-automated generation of process models

Embracing Automation: Boosting Productivity and Efficiency in the Tech Sector

Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThis project explores the implementation of process automation within a tech company to streamline and optimize the Sev ABC Rota process, which involves the manual handling of critical support tickets. The current manual system poses challenges such as data entry errors, time consumption, and delays in system updates, necessitating the urgent need for automation. Power Automate, along with connectors like Excel, Outlook, Teams, and SharePoint, is utilized to automate the Sev ABC Rota process. The automation includes creating and updating data in a SharePoint list, removing engineers from the daily queue, sending email notifications, and creating a Teams group chat. The choice of Power Automate is based on its no-code functionality and compatibility with Microsoft connectors, ensuring simplicity, time savings, and increased productivity. The paper discusses the benefits and challenges of process automation and automated workflows, emphasizing their impact on productivity, cost reduction, accuracy, and customer satisfaction. Various metrics and assessment techniques, including cycle time, throughput, error rates, cost savings, and customer satisfaction, are proposed to evaluate the effectiveness of automated workflows. Additionally, emerging trends in automation, such as the combination of cognitive technologies, adoption of intelligent automation, cloud computing, and low code/no-code platforms, are discussed. The importance of change management and employee engagement in successful automation implementation is highlighted, emphasizing the need for a culture of ongoing learning and collaboration. Overall, this paper provides insights into the implementation and evaluation of process automation in the tech industry, offering a roadmap for organizations seeking to enhance efficiency and optimize operations

Planets: Integrated Services for Digital Preservation

The Planets Project is developing services and technology to address core challenges in digital preservation. This article introduces the motivation for this work, describes the extensible technical architecture and places the Planets approach into the context of the Open Archival Information System (OAIS) Reference Model. It also provides a scenario demonstrating Planets’ usefulness in solving real-life digital preservation problems and an overview of the project’s progress to date

Designing an automated prototype tool for preservation quality metadata extraction for ingest into digital repository

We present a viable framework for the automated extraction of preservation quality metadata, which is adjusted to meet the needs of, ingest to digital repositories. It has three distinctive features: wide coverage, specialisation and emphasis on quality. Wide coverage is achieved through the use of a distributed system of tool repositories, which helps to implement it over a broad range of document object types. Specialisation is maintained through the selection of the most appropriate metadata extraction tool for each case based on the identification of the digital object genre. And quality is sustained by introducing control points at selected stages of the workflow of the system. The integration of these three features as components in the ingest of material into digital repositories is a defining step ahead in the current quest for improved management of digital resources

GRIDCC: Real-time workflow system

The Grid is a concept which allows the sharing of resources between distributed communities, allowing each to progress towards potentially different goals. As adoption of the Grid increases so are the activities that people wish to conduct through it. The GRIDCC project is a European Union funded project addressing the issues of integrating instruments into the Grid. This increases the requirement of workflows and Quality of Service upon these workflows as many of these instruments have real-time requirements. In this paper we present the workflow management service within the GRIDCC project which is tasked with optimising the workflows and ensuring that they meet the pre-defined QoS requirements specified upon them