Enterprise Engineering Using Semantic Technologies

Modern Enterprises are facing unprecedented challenges in every aspect of their businesses: from marketing research, invention of products, prototyping, production, sales to billing. Innovation is the key to enhancing enterprise performances and knowledge is the main driving force in creating innovation. The identification and effective management of valuable knowledge, however, remains an illusive topic. Knowledge management (KM) techniques, such as enterprise process modelling, have long been recognised for their value and practiced as part of normal business. There are plentiful of KM techniques. However, what is still lacking is a holistic KM approach that enables one to fully connect KM efforts with existing business knowledge and practices already in IT systems, such as organisational memories. To address this problem, we present an integrated three-dimensional KM approach that supports innovative semantics technologies. Its automated formal methods allow us to tap into modern business practices and capitalise on existing knowledge. It closes the knowledge management cycle with user feedback loops. Since we are making use of reliable existing knowledge and methods, new knowledge can be extracted with less effort comparing with another method where new information has to be created from scratch

Purification, growth, and characterization of Zn(x)Cd(1-x)Se crystals

The purification of starting materials which were used in the growth of Zn(x)Cd(1-x)Se (x = 0.2) single crystals using the traveling solution method (TSM) is reported. Up to 13 cm long single crystals and as grown resistivities of 6 x 10(exp 12) ohm/cm could be achieved. Infrared and Raman spectra of Zn(0.2)Cd(0.8)Se are also presented and discussed

A Semantic-based Workflow Choreography for Integrated Sensing and Processing

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the authorâ s and shouldnâ t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.Real-time automatic and continuous information gathering through EcoGrid offers an unique and immense opportunity for long term ecological monitoring and planning. However, the vast amount of raw data gathered must be dealt with efficiently and effectively so that they may be timely turned into useable information to assist ecological management. In addition, Ecological data tends to subject to environmental changes and exception-prone so that their qualities vary. Adaptive business process modelling (BPM) techniques provide rich conceptualisation to support workflow systems to perform integrated analytical and documentation tasks flexibly and efficiently. We present one such BPM and show how adaptive workflow systems, like those developed at AIAI, can take advantage of Enterprise Models represented in FBPML to provide effective support to users in real Grid environments

A scientific information extraction dataset for nature inspired engineering

Nature has inspired various ground-breaking technological developments in applications ranging from robotics to aerospace engineering and the manufacturing of medical devices. However, accessing the information captured in scientific biology texts is a time-consuming and hard task that requires domain-specific knowledge. Improving access for outsiders can help interdisciplinary research like Nature Inspired Engineering. This paper describes a dataset of 1,500 manually-annotated sentences that express domain-independent relations between central concepts in a scientific biology text, such as trade-offs and correlations. The arguments of these relations can be Multi Word Expressions and have been annotated with modifying phrases to form non-projective graphs. The dataset allows for training and evaluating Relation Extraction algorithms that aim for coarse-grained typing of scientific biological documents, enabling a high-level filter for engineers.Comment: Published in Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020). Updated dataset statistics, results unchange

Seeded Physical Vapor Transport of Cadmium-Zinc Telluride Crystals: Growth and Characterization

Crystals of Cd(1-x)Zn(x)Te with x = 0.2 and 40 g in weight were grown on monocrystalline cadmium-zinc telluride seeds by closed-ampoule physical vapor transport with or without excess (Cd + Zn) in the vapor phase. Two post-growth cool-down rates were used. The crystals were characterized using low temperature photoluminescence, atomic force microscopy, chemical etching, X-ray diffraction and electrical measurements. No formation of a second, ZnTe-rich phase was observed

Enterprise Modelling: A Declarative Approach for FBPML

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.Enterprise Modelling (EM) methods are well-recognised for their value in describing complex, informal domains in an organised structure. EM methods are used in practice, particularly during the early stages of software system development, e.g. during the phase of business requirements elicitation. The built model, however, has not always provided direct input to software system development. Despite the provision of adequate training to understand and use EM methods, informality is often seen in enterprise models and presents a major obstacle. This paper focuses on one type of EM methods: business process modelling (BPM) methods. We advocate the use of a BPM language within a three-layer framework. The BPM language merges two main and complimentary business process representations, IDEF3 and PSL, to introduce a Fundamental Business Process Modelling Language (FBPML) that is designed for simplicity of use and under-pinned by rich formality that may be used directly to support software and workflow system development

Improving Semantics In Mobile Devices Profiling: A Model Conceptual Formalisation and Ontology Specification

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.In this work we discuss and propose a new approach for semantic enhancement in mobile devices profiling. This work is motivated by the lack of semantic in existing profiling methods and is part of a broaden framework for visualisation of intelligent planning information in collaborative environments. In this paper, before the discussion of this new model, its knowledge representation and ontology specification concepts, we argue about problems in existing profiling methods

Semantic Support for Visualisation in Collaborative AI Planning

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.In the last decades, many advances have been made in intelligent planning systems. Significant improvements related to core problems, providing faster search algorithms and shortest plans have been proposed. However, there is a lack in researches allowing a better support for a proper use and interaction with planners, where, for instance, visualization can play an important role.This work proposes a general framework for visualisation of planning information using an approach based on semantic modelling. It intends to enhance the notion of knowledge-based planning applying it to other aspects of planning, such as visualisation. The approach consists in an integrated ontology set and reasoning mechanism for multi-modality visualisation destined to collaborative planning environments. This framework will permit organizing and modelling the domain from the visualisation perspective, and give a tailored support for presentation of information