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With the rapid development of materials informatics and the Semantic Web, the semantic-driven solution has emerged to improve traditional query technology, which is hard to discover implicit knowledge from materials data. However, it is a nontrivial thing for materials scientists to construct a semantic query, and the query results are usually presented in RDF/XML format which is not convenient for users to understand. This paper aims to propose an approach to construct semantic query and visualize the query results for metallic materials domain.

The authors design a query builder to generate SPARQL query statements automatically based on domain ontology and query conditions inputted by users. Moreover, a semantic visualization model is defined based on the materials science tetrahedron to support the visualization of query results in an intuitive, dynamic and interactive way.

Based on the Semantic Web technology, the authors design an automatic semantic query builder to help domain experts write the normative semantic query statements quickly and simply, as well as a prototype (named MatViz) is developed to visually show query results, which could help experts discover implicit knowledge from materials data. Moreover, the experiments demonstrate that the proposed system in this paper can rapidly and effectively return visualized query results over the metallic materials data set.

This paper mainly discusses an approach to support semantic query and visualization of metallic materials data. The implementation of MatViz will be a meaningful work for the research of metal materials data integration.

This report describes the Crystallographic Data Centre, the Engineering Sciences Data Unit and the Mass Spectrometry Data Centre, under headings covering scope and general description, input acquisition and processing, outputs, distribution mechanisms, staff training and recruitment, user aspects, cost‐benefit considerations and future developments. It is based on information collected from published literature, extended interviews conducted at each centre, materials made available by the centres and a limited amount of telephone contact with users. The study was carried out between 17–28 January 1983, on behalf of the Office of Arts and Libraries, to provide input for the Library and Information Services Council Working Party on Centres of Information Excellence. Each of the three centres studied produces high‐quality specialised data, organised and validated to suit the requirements of specialist groups. All have been in existence for at least fifteen years, and all have enjoyed Government support at some time. Two are now profit‐seeking and one is non‐profit; one is university‐based, one is a private company and one is part of the Royal Society of Chemistry.

SOUTHEND based airline Princess Air, a new carrier launched in April 1990, is now operating the world's first 9G rated commercial aircraft with role‐change capabilities — a specifically converted British Aerospace BAe 146 QC four engined jetliner.

Knowledge is companies’ crucial asset, especially when they are inserted in continuous collaboration and value co-creation. However, problems related to knowledge may occur without proper management, which can compromise the strategic objectives associated with a business collaboration network. Given the presented gap, this study aims to propose and test a business-to-business (B2B) knowledge management (KM) framework focused on value co-creation. Therefore, this study seeks to answer the following guiding questions: what are the main elements that a KM model should present in a context of value co-creation between companies? What are the limitations? What are the advantages and disadvantages? Is there any group that would benefit most from it?

This is an exploratory study grounded on mixed methods, having a qualitative approach (systematic literature review and content analysis) followed by a quantitative approach (exploratory and confirmatory factor analysis), which grounded the proposed framework.

The qualitative approach grounded on the systematic literature review resulting in 38 articles that were submitted to content analysis, which resulted in six record units: active communication between the organization, employees and other stakeholders; documents and organizational knowledge stored; knowledge map; collaborative network; searching tools and database, which provided the KM elements to develop and test the proposed framework by the quantitative approach. The results have shown that the framework may assist in managing knowledge in B2B value co-creation relationships.

As an exploratory study, the chosen research approach used nonprobabilistic for convenience sampling. Therefore, the results may lack generalizability. Thus, researchers are encouraged to use probabilistic sampling techniques to ensure generability. Also, more and better items should be used to upgrade the initial questionnaire, improving it and, by doing so, have a better scale.

Assuming the proposed framework’s effectiveness, company managers can use it to drive knowledge within the network of interested parties to promote cooperative products and services. In addition, due to the theoretical framework’s broad vision, it can serve as a strategic aid to leverage innovation, productivity and competitive advantage. This study also provides an initial instrument that assists in understanding KM elements, which may assist in value co-creation.

It was learned that the elements, tools, concepts and KM preconized solutions can assist in value co-creation. Considering that value assists business performance, and value co-creation is one way to enhance it, furthermore, by knowledge sharing, the value co-creation may occur in the B2B ecosystem. Also, it is the first theoretical KM framework proposed to assist companies to understand better ways that could get advantages on structuring knowledge, meaning mapping it, sharing it through a system that can retain what is needed and release it to the ones that need and have the defined access to receive it.

Fatigue crack growth models based on elastic‐plastic stress‐strain histories at the crack tip region and strain‐life damage models have been proposed. The UniGrow model fits this particular class of fatigue crack propagation models. The residual stresses developed at the crack tip play a central role in these models, since they are applied to assess the actual crack driving force. This paper aims to assess the performance of the UniGrow model based on available experimental constant amplitude crack propagation data, derived for several metallic materials from representative Portuguese bridges. It also aims to discuss key issues in fatigue crack growth prediction, using the UniGrow model, in particular the residual stress computation and the suitability of fatigue damage rules.

The UniGrow model is assessed using data derived by the authors for materials from Portuguese riveted metallic bridges. Strain‐life data, from fatigue tests on smooth specimens, are used to propose a convenient fatigue damage model. Predicted crack growth rates are compared with experimental crack propagation data obtained by authors using fatigue tests on compact tension specimens. Since the UniGrow model is a residual stress‐based propagation model, elastoplastic finite element analysis is proposed for comparison with the analytical approach implemented in the original UniGrow model.

The use of the Smith‐Watson‐Topper damage parameter overestimates the stress R‐ratio effects on crack propagation rates, mainly if the material shows crack propagation rates with small to moderate sensitivity to stress R‐ratio, which is the case of the materials under investigation in this paper. Alternatively, the application of the Coffin‐Manson damage law leads to consistent fatigue crack growth predictions for the investigated range of positive stress R‐ratios. The stress R‐ratios effects may be solely attributed to the residual stresses. Their estimation, using an analytical approach, may lead to inconsistent results, which is demonstrated by an alternative elastoplastic finite element analysis.

Contributions for more accurate predictions of fatigue crack propagation rates, for several stress ratios, using a strain‐based approach is proposed. This approach is valuable since it may be used to reduce the time consuming and costly fatigue crack propagation tests. Furthermore, the proposed approach shows potential for an unified crack initiation and propagation approach.

Gives introductory remarks about chapter 1 of this group of 31 papers, from ISEF 1999 Proceedings, in the methodologies for field analysis, in the electromagnetic community. Observes that computer package implementation theory contributes to clarification. Discusses the areas covered by some of the papers ‐ such as artificial intelligence using fuzzy logic. Includes applications such as permanent magnets and looks at eddy current problems. States the finite element method is currently the most popular method used for field computation. Closes by pointing out the amalgam of topics.

The fair wage potential (FWP) is a social assessment method that can serve as an important measure to estimate the related social impacts along a product's life cycle; however, it does not admit a direct relation to the functional unit. This research presents the weighted fair wage potential (WFWP) method that relates the functional unit to the FWP. It is a simplified method to connect the material inventory to social data. This study aims to develop an approach to assess and choose the best construction typology for buildings based on the social sustainability of workers involved in the sectors.

The study is presented in phases. Phase 1 selected and identified two Brazilian house projects, which were considered for the following processes: extraction of raw materials, manufacture of building materials and housing construction. Phase 2 assembled the social life cycle inventories and executed them using the social life cycle assessment (SLCA). The inventory of materials followed the functional unit: “1.0 m² of the built housing”, and the social inventory observed data extracted from the National Household Sample Survey (PNAD). The study considered the stakeholder category “worker” and analysed the impact subcategory “fair salary”. The study also divided the social data into categories: worker gender, worker race/colour, worker union and worker formality to analyse the impact of subcategories: “equal opportunities/discrimination”, “freedom of association and collective bargaining” and “social benefits/social security”. Phase 3 compared the projects according to the results from the SLCA. The FWP considers the wage paid at supply chain sectors, and the WFWP relates the functional unit to the social data.

The results proved that the wages paid by the construction supply chain are fair. However, there are differences between the FWP of male and female workers, white and non-white workers, unionised and non-unionised workers and formal and informal workers. The study of the actual Brazilian minimum wage indicated that the FWP is sensitive to the reference wage to which the analysed wages paid are related. Considering the WFWP, the constructive typology employed in Project B can generate increased positive social impacts than Project A. The proposed study provides excellent results, and it can be adapted to different data to assess the social conditions of other countries and sectors.

There is not enough primary data available for the variables real wages and real working time; for this reason, these variables received secondary data. Another limitation is the data used for the year range, since Brazilian microdata do not include years before 2002 and years beyond 2015.

The WFWP differs from the existing social sustainability studies because it relates the material information to social data; also, it defines the best option among the analysed alternatives, taking into consideration social sustainability, which enables the project design to go beyond technical aspects. The constructive typology and materials take into account the social sustainability of the construction supply chain, generating more sustainable projects and improving the circumstances of affected stakeholders.

The purpose of this paper is to analyse nanosecond pulsed laser ablation on both metallic materials and non-metallic materials; a comparison between metallic materials and non-metallic materials has also been included.

In this paper, FEM method has been used to calculate the result by means of the finite element method. Furthermore, all the analyses are based on thermal theories.

The paper presents a comparison of metallic and non-metallic materials. Besides, the effect of how laser parameter changes would influence the ablation depth has also been assessed.

All studies in this paper are based on classical thermal theories. Thermal theories are not applicable some times.

With the results of this paper, suggestions are made so that experiments and manufactures could be optimised and improved.

With the advent of the era of Big Data, the scale of knowledge graph (KG) in various domains is growing rapidly, which holds huge amount of knowledge surely benefiting the question answering (QA) research. However, the KG, which is always constituted of entities and relations, is structurally inconsistent with the natural language query. Thus, the QA system based on KG is still faced with difficulties. The purpose of this paper is to propose a method to answer the domain-specific questions based on KG, providing conveniences for the information query over domain KG.

The authors propose a method FactQA to answer the factual questions about specific domain. A series of logical rules are designed to transform the factual questions into the triples, in order to solve the structural inconsistency between the user’s question and the domain knowledge. Then, the query expansion strategies and filtering strategies are proposed from two levels (i.e. words and triples in the question). For matching the question with domain knowledge, not only the similarity values between the words in the question and the resources in the domain knowledge but also the tag information of these words is considered. And the tag information is obtained by parsing the question using Stanford CoreNLP. In this paper, the KG in metallic materials domain is used to illustrate the FactQA method.

The designed logical rules have time stability for transforming the factual questions into the triples. Additionally, after filtering the synonym expansion results of the words in the question, the expansion quality of the triple representation of the question is improved. The tag information of the words in the question is considered in the process of data matching, which could help to filter out the wrong matches.

Although the FactQA is proposed for domain-specific QA, it can also be applied to any other domain besides metallic materials domain. For a question that cannot be answered, FactQA would generate a new related question to answer, providing as much as possible the user with the information they probably need. The FactQA could facilitate the user’s information query based on the emerging KG.