ENGINEERING MASTER STUDENTS‘ VIEWS ON DIGITAL ENTREPRENEURSHIP IN A HOST EUROPEAN COUNTRY

The importance of engineering education in promoting engineering students’ entrepreneurial attitudes and behaviours now is widely recognised. The aim of the research is to explore international engineering Master students’ views on digital entrepreneurship in a host European country underpinning the elaboration of implications for engineering education in a host country. The research methods imply the use of both - theoretical and empirical - methods. Theoretical methods included analysis of scientific literature, theoretical modelling, systematisation, synthesis, comparison, generalisation. The empirical study was carried out in Germany in February 2021. 32 engineering Master students took part in the online survey. The online survey was based on the online questionnaire. The obtained data were described with the use of percentage, standard deviation and weighted average. The data description was followed by data interpretation and summarization. The use of the theoretical methods allows identifying that digital entrepreneurship is a supplement to traditional settings entrepreneurship proceeds in. The theoretical research resulted in the conceptual framework built of engineering student’s intention to become a digital entrepreneur, the use of the host country language, the use of engineering knowledge in digital entrepreneurship. The results of the empirical study allow finding out that the engineering Master students’ view digital entrepreneurship in a positive way. The survey results show that the engineering students focus their digital entrepreneurship on their professional field, namely engineering. The survey also outlined two major factors, namely host country language and host country rules, that limit the opportunities of becoming a digital entrepreneur in a host country. The implications for engineering education, that international engineering Master students receive in a host country, imply the integration of entrepreneurial culture, namely host country language and host country rules, into engineering education in a host country. The emphasis of the host country language and host country rules should be placed on their use for entrepreneurial purposes. By the entrepreneurial purposes, specific activities that are tied to entrepreneurship are meant. Training of host country language and host country rules within engineering education should be centred on their use for entrepreneurship.

Citizen Science Archaeological Finds on the Semantic Web : The FindSampo Framework

FindSampo fosters collecting, sharing, publishing and studying archaeological finds discovered by the public. The framework includes the following: a mobile find-reporting system; a semantic portal for researchers, the public and collection managers to use; and a Linked Open Data service for creating custom data analyses and for application developers.Peer reviewe

Linked Open Data Service about Historical Finnish Academic People in 1640–1899

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Analyzing biography collections historiographically as Linked Data : Case National Biography of Finland

Biographical collections are available on the Web for close reading. However, the underlying texts can also be used for data analysis and distant reading, if the documents are available as data. Such data is usable for creating intelligent user interfaces to biographical data, including Digital Humanities tooling for visualizations, data analysis, and knowledge discovery in biographical and prosopographical research. In this paper, we re-use biographical collection data from a historiographical perspective for analyzing the underlying collection. For example: What kind of people have been included in the collection? Does the language used for describing female biographees differ from that for men? As a case study, the Finnish National Biography, available as part of the Linked Open Data service and semantic portal BiographySampo - Finnish Biographies on the Semantic Web is used. The analyses show interesting results related to, e.g., how specific prosopographical groups, such as women or professional groups are represented and portrayed. Various novel statistics and network analyses of the biographees are presented. Our analyses give new insights to the editors of the National Biography as well as to researchers in biography, prosopography, and historiography. The presented approach can be applied also to similar biography collections in other countries.Peer reviewe

Impresso Inspect and Compare. Visual Comparison of Semantically Enriched Historical Newspaper Articles

The automated enrichment of mass-digitised document collections using techniques such as text mining is becoming increasingly popular. Enriched collections offer new opportunities for interface design to allow data-driven and visualisation-based search, exploration and interpretation. Most such interfaces integrate close and distant reading and represent semantic, spatial, social or temporal relations, but often lack contrastive views. Inspect and Compare (I\&C) contributes to the current state of the art in interface design for historical newspapers with highly versatile side-by-side comparisons of query results and curated article sets based on metadata and semantic enrichments. I\&C takes search queries and pre-curated article sets as inputs and allows comparisons based on the distributions of newspaper titles, publication dates and automatically generated enrichments, such as language, article types, topics and named entities. Contrastive views of such data reveal patterns, help humanities scholars to improve search strategies and to facilitate a critical assessment of the overall data quality. I\&C is part of the impresso interface for the exploration of digitised and semantically enriched historical newspapers

frances: a deep learning NLP and text mining web tool to unlock historical digital collections : a case study on the Encyclopaedia Britannica

Funding: This work was supported by the NLS Digital Fellowship and by the Google Cloud Platform research credit program.This work presents frances, an integrated text mining tool that combines information extraction, knowledge graphs, NLP, deep learning, parallel processing and Semantic Web techniques to unlock the full value of historical digital textual collections, offering new capabilities for researchers to use powerful analysis methods without being distracted by the technology and middleware details. To demonstrate these capabilities, we use the first eight editions of the Encyclopaedia Britannica offered by the National Library of Scotland (NLS) as an example digital collection to mine and analyse. We have developed novel parallel heuristics to extract terms from the original collection (alongside metadata), which provides a mix of unstructured and semi-structured input data, and populated a new knowledge graph with this information. Our Natural Language Processing models enable frances to perform advanced analyses that go significantly beyond simple search using the information stored in the knowledge graph. Furthermore, frances also allows for creating and running complex text mining analyses at scale. Our results show that the novel computational techniques developed within frances provide a vehicle for researchers to formalize and connect findings and insights derived from the analysis of large-scale digital corpora such as the Encyclopaedia Britannica.Postprin

frances : cloud-based historical text mining with deep learning and parallel processing

frances is an advanced cloud-based text mining digital platform that leverages information extraction, knowledge graphs, natural language processing (NLP), deep learning, and parallel processing techniques. It has been specifically designed to unlock the full potential of historical digital textual collections, such as those from the National Library of Scotland, offering cloud-based capabilities and extended support for complex NLP analyses and data visualizations. frances enables realtime recurrent operational text mining and provides robust capabilities for temporal analysis, accompanied by automatic visualizations for easy result inspection. In this paper, we present the motivation behind the development of frances, emphasizing its innovative design and novel implementation aspects. We also outline future development directions. Additionally, we evaluate the platform through two comprehensive case studies in history and publishing history. Feedback from participants in these studies demonstrates that frances accelerates their work and facilitates rapid testing and dissemination of ideas.Postprin

From plenipotentiary to puddingless : Users and uses of new words in early English letters

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Crowdsourcing in history and digital humanities

Crowdsourcing data in history and digital humanities is the one of the newest technique that is applying in gathering of all sort of the historical sources essential for the researching work. Moreover, it is important for the one more process - the preservation of the cultural heritage. As this method still is not in wide use particularly because of the digital gap within geographical and cultural net, this paper focuses on the meaning and the significance of the crowdsourcing method and its usefulness in digital humanities, as history science itself. Bearing in mind all mentioned, this article deals also with the implementation of this method, as with the consideration of the new methodology of scientific research in this case, not only for its presentation to the researchers but also to the wide public. Additionally, here we have considered the value of this method through the potential outcomes, opportunities as the possible problems. For now, this new method of get-together data for historical science and other humanities need time and resource, especially human to be implement. In the future, the AI could support using of the crowdsourcing, if one will be created for this purpos