One Solution for Semantic Data Integration in Logistics

Andreeva Elena; Poletaeva Tatiana; Abdulrab Habib; Babkin Eduard

Публикации

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One Solution for Semantic Data Integration in Logistics

P. 75–86.

Andreeva Elena, Poletaeva Tatiana, Abdulrab Habib, Babkin Eduard

Язык: английский

Текст на другом сайте

Ключевые слова: Domain ontology Knowledge management Semantic data modeling Semantic interoperability Supply network

В книге

Enterprise and Organizational Modeling and Simulation. 11th International Workshop, EOMAS 2015, Held at CAiSE 2015, Stockholm, Sweden, June 8-9, 2015, Selected Papers

Vol. 231. , Springer, 2015.

Ontology-Controlled Automated Cumulative Scaffolding for Personalized Adaptive Learning

Дудырев Ф. Ф., Незнанов А. А., Анисимова К. В., , in: Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium -23rd International Conference, AIED 2022, Durham, UK, July 27–31, 2022, Proceedings, Part II.: Springer, 2022. P. 436–439.

Добавлено: 28 июля 2022 г.

Mobility for Smart Cities and Regional Development - Challenges for Higher Education, V1

Springer, 2022.

Добавлено: 18 февраля 2022 г.

The relationship between human intellectual capital and innovation capacity in the public sector

Belmonte da Silva R., Фернандес Х. Ф., Visión de Futuro 2021 Vol. 25 No. 2 P. 137–153

Добавлено: 12 октября 2021 г.

Named Entity Recognition from Chernobyl Documentaries

Daniil Tikhomirov, Nikitinsky N., Макаров И. А., , in: Proceedings of the Conference on Modeling and Analysis of Complex Systems and Processes 2020 (MACSPro 2020)Vol. 2795.: CEUR Workshop Proceedings, 2020. P. 133–139.

The paper describes a system that extracts facts and opinions from documentary texts to create a domain ontology of a controversial topic for Chernobyl disaster. The pipeline of the system is based on RNNbased NER module, which was tested on an annotated text corpora. ...

Добавлено: 4 января 2021 г.

Knowledge management behaviors in venture capital crossroads: a comparison between IVC and CVC ambidexterity

Rossi M., Festa G., Papa A. и др., Journal of Knowledge Management 2020 Vol. 24 No. 10 P. 2431–2454

Purpose Institutional venture capitalists (IVCs) and corporate venture capitalists (CVCs) deploy analogous activities but adopt different approaches to financing innovation and value creation for venture-backed firms. Thus, this paper aims to investigate their potential ambidexterity as a result of knowledge management (KM) strategies and processes. Design/methodology/approach After a focused literature review showing evidence of KM behaviors as a ...

Добавлено: 25 ноября 2020 г.

CEUR Workshop Proceedings (Т. 2413, Selected Papers of the XXII International Conference "Enterprise Engineering and Knowledge Management (EEKM 2019), Moscow, Russia, April 24-26, 2019)

CEUR-WS, 2019.

Добавлено: 10 сентября 2019 г.

The Topics Dynamics in Knowledge Management Research

Зеленков Ю. А., , in: Knowledge Management in Organizations. 14th International Conference, KMO 2019, Zamora, Spain, July 15–18, 2019, ProceedingsVol. 1027.: Switzerland: Springer, 2019. P. 324–335.

Добавлено: 14 июня 2019 г.

Method for the Development of Recommendation Systems, Customizable to Domains, with Deep GRU network

Korotaev A., Лядова Л. Н., , in: Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEODVol. 2.: SCITEPRESS – Science and Technology Publications, Lda., 2018. P. 231–236.

Добавлено: 28 сентября 2018 г.

Ontology-Driven System for Monitoring Global Processes on Basis of Internet News

Shalyaeva Irina, Lyadova Lyudmila, Lanin Viacheslav, , in: 11th IEEE International Conference on Application of Information and Communication Technologies (AICT): Conference Proceedings (Vol.2)Vol. 2.: M.: Institute of Electrical and Electronics Engineers Inc., 2017. P. 385–389.

Добавлено: 14 декабря 2017 г.

Collaborative Conceptual Exploration as a Tool for Crowdsourcing Domain Ontologies

Объедков С. А., Ромашкин Н. С., , in: RuZA 2015 Workshop. Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015). November 30 - December 5, 2015, Stellenbosch, South AfricaVol. 1552.: Aachen: CEUR Workshop Proceedings, 2015. P. 58–70.

Domain ontologies are essential in disciplines as diverse as software engineering, medicine, or political science to name just a few. This paper describes an ongoing effort to develop a methodology for collaborative ontology construction by geographically spread communities of experts and implement a web-based prototype supporting this methodology. A distinctive feature of the proposed approach ...

Добавлено: 14 июня 2016 г.