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Maehara Y, Kuku A, Osabe Y. Macro analysis of decarbonization-related patent technologies by patent domain-specific BERT. WORLD PATENT INFORMATION 2022. [DOI: 10.1016/j.wpi.2022.102112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Coletti A, De Nicola A, Di Pietro A, La Porta L, Pollino M, Rosato V, Vicoli G, Villani ML. A comprehensive system for semantic spatiotemporal assessment of risk in urban areas. JOURNAL OF CONTINGENCIES AND CRISIS MANAGEMENT 2020. [DOI: 10.1111/1468-5973.12309] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | - Antonio De Nicola
- ENEA CR Casaccia Rome Italy
- European Infrastructure Simulation and Analysis Centre Italian Node (EISAC.it) Rome Italy
| | - Antonio Di Pietro
- ENEA CR Casaccia Rome Italy
- European Infrastructure Simulation and Analysis Centre Italian Node (EISAC.it) Rome Italy
| | - Luigi La Porta
- ENEA CR Casaccia Rome Italy
- European Infrastructure Simulation and Analysis Centre Italian Node (EISAC.it) Rome Italy
| | - Maurizio Pollino
- ENEA CR Casaccia Rome Italy
- European Infrastructure Simulation and Analysis Centre Italian Node (EISAC.it) Rome Italy
| | - Vittorio Rosato
- ENEA CR Casaccia Rome Italy
- European Infrastructure Simulation and Analysis Centre Italian Node (EISAC.it) Rome Italy
| | - Giordano Vicoli
- ENEA CR Casaccia Rome Italy
- European Infrastructure Simulation and Analysis Centre Italian Node (EISAC.it) Rome Italy
| | - Maria Luisa Villani
- ENEA CR Casaccia Rome Italy
- European Infrastructure Simulation and Analysis Centre Italian Node (EISAC.it) Rome Italy
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Computer-Aided Sketching: Incorporating the Locus to Improve the Three-Dimensional Geometric Design. Symmetry (Basel) 2020. [DOI: 10.3390/sym12071181] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
This article presents evidence of the convenience of implementing the geometric places of the plane into commercial computer-aided design (CAD) software as auxiliary tools in the computer-aided sketching process. Additionally, the research considers the possibility of adding several intuitive spatial geometric places to improve the efficiency of the three-dimensional geometric design. For demonstrative purposes, four examples are presented. A two-dimensional figure positioned on the flat face of an object shows the significant improvement over tools currently available in commercial CAD software, both vector and parametric: it is more intuitive and does not require the designer to execute as many operations. Two more complex three-dimensional examples are presented to show how the use of spatial geometric places, implemented as CAD software functions, would be an effective and highly intuitive tool. Using these functions produces auxiliary curved surfaces with points whose notable features are a significant innovation. A final example provided solves a geometric place problem using own software designed for this purpose. The proposal to incorporate geometric places into CAD software would lead to a significant improvement in the field of computational geometry. Consequently, the incorporation of geometric places into CAD software could increase technical-design productivity by eliminating some intermediate operations, such as symmetry, among others, and improving the geometry training of less skilled users.
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Creative design of emergency management scenarios driven by semantics: An application to smart cities. INFORM SYST 2019. [DOI: 10.1016/j.is.2018.10.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Abstract
Business innovation is a process that requires creativity, and benefits from extensive collaboration. Currently, computational support in creativity processes is low, but modern techniques would allow these processes to be sped up. In this context, we provide such a computational support with software for business innovation design that uses computational creativity techniques. Furthermore, the software enables a gamified process to increase user engagement and collaboration, which mimics evolutionary methods, relying on a voting mechanism. The software includes a business innovation ontology representing the domain knowledge that is used to generate and select a set of diverse preliminary representations of business ideas. Indeed, the most promising for novelty and potential impact are identified to ignite a business innovation game where team members collaborate to elaborate new innovation ideas based on those inputs until convergence to a shortlist of business model proposals. The main features of the approach are illustrated by means of a running example concerning innovative services for smart cities.
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Wang K, Nickerson JV. A literature review on individual creativity support systems. COMPUTERS IN HUMAN BEHAVIOR 2017. [DOI: 10.1016/j.chb.2017.04.035] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Yan W, Liu H, Zanni-Merk C, Cavallucci D. IngeniousTRIZ: An automatic ontology-based system for solving inventive problems. Knowl Based Syst 2015. [DOI: 10.1016/j.knosys.2014.11.015] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Belaud JP, Negny S, Dupros F, Michéa D, Vautrin B. Collaborative simulation and scientific big data analysis: Illustration for sustainability in natural hazards management and chemical process engineering. COMPUT IND 2014. [DOI: 10.1016/j.compind.2014.01.009] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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LIPPMANN TORBEN. ENGINEERING INNOVATION-RELATED KNOWLEDGE: HOW A CORE ONTOLOGY MAKES INNOVATIONS RETRIEVABLE FOR INNOVATION SEEKERS. INT J COOP INF SYST 2013. [DOI: 10.1142/s0218843013400042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The motivation of this paper is to name the central lines of development in the research field of innovation-related knowledge engineering. This helps to define the starting point for an urgently required interdisciplinary academic discussion about the design of a core ontology for innovations. A review about the currently known ontologies for innovation emphasizes the need for engineering a core ontology for innovations based on a valid consensual understanding of the term innovation. In a universally applicable conception, innovation is characterized as a (re-) combination of purposes and means. A transmission of this conceptualization is presented, visualized and its usage shown through the ontology InnOnto. The paper concludes with implications for future research tasks in the field of innovation-related knowledge engineering.
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Affiliation(s)
- TORBEN LIPPMANN
- Institute of Innovation Research and Management, Westfälische Hochschule, University of Applied Sciences, Bochum 44801, Germany
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Rousselot F, Zanni-Merk C, Cavallucci D. Towards a formal definition of contradiction in inventive design. COMPUT IND 2012. [DOI: 10.1016/j.compind.2012.01.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Zanni-Merk C, Cavallucci D, Rousselot F. Use of formal ontologies as a foundation for inventive design studies. COMPUT IND 2011. [DOI: 10.1016/j.compind.2010.09.007] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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