Extracting and mapping industry 4.0 technologies using wikipedia
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The Industry 4.0 technological field is highly heterogeneous, leading to confusion as observed by stakeholders.
“In addition, the I4.0 technological field is highly heterogeneous [42], leading to confusion, as observed by stakeholders [42].”
From Digitisation and the Circular Economy: A Review of Current Research and Future Trends (2018) · cites this paper as [42]
Cites
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008) · Journal of Statistical Mechanics: Theory and Experiment · doi:10.1088/1742-5468/2008/10/p10008 · Cited by 21,424 · see citing works
Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations
Jaffe, A. B., Trajtenberg, M., & Henderson, R. M. (1993) · The Quarterly Journal of Economics · doi:10.2307/2118401 · Cited by 7,823 · see citing works
Co‐citation in the scientific literature: A new measure of the relationship between two documents
Small, H. (1973) · Journal of the American Society for Information Science · doi:10.1002/asi.4630240406 · Cited by 5,345 · see citing works
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113 · see citing works
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014) · Business & Information Systems Engineering · doi:10.1007/s12599-014-0334-4 · Cited by 4,276 · see citing works
Semantic Similarity Based on Corpus Statistics and Lexical TaxonomyPreprint
Jiang, J. J., & Conrath, D. W. (1997) · arXiv (Cornell University) · doi:10.48550/arxiv.cmp-lg/9709008 · Cited by 2,869 · see citing works
Proceedings of the 16th international joint conference on Artificial Intelligence - IJCAI '99
Colton, S., Bundy, A., & Walsh, T. (1999) · Cited by 2,500 · see citing works
DBpedia - A crystallization point for the Web of Data
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Richard Cyganiak, A., & Hellmann, S. (2009) · Journal of Web Semantics · doi:10.1016/j.websem.2009.07.002 · Cited by 2,144 · see citing works
Resnik, P. (1999) · Journal of Artificial Intelligence Research · doi:10.1613/jair.514 · Cited by 2,098 · see citing works
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
Gabrilovich, E., & Markovitch, S. (2007) · Cited by 1,981 · see citing works
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Lee, J., Kao, H.-A., & Yang, S. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.02.001 · Cited by 1,965 · see citing works
From translations to problematic networks: An introduction to co-word analysis
Callon, M., Courtial, J.-P., Turner, W. A., & Bauin, S. (1983) · Social Science Information · doi:10.1177/053901883022002003 · Cited by 1,951 · see citing works
Citation Analysis in Research Evaluation
Moed, H. F. (2005) · Springer eBooks · doi:10.1007/1-4020-3714-7 · Cited by 1,334 · see citing works
Cyber-physical Production Systems: Roots, Expectations and R&D Challenges
Monostori, L. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.03.115 · Cited by 1,281 · see citing works
Learning to link with wikipedia
Milne, D., & Witten, I. H. (2008) · doi:10.1145/1458082.1458150 · Cited by 1,263 · see citing works
Author cocitation: A literature measure of intellectual structure
White, H. D., & Griffith, B. C. (1981) · Journal of the American Society for Information Science · doi:10.1002/asi.4630320302 · Cited by 1,232 · see citing works
What is an emerging technology?
Rotolo, D., Hicks, D. M., & Martin, B. R. (2015) · Research Policy · doi:10.1016/j.respol.2015.06.006 · Cited by 971 · see citing works
A Complex View of Industry 4.0
Roblek, V., Meško, M., & Krapež, A. (2016) · Sage Open · doi:10.1177/2158244016653987 · Cited by 926 · see citing works
Shrouf, F., Ordieres-Meré, J. B., & Miragliotta, G. (2014) · doi:10.1109/ieem.2014.7058728 · Cited by 915 · see citing works
Mihalcea, R. F., & Csomai, A. (2007) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1321440.1321475 · Cited by 909 · see citing works
Cyber physical systems in the context of Industry 4.0
Jazdi, N. (2014) · IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) · doi:10.1109/aqtr.2014.6857843 · Cited by 847 · see citing works
Using Encyclopedic Knowledge for Named Entity Disambiguation
Bunescu, R., & PAŞCA, M. A. (2006) · Cited by 809 · see citing works
Text mining techniques for patent analysis
Tseng, Y., Lin, C.-J., & Lin, Y.-I. (2007) · Information Processing & Management · doi:10.1016/j.ipm.2006.11.011 · Cited by 784 · see citing works
Bryant, S. L., Forte, A., & Bruckman, A. S. (2005) · International ACM SIGGROUP Conference on Supporting Group Work (GROUP) · doi:10.1145/1099203.1099205 · Cited by 758 · see citing works
WikiRelate! computing semantic relatedness using wikipedia
Strube, M., & Ponzetto, S. P. (2006) · MADOC (University of Mannheim) · Cited by 752 · see citing works
Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet
Posada, J., Toro, C., Barandiarán, Í., Oyarzun, D., Stricker, D., Amicis, R. D., Pinto, E. B., Eisert, P., Döllner, J., & Vallarino, I. (2015) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2015.45 · Cited by 618 · see citing works
A text-mining-based patent network: Analytical tool for high-technology trend
Yoon, B., & Park, Y. (2003) · The Journal of High Technology Management Research · doi:10.1016/j.hitech.2003.09.003 · Cited by 569 · see citing works
Verspagen, B. (2007) · Advances in Complex Systems · doi:10.1142/s0219525907000945 · Cited by 427 · see citing works
Medelyan, O., Milne, D., Legg, C., & Witten, I. H. (2009) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2009.05.004 · Cited by 358 · see citing works
Clustering thescience citation index ® using co-citations
Small, H., & Sweeney, E. (1985) · Scientometrics · doi:10.1007/bf02017157 · Cited by 292 · see citing works
Tracking and predicting growth areas in science
Small, H. G. (2006) · Scientometrics · doi:10.1007/s11192-006-0132-y · Cited by 285 · see citing works
Co-word maps of biotechnology: An example of cognitive scientometrics
Rip, A., & Courtial, J. (1984) · Scientometrics · doi:10.1007/bf02025827 · Cited by 268 · see citing works
Fast and Accurate Annotation of Short Texts with Wikipedia Pages
Ferragina, P., & Scaiella, U. (2011) · IEEE Software · doi:10.1109/ms.2011.122 · Cited by 243 · see citing works
Knowledge Derived From Wikipedia For Computing Semantic Relatedness
Ponzetto, S. P., & Strube, M. (2007) · Journal of Artificial Intelligence Research · doi:10.1613/jair.2308 · Cited by 233 · see citing works
Glänzel, W., & Czerwon, H. J. (1996) · Scientometrics · doi:10.1007/bf02093621 · Cited by 211 · see citing works
A patent-based cartography of technology
Engelsman, E. C., & van Raan, A. F. J. (1994) · Research Policy · doi:10.1016/0048-7333(94)90024-8 · Cited by 206 · see citing works
Words and co-words as indicators of intellectual organization
Leydesdroff, L. (1989) · Research Policy · doi:10.1016/0048-7333(89)90016-4 · Cited by 202 · see citing works
Relational Inference for Wikification
Cheng, X., & Roth, D. (2013) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d13-1184 · Cited by 200 · see citing works
Keyword selection and processing strategy for applying text mining to patent analysis
Noh, H., Jo, Y., & Lee, S. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.01.050 · Cited by 194 · see citing works
Yoon, J., & Kim, K. (2011) · Scientometrics · doi:10.1007/s11192-011-0543-2 · Cited by 182 · see citing works
Yoon, J., & Kim, K. (2011) · Scientometrics · doi:10.1007/s11192-011-0383-0 · Cited by 182 · see citing works
Trappey, A. J. C., Trappey, C. V., Govindarajan, U. H., Sun, J. J. H., & Chuang, A. C. (2016) · IEEE Access · doi:10.1109/access.2016.2619360 · Cited by 176 · see citing works
Joung, J., & Kim, K. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.020 · Cited by 159 · see citing works
Chang, P., Wu, C.-C., & Leu, H. (2009) · Scientometrics · doi:10.1007/s11192-009-0033-y · Cited by 147 · see citing works
Identification of promising patents for technology transfers using TRIZ evolution trends
Park, H., Ree, J. J., & Kim, K. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.08.008 · Cited by 143 · see citing works
An SAO-based text mining approach to building a technology tree for technology planning
Choi, S., Park, H., Kang, D., Lee, J. Y., & Kim, K. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.04.014 · Cited by 143 · see citing works
Zitt, M., & Bassecoulard, E. (2006) · Information Processing & Management · doi:10.1016/j.ipm.2006.03.016 · Cited by 141 · see citing works
Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management
Hepp, M. F., Siorpaes, K., & Bachlechner, D. (2007) · IEEE Internet Computing · doi:10.1109/mic.2007.110 · Cited by 136 · see citing works
Visionary Manufacturing Challenges for 2020
National Research Council (1998) · National Academies Press eBooks · doi:10.17226/6314 · Cited by 134 · see citing works
Choi, S., Yoon, J., Kim, K., Lee, J. Y., & Kim, C.-H. (2011) · Scientometrics · doi:10.1007/s11192-011-0420-z · Cited by 128 · see citing works
Improving the accuracy of co-citation clustering using full text
Boyack, K. W., Small, H., & Klavans, R. (2013) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22896 · Cited by 117 · see citing works
Nanotechnology publications and citations by leading countries and blocs
Youtie, J., Shapira, P., & Porter, A. L. (2008) · Journal of Nanoparticle Research · doi:10.1007/s11051-008-9360-9 · Cited by 117 · see citing works
The neural net of neural network research
van Raan, A. F. J., & Tijssen, R. (1993) · Scientometrics · doi:10.1007/bf02016799 · Cited by 110 · see citing works
Identifying patent infringement using SAO based semantic technological similarities
Park, H., Yoon, J., & Kim, K. (2011) · Scientometrics · doi:10.1007/s11192-011-0522-7 · Cited by 110 · see citing works
Leydesdorff, L., & Hellsten, I. (2006) · Scientometrics · doi:10.1007/s11192-006-0096-y · Cited by 104 · see citing works
Natural Language Processing of Patents and Technical Documentation
Cascini, G., Fantechi, A., & Spinicci, E. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-28640-0_48 · Cited by 98 · see citing works
Automatic extraction of function–behaviour–state information from patents
Fantoni, G., Apreda, R., Dell’Orletta⋄, F., et al. (2013) · Advanced Engineering Informatics · doi:10.1016/j.aei.2013.04.004 · Cited by 94 · see citing works
Self-citationRiel, A., Kreiner, C., Macher, G., & Messnarz, R. (2017) · CIRP Annals · doi:10.1016/j.cirp.2017.04.037 · Cited by 81 · see citing works
Clustering articles based on semantic similarity
Wang, S., & Koopman, R. (2017) · Scientometrics · doi:10.1007/s11192-017-2298-x · Cited by 78 · see citing works
Wang, X., Qiu, P., Zhu, D., et al. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.05.014 · Cited by 72 · see citing works
Kuusi, O., & Meyer, M. S. (2007) · Scientometrics · doi:10.1007/s11192-007-0311-5 · Cited by 65 · see citing works
Relating properties and functions from patents to TRIZ trends
Verhaegen, P.-A., D’hondt, J., Vertommen, J., et al. (2008) · CIRP journal of manufacturing science and technology · doi:10.1016/j.cirpj.2008.09.010 · Cited by 62 · see citing works
Measuring patent similarity by comparing inventions functional trees
Cascini, G., & Zini, M. (2008) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/978-0-387-09697-1_3 · Cited by 55 · see citing works
Identifying technology trends for R&D planning using TRIZ and text mining
Wang, M., Chang, D.-S., & Kao, C.-H. (2010) · R and D Management · doi:10.1111/j.1467-9310.2010.00612.x · Cited by 54 · see citing works
An automated method for identifying TRIZ evolution trends from patents
Yoon, J., & Kim, K. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.06.005 · Cited by 53 · see citing works
Wang, X., Qiu, P., Zhu, D., et al. (2015) · HAL (Le Centre pour la Communication Scientifique Directe) · Cited by 44 · see citing works
(2004) · IEEE Internet Computing · doi:10.1109/mic.2004.1318089 · Cited by 30 · see citing works
An application of the text mining approach to select technology centers of excellence
Ghazinoory, S., Ameri, F., & Farnoodi, S. (2012) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2012.09.001 · Cited by 29 · see citing works
Ozcan, S., & Islam, N. (2017) · Scientometrics · doi:10.1007/s11192-017-2325-y · Cited by 26 · see citing works
The knowledge network dynamics in a mobile ecosystem: a patent citation analysis
Lee, S., & Kim, W. (2017) · Scientometrics · doi:10.1007/s11192-017-2270-9 · Cited by 22 · see citing works
Functional technology foresight. A novel methodology to identify emerging technologies
Apreda, R., Bonaccorsi, A. J., Dell’Orletta⋄, F., et al. (2016) · European Journal of Futures Research · doi:10.1007/s40309-016-0093-1 · Cited by 16 · see citing works
Self-citationFunctional Patent Classification
Bonaccorsi, A. J., Fantoni, G., Apreda, R., et al. (2019) · Springer handbooks · doi:10.1007/978-3-030-02511-3_40 · Cited by 11 · see citing works
Self-citationEvolution monitoring for innovation sources using patent cluster analysis
You, H., Li, M., Jiang, J., et al. (2017) · Scientometrics · doi:10.1007/s11192-017-2318-x · Cited by 10 · see citing works
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Industry 4.0 technologies: Implementation patterns in manufacturing companies
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.01.004 · Cited by 2,958 · see citing works
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Zangiacomi, A., Pessot, E., Fornasiero, R., Bertetti, M., & Sacco, M. (2020) · Production Planning & Control · doi:10.1080/09537287.2019.1631468 · Cited by 280 · see citing works
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- Authors
- Chiarello, F., Trivelli, L., Bonaccorsi, A., & Fantoni, G.
- Affiliations
- University of Pisa (IT)
- Corresponding author
- Chiarello, Filippo
- Venue
- Computers in Industry
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 100
- Pages
- 244-257
- ISSN
- 0166-3615 (ISSN-L)
- OpenAlex
- W2804640380
- Cited by
- 230
- References
- 74
- Citations by year
- 2026: 9 · 2025: 15 · 2024: 15 · 2023: 40 · 2022: 45 · 2021: 44 · 2020: 40 · 2019: 20 · 2018: 2
- FWCI
- 21.90
- Type
- journal article
- Language
- en
- Open access
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Computers in Industry (publishedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Social Sciences › Arts and Humanities › Language and Linguistics › linguistics and terminology studies
- Keywords
- Industry 4.0, Wikipedia, semantic knowledge extraction, terminology standardization, shared vocabulary, technology mapping, reference architecture
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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