The DOI matches its Crossref record.
Publishing on the semantic web
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Such linked, structured data form the basis of the semantic web, an extension of the WWW that promises improved information management and search capability61.”
From The BioPAX community standard for pathway data sharing (2010) · cites this paper as [61]
Citations
Cited by
Sorted by citations
The BioPAX community standard for pathway data sharing
Demir, E., Cary, M. P., Paley, S., Fukuda, K., Lemer, C., Vastrik, I., Wu, G., D'Eustachio, P., Schaefer, C., Luciano, J., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1666 · Cited by 745
CellML: its future, present and past
Lloyd, C. M., Halstead, M. D. B., & Nielsen, P. F. (2004) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2004.01.004 · Cited by 499
Big data: From beginning to future
Yaqoob, I., Hashem, I. A. T., Gani, A., Mokhtar, S., Ahmed, E., Anuar, N. B., & Vasilakos, A. V. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.07.009 · Cited by 410
Fundamentals of Clinical Data Science
Kubben, P., Dumontier, M., & Dekker, A. L. A. J. (2018) · Springer eBooks · doi:10.1007/978-3-319-99713-1 · Cited by 258
Drug repositioning for orphan diseases
Sardana, D., Zhu, C., Zhang, M., Gudivada, R. C., Yang, L., & Jegga, A. G. (2011) · Briefings in Bioinformatics · doi:10.1093/bib/bbr021 · Cited by 228
Defrosting the Digital Library: Bibliographic Tools for the Next Generation Web
Hull, D., Pettifer, S. R., & Kell, D. B. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000204 · Cited by 209
A wiki for the life sciences where authorship matters
Hoffmann, R. (2008) · Nature Genetics · doi:10.1038/ng.f.217 · Cited by 181
Extracting macroscopic information from Web links
Thelwall, M. A. (2001) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.1182 · Cited by 176
Biological knowledge management: the emerging role of the Semantic Web technologies
Antezana, E., Kuiper, M. T. R., & Mironov, V. (2009) · Briefings in Bioinformatics · doi:10.1093/bib/bbp024 · Cited by 168
Feature-based opinion mining through ontologies
Peñalver-Martínez, I., García‐Sánchez, F., Valencia‐García, R., et al. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.03.022 · Cited by 158
“The semantic Web was conceived with the aim of adding semantics to the data published on the Web (i.e., establish the meaning of the data), thus allowing machines to be able to process these data in a way similar to that of humans (Berners-Lee & Hendler, 2001).”
MethodUser Evaluation of Websites: From First Impression to Recommendation
Thielsch, M. T., Blotenberg, I., & Jaron, R. (2013) · Interacting with Computers · doi:10.1093/iwc/iwt033 · Cited by 149
“Such objective features of website content are focused for example when examining the World Wide Web as a semantic web (Berners-Lee, 2001; Hendler, 2003), when optimizing content indexing for search engines or for information searches in general (e.g., Fauzi & Belkhatir, 2010; Hendler et al., 2008;…”
BackgroundThelwall, M. A., Vaughan, L. Q., & Björneborn, L. (2005) · Annual Review of Information Science and Technology · doi:10.1002/aris.1440390110 · Cited by 149
From XML to RDF: how semantic web technologies will change the design of 'omic' standards
Wang, X., Gorlitsky, R., & Almeida, J. S. (2005) · Nature Biotechnology · doi:10.1038/nbt1139 · Cited by 141
“In this regard, RDF, by operating at semantic level, offers a uniform data representation medium that permits system interoperability through shared ontolog”
BackgroundQuinn, D., Chen, L., & Mulvenna, M. D. (2012) · International Journal of Ambient Computing and Intelligence · doi:10.4018/jaci.2012070104 · Cited by 139
Hastings, J., Chepelev, L. L., Willighagen, E., Adams, N., Steinbeck, C., & Dumontier, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025513 · Cited by 127
Consequences of XBRL Standardization on Financial Statement Data
Vasarhelyi, M. A., Chan, D., & Krahel, J. P. (2012) · Journal of Information Systems · doi:10.2308/isys-10258 · Cited by 113
“As we approach the semantic web (‘‘Web 3.0’’), nonfinancial content will include markups that enable machines to understand context (Berners-Lee and Hendler 2001).”
InfluentialLife sciences on the Semantic Web: the Neurocommons and beyond
Ruttenberg, A., Rees, J., Matthias Samwald, A., & Marshall, M. S. (2009) · Briefings in Bioinformatics · doi:10.1093/bib/bbp004 · Cited by 102
Exposing multi-relational networks to single-relational network analysis algorithms
Rodriguez, M. A., & Shinavier, J. (2009) · Journal of Informetrics · doi:10.1016/j.joi.2009.06.004 · Cited by 101
“Furthermore, the multi-relational network is the foundational data structure of the emerging Web of Data [16, 17].”
BackgroundThe use of web search engines in information science research
Bar‐Ilan, J. (2004) · Annual Review of Information Science and Technology · doi:10.1002/aris.1440380106 · Cited by 102
Recent trends in knowledge graphs: theory and practice
Tiwari, S. M., AL-Aswadi, F. N., & Gaurav, D. (2021) · Soft Computing · doi:10.1007/s00500-021-05756-8 · Cited by 105
Mashups mix data into global service
Butler, D. (2006) · Nature · doi:10.1038/439006a · Cited by 97
Time to Organize the Bioinformatics Resourceome
Cannata, N., Merelli, E., & Altman, R. B. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010076 · Cited by 92
Seeking a New Biology through Text Mining
Rzhetsky, A., Seringhaus, M. R., & Gerstein, M. (2008) · Cell · doi:10.1016/j.cell.2008.06.029 · Cited by 90
“Although it is still impossible to compute with unstructured text as easily as with structured databases, there is a possible combination of community efforts and computational advances that can help to bridge the gap called the semantic web (Berners-Lee and Hendler, 2001).”
BackgroundThe international glycan repository GlyTouCan version 3.0
Fujita, A., Aoki, N. P., Shinmachi, D., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa947 · Cited by 86
HealthRecSys: A semantic content-based recommender system to complement health videos
Sánchez-Bocanegra, C. L., Sevillano, J. L., Rizo, C., Civit, A., & Fernández-Luque, L. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0431-7 · Cited by 84
“Recent advancements in online recommender systems are enhanced by the “ Semantic Web ” [30], which allows for the extraction of vast amounts of information through metadata mining and artificial intelligence techniques [31].”
BackgroundTopic Extraction and Interactive Knowledge Graphs for Learning Resources
Badawy, A., Fisteus, J. A., Mahmoud, T. M., et al. (2021) · Sustainability · doi:10.3390/su14010226 · Cited by 84
“After assigning those main topics to the learning resource we will establish the base for the dynamic interactive knowledge graph that will contain all the learning resources. knowledge graphs from the text in learning resources is another key platform, where we can focus on self-directed learning…”
BackgroundAn Introduction to Model Versioning
Brosch, P., Kappel, G., Langer, P., et al. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30982-3_10 · Cited by 81
A hybrid fault diagnosis method for mechanical components based on ontology and signal analysis
Zhou, Q., Yan, P., Liu, H., & Yang, X. (2017) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-017-1351-1 · Cited by 80
“Berners-Lee and Hendler (2001) proposed the concept of semantic web.”
BackgroundCarriço, J. A., Sabat, A., Friedrich, A. W., Ramirez, M., & Collective on behalf of the ESCMID Study Group (2013) · Eurosurveillance · doi:10.2807/ese.18.04.20382-en · Cited by 70
Traverso, A., van Soest, J., Wee, L., et al. (2018) · Medical Physics · doi:10.1002/mp.12879 · Cited by 65
Murray‐Rust, P., Rzepa, H. S., Williamson, M. J., et al. (2004) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci034244p · Cited by 60
Mining the bibliome: searching for a needle in a haystack?
Grivell, L. A. (2002) · EMBO Reports · doi:10.1093/embo-reports/kvf059 · Cited by 59
Time-aware domain-based social influence prediction
Abu-Salih, B., Chan, K. Y., Al-Kadi, O. S., Al-Tawil, M., Wongthongtham, P., Issa, T., Saadeh, H., Al-Hassan, M., Bremie, B., & Albahlal, A. (2020) · Journal Of Big Data · doi:10.1186/s40537-020-0283-3 · Cited by 58
An introduction to the Semantic Web for health sciences librarians.
Robu, I., Robu, V., & Thirion, B. (2006) · PubMed · Cited by 56
Biological data integration using Semantic Web technologies
Pasquier, C. (2008) · Biochimie · doi:10.1016/j.biochi.2008.02.007 · Cited by 52
The 18 benefits of using ecosystem services classification systems
Finisdore, J., Rhodes, C. R., Haines-Young, R. H., Maynard, S., Wielgus, J., Dvarskas, A., Houdet, J., Quétier, F., Lamothe, K. A., Ding, H., et al. (2020) · Ecosystem Services · doi:10.1016/j.ecoser.2020.101160 · Cited by 53
Metabolomic biomarkers: search, discovery and validation
Kell, D. B. (2007) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.7.4.329 · Cited by 52
When One and One Gives More than Two: Challenges and Opportunities of Integrative Omics
Choi, H., & Pavelka, N. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2011.00105 · Cited by 52
“, which entities are represented, and which are their relations (Berners-Lee and Hendler, 2001).”
BackgroundyOWL: An ontology-driven knowledge base for yeast biologists
Villanueva‐Rosales, N., & Dumontier, M. J. (2008) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.05.001 · Cited by 47
Linking publication, gene and protein data
Kersey, P. J., & Apweiler, R. (2006) · Nature Cell Biology · doi:10.1038/ncb1495 · Cited by 42
“These are common problems for programmers attempting to mine information available on the internet, not just those working with biological data, and there is growing interest among bioinformaticians in adopting the emerging 'semantic web' technologie”
BackgroundInternet‐Based Integrated Environmental Assessment Using Ontologies to Share Computational Models
Kraines, S. B., Batres, R., Koyama, M., et al. (2005) · Journal of Industrial Ecology · doi:10.1162/1088198054821690 · Cited by 40
A Semantic Web Management Model for Integrative Biomedical Informatics
Deus, H., Stanislaus, R., Veiga, D. F. T., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002946 · Cited by 40
Representation and use of chemistry in the global electronic age
Murray‐Rust, P., Rzepa, H. S., Tyrrell, S. M., & Zhang, Y. (2004) · Organic & Biomolecular Chemistry · doi:10.1039/b410732b · Cited by 39
A model-driven approach to machine learning and software modeling for the IoT
Moin, A., Challenger, M., Badii, A., & Günnemann, S. (2022) · Software & Systems Modeling · doi:10.1007/s10270-021-00967-x · Cited by 38
“0 or the Semantic Web was introduced [3].”
BackgroundWebb, A. J., Þórisson, G. Á., & Brookes, A. J. (2011) · Human Mutation · doi:10.1002/humu.21469 · Cited by 38
“Besides commonly used formats for Web content syndication such as RSS and Atom, technologies and formats such as the resource description framework (RDF) may be employed to provide data and leverage the potentially immense power of the Semantic Web [Berners-Lee and Hendler, 2001; Berners-Lee et al., 2001]—a self-descr…”
MethodPhylotastic! Making tree-of-life knowledge accessible, reusable and convenient
Stoltzfus, A., Lapp, H., Matasci, N., Deus, H., Sidlauskas, B. L., Zmasek, C. M., Vaidya, G., Pontelli, E., Cranston, K., Vos, R. A., et al. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-158 · Cited by 36
“Standards and technologies for the semantic web [39] seem well positioned to address the nature of the functional requirements for the tree-store.”
BackgroundKuhn, T., & Dumontier, M. (2017) · Data Science · doi:10.3233/ds-170010 · Cited by 39
“In 2001, Tim Berners-Lee and James Hendler sketched how they expect researchers in the future to produce machine-readable descriptions of their experiments and findings, in the form of mark-up of their research papers or as independent representations made public on the web [7].”
Life Sciences and the web: a new era for collaboration
Sagotsky, J., Zhang, L., Wang, Z., Martin, S., & Deisboeck, T. S. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.39 · Cited by 38
“jpg" NDATA ITEM>]> Introduction Over the last decade, the World Wide Web has forever changed the way people communicate, do business, and retrieve information”
BackgroundOntology-based approach to data exchanges for robot navigation on construction sites
Karimi, S., Iordanova, I., & St-Onge, D. (2021) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2021.029 · Cited by 37
Informatics in Radiology: Radiology Gamuts Ontology: Differential Diagnosis for the Semantic Web
Budovec, J. J., Lam, C. A., & Kahn, C. E. (2013) · Radiographics · doi:10.1148/rg.341135036 · Cited by 36
More phenomenology in psychiatry? Applied ontology as a method towards integration
Larsen, R. R., Maschião, L. F., Piedade, V. L., Messas, G. P., & Hastings, J. (2022) · The Lancet Psychiatry · doi:10.1016/s2215-0366(22)00156-0 · Cited by 39
Kraines, S. B., Guo, W., Kemper, B., et al. (2006) · Lecture notes in computer science · doi:10.1007/11926078_60 · Cited by 34
The global environmental agenda urgently needs a semantic web of knowledge
Balbi, S., Bagstad, K. J., Magrach, A., Sanz, M. J., Aguilar‐Amuchastegui, N., Giupponi, C., & Villa, F. (2022) · Environmental Evidence · doi:10.1186/s13750-022-00258-y · Cited by 34
Research on a configurable method for fault diagnosis knowledge of machine tools and its application
Zhou, Q., Yan, P., Liu, H., et al. (2017) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-1268-z · Cited by 32
Progress and Challenges on Entity Alignment of Geographic Knowledge Bases
Sun, K., Zhu, Y., & Song, J. (2019) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi8020077 · Cited by 31
Sateli, B., & Witte, R. (2015) · PeerJ Computer Science · doi:10.7717/peerj-cs.37 · Cited by 31
Dumova, T., & Fiordo, R. (2009) · doi:10.4018/978-1-60566-368-5 · Cited by 31
The markup is the model: Reasoning about systems biology models in the Semantic Web era
Kell, D. B., & Mendes, P. (2007) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2007.10.023 · Cited by 32
“In a similar way, the Semantic Web (e.g. Alesso and Smith, 2006; Baker and Cheung, 2007; Berners-Lee and Hendler, 2001; Berners-Lee et al., 2006; Fensel et al., 2003; Stevens et al., 2006; Taylor et al., 2006), will allow the semantic annotation of such XML documents using the Resource Description…”
MethodExpressing High-Level Scientific Claims with Formal Semantics
Bucur, C.-I., Kuhn, T., Ceolin, D., & van Ossenbruggen, J. (2021) · International Conference on Knowledge Capture · doi:10.1145/3460210.3493561 · Cited by 32
Promoting data quality and reuse in archaeology through collaborative identifier practices
Kansa, E. C., & Kansa, S. W. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2109313118 · Cited by 40
An approach based on the ifcOWL ontology to support indoor navigation
González, E. J., Piñeiro, J. D., Toledo, J. T., et al. (2020) · Egyptian Informatics Journal · doi:10.1016/j.eij.2020.02.008 · Cited by 29
Assessing scientific collaboration through coauthorship and content sharing
Giuliani, F., Petris, M. P. D., & Nico, G. (2010) · Scientometrics · doi:10.1007/s11192-010-0264-y · Cited by 28
“Progresses in this field could be made also thanks to the development of the so called semantic web that aims at making information retrieval a simpler operation (Berners-Lee and Hendler 2001; Hendler 2003; Chen et al. 2009).”
BackgroundKeeping pace with the data: 2008 update on the Bioinformatics Links Directory
Brazas, M. D., FOX, J. A., Brown, T., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn399 · Cited by 28
OpenKG Chain: A Blockchain Infrastructure for Open Knowledge Graphs
Chen, H., Hu, N., Qi, G., et al. (2021) · Data Intelligence · doi:10.1162/dint_a_00095 · Cited by 26
“Knowledge is acquired through experience or education by perceiving, discovering and learning[1, 2].”
BackgroundKrewinkel, A., & Winkler, R. (2017) · PeerJ Computer Science · doi:10.7717/peerj-cs.112 · Cited by 24
Kraines, S. B., Batres, R., Kemper, B., et al. (2006) · Journal of Industrial Ecology · doi:10.1162/jiec.2006.10.4.37 · Cited by 24
“By providing these technologies, it is believed that a new generation of the World Wide Web, the Semantic Web, will emerge that can provide searching and matching mechanisms that are more powerful than conventional syntactic search mechanisms (Berners-Lee and Hendler 2001).”
BackgroundMortensen, H. M., Gromelski, M., Hench, V. K., Martens, M., Wittwehr, C., Kumar, S., Kumar, P. V., Audouze, K., Virvilis, V., Nymark, P. E. H., et al. (2025) · Computational Toxicology · doi:10.1016/j.comtox.2025.100368 · Cited by 24
“While data formats for machine readability, such as semantic web format [4] and ontology annotations [10], enable structured, computational processing of AOP information that can be interoperable with other (meta)data sources, and re-usable or reproducible, human interpretability focuses on…”
OGO: an ontological approach for integrating knowledge about orthology
Miñarro-Giménez, J. A., Madrid, M., & Fernández‐Breis, J. T. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-s10-s13 · Cited by 23
Arikuma, T., Yoshikawa, S., Azuma, R., et al. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-s6-s11 · Cited by 23
(Re)Use in Public Scientific Workflow Repositories
Starlinger, J., Cohen‐Boulakia, S., & Leser, U. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-31235-9_24 · Cited by 22
“the Internet was important for advancing science [6].”
BackgroundAbu-Salih, B., Bremie, B., Wongthongtham, P., Duan, K., Issa, T., Chan, K. Y., Alhabashneh, M., Albtoush, T., Alqahtani, S., Alqahtani, A., et al. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-15035-8_87 · Cited by 23
A global resource for computational chemistry
Murray‐Rust, P., Rzepa, H. S., Stewart, J. J. P., et al. (2005) · Journal of Molecular Modeling · doi:10.1007/s00894-005-0278-1 · Cited by 22
Machado, L. M. O., Souza, R. R., & Simões, M. D. G. (2019) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24111 · Cited by 21
“…question that arises in this scenario is the need to make the machines capable of reasoning similar to that of humans, resulting in an association with so-called Artificial Intelligence, which the makers of the SW, since the first articles, sought to exclude (Berners-Lee & Hendler, 2001, p. 1023).”
BackgroundContext-aware similarity assessment within semantic space formed in linked data
Zadeh, P. D. H., & Reformat, M. (2012) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-012-0154-7 · Cited by 20
“In order to publish data on the web of LD some principles have to be followed (Berners-Lee and Hendler 2001).”
BackgroundA Graph Analysis of the Linked Data CloudPreprint
Rodriguez, M. A. (2009) · arXiv (Cornell University) · doi:10.48550/arxiv.0903.0194 · Cited by 20
“Similarly, the Semantic Web is a distributed resource identifier repository [5].”
BackgroundSateli, B., Löffler, F., König‐Ries, B., et al. (2017) · PeerJ Computer Science · doi:10.7717/peerj-cs.121 · Cited by 19
“They enable automated110 systems to understand the meaning (semantics) and infer additional knowledge from111 published documents and data (Berners-Lee and Hendler, 2001; Shadbolt et al., 2006).112 Essential building blocks for the creation of structured, meaningful web content are113 information…”
BackgroundThe Semantic Web and healthcare consumers: a new challenge and opportunity on the horizon?
Eysenbach, G. (2003) · International Journal of Healthcare Technology and Management · doi:10.1504/ijhtm.2003.004165 · Cited by 19
Artificial intelligence for ocean science data integration: current state, gaps, and way forward
Sagi, T., Lehahn, Y., & Bar, K. (2020) · Elementa Science of the Anthropocene · doi:10.1525/elementa.418 · Cited by 20
Distributed ontology building as practical work
Randall, D., Procter, R., Lin, Y., et al. (2011) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.12.011 · Cited by 18
Tractable reasoning with vague knowledge using fuzzy $\mathcal{EL}^{++}$
Mailis, T., Stoilos, G., Simou, N., et al. (2012) · Journal of Intelligent Information Systems · doi:10.1007/s10844-012-0195-6 · Cited by 18
“Concepts like that of a “near” destination (Berners-Lee and Hendler 2001), a “high Quality” audio system (McGuinness 2003), “many” children, a “faulty” reactor (Horrocks and Sattler 1999), “soon” and many more, require special modeling features.”
Biomedical semantics in the Semantic Web
Splendiani, A., Burger, A., Paschke, A., et al. (2011) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-2-s1-s1 · Cited by 18
“of the potential of these technologies to address the increasing complexity of life sciences information dates back to 2001 [2], just after the completion of the Human Genome Project.”
BackgroundPractical Experiences for the Development of Educational Systems in the Semantic Web
Vera, M. D. M. S., Fernández‐Breis, J. T., Sánchez, J. L. S., et al. (2013) · Journal of New Approaches in Educational Research · doi:10.7821/naer.2.1.23-31 · Cited by 18
Drug Cocktail Optimization in Chemotherapy of Cancer
Preißner, S., Dunkel, M., Hoffmann, M. F., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051020 · Cited by 18
Racoceanu, D., & Capron, F. (2014) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2014.09.004 · Cited by 17
PharmaTrek: A Semantic Web Explorer for Open Innovation in Multitarget Drug Discovery
Carrascosa, M. C., López-Massaguer, O., & Mestres, J. (2012) · Molecular Informatics · doi:10.1002/minf.201200070 · Cited by 17
A Semantic Collaboration Method Based on Uniform Knowledge Graph
Li, Q., Cao, Z., Tanveer, M., Pandey, H. M., & Wang, C. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2960150 · Cited by 17
“He proposed the concept of semantic web for intelligent information processing and extraction [9].”
BackgroundChiba, H., Nishide, H., & Uchiyama, I. (2015) · PLoS ONE · doi:10.1371/journal.pone.0122802 · Cited by 17
An overview of cardiac systems biology
Sreenivasaiah, P. K., Rho, S., Kim, T.-Y., & Kim, D. H. (2008) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2007.12.005 · Cited by 16
Memórias da trajetória do repositório institucional da Universidade Federal do Rio Grande (FURG)
Lira, E. K. D. S., Miranda, A. C. D., & de Moraes, M. H. M. (2022) · doi:10.22477/isbn9786588816363.cap8 · Cited by 16
Gestão editorial do periódico científico AtoZ: novas práticas em informação e conhecimento
de Araújo, P. C., & Nobre, R. L. D. S. (2022) · doi:10.22477/isbn9786588816363.cap15 · Cited by 16
Managing educational resource in medicine: system design and integration
Pouliquen, B., Duff, F. L., Delamarre, D., et al. (2004) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2004.04.020 · Cited by 16
A novel tool for standardizing clinical data in a semantically rich model
Freedman, H. T., Williams, H., Miller, M. A., et al. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.yjbinx.2020.100086 · Cited by 16
Muri, C. D., Pulieri, M., Raho, D., et al. (2024) · Scientific Data · doi:10.1038/s41597-024-03669-3 · Cited by 16
“…findings of this study are discussed to highlight the key issues limiting the FAIRness and the flawless management of semantic artefacts in the environmental domain, and to provide a glimpse of existing gaps and challenges that prevent the advancements toward the envisioned web of linked data 18 .”
BackgroundPublicações científicas em ecossitemas de inovação
Rode, S. D. M., & da Silva, E. L. (2022) · doi:10.22477/isbn9786588816363.cap5 · Cited by 15
Tesauros de base conceitual: fundamentação teórica e fluxo para planejamento e operacionalização
Sales, L. F., & Costal, M. (2022) · doi:10.22477/isbn9786588816363.cap7 · Cited by 15
FOLIO: plataforma aberta de serviços de biblioteca criada para inovação contínua
Viana, M. M. M. (2022) · doi:10.22477/isbn9786588816363.cap11 · Cited by 15
How the New Web Generations are Changing Library and Information Services
Miranda, G. F., Gualtieri, F., & Coccia, P. (2010) · Medical Reference Services Quarterly · doi:10.1080/02763861003723200 · Cited by 15
Iida, K., Kawaguchi, S., Kobayashi, N., et al. (2011) · Plant and Cell Physiology · doi:10.1093/pcp/pcq202 · Cited by 15
Computational Chemistry Data Management Platform Based on the Semantic Web
Wang, B., Dobosh, P. A., Chalk, S. J., et al. (2016) · The Journal of Physical Chemistry A · doi:10.1021/acs.jpca.6b10489 · Cited by 15
Machine intelligence today: applications, methodology, and technology
Humm, B. G., Bense, H., Fuchs, M., et al. (2021) · Informatik-Spektrum · doi:10.1007/s00287-021-01343-1 · Cited by 15
Metadata
- Authors
- Berners-Lee, T., & Hendler, J.
- Affiliations
- University of Maryland, College Park (US)
- ORCID
- Hendler, James
- Venue
- Nature
- Published
- 2001-04
- Volume
- 410
- Issue
- 6832
- Pages
- 1023-1024
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1651004564
- Cited by
- 311
- References
- 0
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 8 · 2023: 6 · 2022: 28 · 2021: 9 · 2020: 17 · 2019: 17 · 2018: 11 · 2017: 18 · 2016: 10 · 2015: 14 · 2014: 14 · 2013: 15 · 2012: 21
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Physical Sciences › Computer Science › Information Systems › Library Science and Information Systems
- Social Sciences › Library and Information Sciences › Publishing and Scholarly Communication
- Keywords
- semantic web, scholarly publishing, scientific information, internet revolution
- MeSH terms
- Publishing, Internet
About these checks
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review