The Semantic Web

By G. Goos, J. Hartmanis, Jan van Leeuwen, David Hutchison, Jeff Z. Pan, Huajun Chen, Hong-Gee Kim, Juan-Zi Li, Zhe Wu, Ian Horrocks and 2 more. 2011

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

What do we need to build explainable AI systems for the medical domain? (2017, neutral): “The formalization of natural language has been a long-standing eﬀort of philosophy, starting from the Platonic cave of ideas and culminating in the vision of the Semantic Web (Berners-Lee et al., 2001).”
A Review of Relational Machine Learning for Knowledge Graphs (2015, neutral): “More recently, it has been used in the Semantic Web community with the purpose of creating a ‘‘web of data’’ that is readable by machines [14].”
The Internet of Things: A Survey from the Data-Centric Perspective (2013, unknown): “The Semantic Web vision [73] was to make the World Wide Web more intelligent by layering the networked Web content with semantics.”
Machine Common Sense Concept Paper (2018, background): “…and qualitative reasoning [8]), less formal knowledge‐based approaches (e.g., frames [9], and scripts [10]), and a number of efforts to create logic‐based ontologies (e.g., WordNet [11], VerbNet [12], SUMO [13], YAGO [14], DOLCE [15], and hundreds of smaller ontologies on the Semantic Web [16]).”
Entity-Centric Information Access with Human in the Loop for the Biomedical Domain (2017, methodology): “Later, knowledge management using ontologies was driven by the Semantic Web vision (Berners-Lee et al., 2001).”
Rethinking Search: Making Experts out of Dilettantes (2021, unknown): “During the early 2000s, research momentum around the Semantic Web [5] and pre-existing “old-style” AI research gave rise to graph-structured knowledge bases, including Freebase [6], WikiData [91], the Google Knowledge Graph [77], and Microsoft Satori [68].”
Ontology Matching (2007, unknown): “Ontology layer: This is the second layer which, in turn, is further divided into four levels, following the ‘layer cake’ of (Berners-Lee et al. 2001).”
A software engineering approach to ontology building (2009, unknown): “As a result of a long standardization effort, the Web Ontology Language (OWL) [15] [WR9] is currently the main candidate for encoding an ontology to be used on the Semantic Web.”
Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications (2020, unknown): “There is also the interesting question of how much the digital twin makes use of processes such as data mining [101] via tools such as the semantic web [102]; this also relates to the digital twin as part of the Internet of Things [34].”
PIDGIN: ontology alignment using web text as interlingua (2013, unknown): “The growth of the Semantic Web [4] has contributed significantly to the construction and availability of such KBs.”
Digital Literacy: A Review of Literature (2020, unknown): “0 led to the introduction of using social media for collaboration (kimbrell, 2013; Aghaei et al., 2012; Lee et al., 2001).”
Linked Data: Evolving the Web into a Global Data Space (2011, unknown): “The W3C Interest Group Note Cool URIs for the Semantic Web [98] describes and motivates both strategies in detail.”
The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience (2011, methodology): “Given that the informatics community is still converging on standards for interoperability between projects, we hope that our demonstration of the effectiveness of Semantic Web technologies will provide further impetus for their use in such projects.”
Designs for explaining intelligent agents (2009, unknown): “The vision of the semantic web (Berners-Lee et al., 2001) describes a distributed computing environment characterized by autonomous, composable web services being used”
Towards a Definition of Knowledge Graphs (2016, unknown): “Frequently mentioned implementations are DBPedia, YAGO (Yet Another Great Ontology), Freebase, Wikidata, Yahoo’s semantic search assistant tool Spark, Google’s Knowledge Vault, Microsoft’s Satori and Facebook’s entity graph [7, 14, 16, 11].”