ConceptNet

ConceptNet: a practical commonsense reasoning toolkit. ConceptNet is a freely available commonsense knowledge base and natural-language-processing tool-kit which supports many practical textual-reasoning tasks over real-world documents including topic-gisting, analogy-making, and other context oriented inferences. The knowledge base is a semantic network presently consisting of over 1.6 million assertions of commonsense knowledge encompassing the spatial, physical, social, temporal, and psychological aspects of everyday life. ConceptNet is generated automatically from the 700 000 sentences of the Open Mind Common Sense Project — a World Wide Web based collaboration with over 14 000 authors


References in zbMATH (referenced in 18 articles )

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  1. Bordes, Antoine; Glorot, Xavier; Weston, Jason; Bengio, Yoshua: A semantic matching energy function for learning with multi-relational data (2014)
  2. Olsher, Daniel: Semantically-based priors and nuanced knowledge core for big data, social AI, and language understanding (2014)
  3. Veale, Tony; Li, Guofu: Analogy as an organizational principle in the construction of large knowledge-bases (2014)
  4. Zarri, Gian Piero: Sentiments analysis at conceptual level making use of the Narrative Knowledge Representation Language (2014)
  5. Das, Shubhomoy; Moore, Travis; Wong, Weng-Keen; Stumpf, Simone; Oberst, Ian; McIntosh, Kevin; Burnett, Margaret: End-user feature labeling: supervised and semi-supervised approaches based on locally-weighted logistic regression (2013)
  6. Zang, Liang-Jun; Cao, Cong; Cao, Ya-Nan; Wu, Yu-Ming; Cao, Cun-Gen: A survey of commonsense knowledge acquisition (2013)
  7. Erdem, Esra; Patoglu, Volkan: Applications of action languages in cognitive robotics (2012)
  8. Ferreira-Satler, Mateus; Romero, Francisco P.; Menendez-Dominguez, Victor H.; Zapata, Alfredo; Prieto, Manuel E.: Fuzzy ontologies-based user profiles applied to enhance e-learning activities (2012)
  9. Ovchinnikova, Ekaterina: Integration of world knowledge for natural language understanding (2012)
  10. Kapre, Nachiket; Dehon, André: An NoC traffic compiler for efficient FPGA implementation of sparse graph-oriented workloads (2011)
  11. Castelli, Gabriella; Mamei, Marco; Rosi, Alberto; Zambonelli, Franco: Extracting high-level information from location data: the W4 diary example (2009)
  12. Iranzo, Pascual Julián; Rubio-Manzano, Clemente; Gallardo-Casero, Juan: Bousi prolog: a prolog extension language for flexible query answering (2009)
  13. Serrano-Guerrero, Jesús; Romero, Francisco P.; Olivas, Jose A.; de la Mata, Javier; Soto, Andrés: BUDI: Architecture for fuzzy search in documental repositories (2009)
  14. Ferecatu, Marin; Boujemaa, Nozha; Crucianu, Michel: Semantic interactive image retrieval combining visual and conceptual content description (2008)
  15. Harrington, Brian; Clark, Stephen: ASKNet: creating and evaluating large scale integrated semantic networks (2008)
  16. Lin, Chia-Hung; Hong, Jen-Shin; Doerr, Martin: Issues in an inference platform for generating deductive knowledge: a case study in cultural heritage digital libraries using the CIDOC CRM (2008)
  17. Dvořák, A.; Novák, V.: Towards automatic modeling of economic texts (2007)
  18. Mani, Ankur; Sundaram, Hari: Modeling user context with applications to media retrieval (2007)