Constructing Knowledge Graphs from Data Catalogues

作者: Adegboyega Ojo , Oladipupo Sennaike

DOI: 10.1007/978-3-030-36987-3_6

关键词: Self organising mapsValue (mathematics)GovernmentOpen dataData scienceKnowledge graphContext (language use)Computer science

摘要: We have witnessed about a decade’s effort in opening up government institutions around the world by making data their services, performance and programmes publicly available on open portals. While these efforts yielded some economic social value particularly context of city ecosystems, there is general acknowledgment that promises are far from being realised. A major barrier to better exploitation difficulty finding datasets interests those high This article describes how implicit relatedness can be revealed generating knowledge graph over catalogues. Specifically, we generate based self-organizing map (SOM) constructed an catalogue. Following this, show generated enables characterisation sociometric profiles as well dataset recommendation.

参考文章(28)
Qusai Shambour, Jie Lu, Government-to-Business Personalized e-Services Using Semantic-Enhanced Recommender System Electronic Government and the Information Systems Perspective. pp. 197- 211 ,(2011) , 10.1007/978-3-642-22961-9_16
Brandon Pincombe, Michael D. Lee, Matthew Welsh, An Empirical Evaluation of Models of Text Document Similarity Proceedings of the Annual Meeting of the Cognitive Science Society. ,vol. 27, ,(2005)
Siddharth Patwardhan, Satanjeev Banerjee, Ted Pedersen, Using measures of semantic relatedness for word sense disambiguation international conference on computational linguistics. pp. 241- 257 ,(2003) , 10.1007/3-540-36456-0_24
Adegboyega Ojo, Edward Curry, Fatemeh Ahmadi Zeleti, A Tale of Open Data Innovations in Five Smart Cities hawaii international conference on system sciences. pp. 2326- 2335 ,(2015) , 10.1109/HICSS.2015.280
T. Kohonen, The self-organizing map Proceedings of the IEEE. ,vol. 78, pp. 1464- 1480 ,(1990) , 10.1109/5.58325
Teuvo Kohonen, Samuel Kaski, Krista Lagus, Jarkko Salojärvi, Jukka Honkela, Vesa Paatero, Antti Saarela, Self organization of a massive text document collection Kohonen Maps. pp. 171- 182 ,(1999) , 10.1016/B978-044450270-4/50013-9
Bruce S. Weir, Amy D. Anderson, Amanda B. Hepler, Genetic relatedness analysis: modern data and new challenges. Nature Reviews Genetics. ,vol. 7, pp. 771- 780 ,(2006) , 10.1038/NRG1960
Elisabeth Nocker, Harry P. Bowen, Christian Stadler, Kurt Matzler, Capturing Relatedness: Comprehensive Measures based on Secondary Data British Journal of Management. ,vol. 27, pp. 197- 213 ,(2016) , 10.1111/1467-8551.12124
Mark Stevenson, Mark A. Greenwood, A Semantic Approach to IE Pattern Induction meeting of the association for computational linguistics. pp. 379- 386 ,(2005) , 10.3115/1219840.1219887
Evgeniy Gabrilovich, Shaul Markovitch, Computing semantic relatedness using Wikipedia-based explicit semantic analysis international joint conference on artificial intelligence. pp. 1606- 1611 ,(2007)