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KOGNAC: Efficient Encoding of Large Knowledge Graphs [article]

Jacopo Urbani, Sourav Dutta, Sairam Gurajada, Gerhard Weikum
2016 arXiv   pre-print
Many Web applications require efficient querying of large Knowledge Graphs (KGs).  ...  We propose KOGNAC, a dictionary-encoding algorithm designed to improve SPARQL querying with a judicious combination of statistical and semantic techniques.  ...  Given the encoding runtime, this improvement comes at little cost. Conclusions We proposed KOGNAC, an algorithm for efficient encoding of RDF terms in large Knowledge Graphs.  ... 
arXiv:1604.04795v2 fatcat:ejs3c7kg45dqhpxd6lypidvxoi

Efficient knowledge management for named entities from text [article]

Sourav Dutta, Universität Des Saarlandes, Universität Des Saarlandes
2017
Encoding of knowledge bases forms a key step for efficient storage of the underlying graphical structure representing the knowledge base, wherein a dictionary mapping the original entity strings to numerical  ...  The harvested knowledge is then succinctly represented, typically as a labeled graph structure, by large knowledge bases such as YAGO, DBPedia, Freebase, etc., forming the backbone of Web-scale applications  ...  . • KOGNAC: Efficient encoding of knowledge bases -Entity attributes and relationships present in knowledge bases are typically represented as graphs and are generally stored and queried using RDF engines  ... 
doi:10.22028/d291-26701 fatcat:ztswz6crazde7fd54izg5gh3ka