Title | ||
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Towards a semantic keyword search over industrial knowledge graphs (extended abstract). |
Abstract | ||
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Knowlege graphs have become powerful assets for enhancing search and data integration and are now widely used in both academia and industry. Existing semantics of keyword search over knowledge graphs, especially in industrial context, has limitations. In this extended abstract we discuss these limitations and ingredients for alternative semantics. |
Year | DOI | Venue |
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2017 | 10.1109/BigData.2017.8258109 | IEEE BigData |
Keywords | DocType | Citations |
Semantics,RDF,Data integration,Ontology (information science),Information retrieval,Computer science,Graph,Keyword search,Knowledge graph | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gong Cheng | 1 | 0 | 2.70 |
Evgeny Kharlamov | 2 | 791 | 68.18 |