Graph databases in the browser: using LevelGraph to explore New Delhi

Summary: Introduces LevelGraph, an easy-to-use graph-database layer for web applications that lowers the barrier to embedding and querying graph data in the browser. A New Delhi tourist-network explorer demonstrates interactive traversal and application-oriented graph management. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 11447
Venue: VLDB
Year: 2016
Pagerank: 5.093636e-05
Overall Rank: 12,064 | 17.23%
DOI: 10.14778/3007263.3007286

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Antonio Maccioni (Roma Tre University)
2. Matteo Collina (NearForm)

BibTeX Citation

@article{maccioni_vldb16,
        title = {{Graph databases in the browser: using LevelGraph to explore New Delhi}},
        author = {Maccioni, Antonio and Collina, Matteo},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1469--1472},
        doi = {10.14778/3007263.3007286},
        url = {https://doi.org/10.14778/3007263.3007286},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
542	Hexastore: Sextuple Indexing for Semantic Web Data Management	2008	VLDB	0.00016838296
6,326	XQuery in the Browser	2008	SIGMOD	5.912481e-05

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