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ALEX: Automatic Link Exploration in Linked Data

Summary: ALEX starts from candidate links and uses user feedback on query results to improve link quality. It discovers new links near approved ones with Monte-Carlo reinforcement learning, preserving precision. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5107
Venue
SIGMOD
Year
2015
Pagerank
5.4403598e-05
Overall Rank
8,372 | 42.57%
DOI
10.1145/2723372.2749428

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{elroby_sigmod15,
        title = {{ALEX: Automatic Link Exploration in Linked Data}},
        author = {El-Roby, Ahmed and Aboulnaga, Ashraf},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2749428},
        url = {https://dl.acm.org/doi/10.1145/2723372.2749428},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
4,056 A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs 2020 VLDB 6.9344762e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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