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- 01HSB7818PH6PG7BZZ4N004989 classification C1.
- 01HSB7818PH6PG7BZZ4N004989 date "2023".
- 01HSB7818PH6PG7BZZ4N004989 language "eng".
- 01HSB7818PH6PG7BZZ4N004989 type conference.
- 01HSB7818PH6PG7BZZ4N004989 hasPart 01HSB7AWSQ66DB02R9A38E5AZ0.pdf.
- 01HSB7818PH6PG7BZZ4N004989 subject "Technology and Engineering".
- 01HSB7818PH6PG7BZZ4N004989 issn "1613-0073".
- 01HSB7818PH6PG7BZZ4N004989 presentedAt urn:uuid:7d5c559e-ebf1-4c36-87a0-075e5577aab3.
- 01HSB7818PH6PG7BZZ4N004989 volume "3565".
- 01HSB7818PH6PG7BZZ4N004989 abstract "The upcoming RDF 1.2 recommendation is scheduled to introduce the concept of quoted triples, which allows statements to be made about other statements. Since quoted triples en‐ able new forms of data access in SPARQL 1.2, in the form of quoted triple patterns, there is a need for new indexing strategies that can efficiently handle these data access patterns. As such, we explore and evaluate different in-memory indexing approaches for quoted triples. In this paper, we investigate four indexing approaches, and evaluate their performance over an artificial dataset with custom triple pattern queries. Our findings show that the so-called in‐ dexed quoted triples dictionary vastly outperforms other approaches in terms of query execu‐ tion time at the cost of increased storage size and ingestion time. Our work shows that index‐ ing quoted triples in a dictionary separate from non-quoted RDF terms achieves good perfor‐ mance, and can be implemented using well-known indexing techniques into existing systems. Therefore, we illustrate that the addition of quoted triples into the RDF stack can be achieved in a performant manner.".
- 01HSB7818PH6PG7BZZ4N004989 author 115DF312-F0EE-11E1-A9DE-61C894A0A6B4.
- 01HSB7818PH6PG7BZZ4N004989 author 2C0A9B2A-F0EE-11E1-A9DE-61C894A0A6B4.
- 01HSB7818PH6PG7BZZ4N004989 dateCreated "2024-03-19T11:23:47Z".
- 01HSB7818PH6PG7BZZ4N004989 dateModified "2024-11-28T00:13:59Z".
- 01HSB7818PH6PG7BZZ4N004989 editor urn:uuid:202f2d9e-b35f-4a18-9e38-b95ca9e4de95.
- 01HSB7818PH6PG7BZZ4N004989 editor urn:uuid:328f6c36-e274-4347-8bcd-c52efbe6cd67.
- 01HSB7818PH6PG7BZZ4N004989 editor urn:uuid:4a74924e-f6a5-4ad3-ad3b-7bd6d8ec2507.
- 01HSB7818PH6PG7BZZ4N004989 editor urn:uuid:7e5d85c3-16e0-4ee1-a3aa-2a3c3fde7409.
- 01HSB7818PH6PG7BZZ4N004989 editor urn:uuid:af1ea863-95a4-4549-8a48-e08cb7dac9b5.
- 01HSB7818PH6PG7BZZ4N004989 editor urn:uuid:b9541eaf-f677-46ca-b8ec-29a89a7fc4aa.
- 01HSB7818PH6PG7BZZ4N004989 editor urn:uuid:ee8c69f5-13a9-446f-a2fc-c6ca47c5fe01.
- 01HSB7818PH6PG7BZZ4N004989 name "In-memory dictionary-based indexing of quoted RDF triples".
- 01HSB7818PH6PG7BZZ4N004989 pagination urn:uuid:b6e2c2a8-0c26-4ec5-81d8-742f3f8e9c0e.
- 01HSB7818PH6PG7BZZ4N004989 sameAs LU-01HSB7818PH6PG7BZZ4N004989.
- 01HSB7818PH6PG7BZZ4N004989 sourceOrganization urn:uuid:05b25030-814f-4fc5-9f72-4c51f30fd207.
- 01HSB7818PH6PG7BZZ4N004989 sourceOrganization urn:uuid:55923eb0-179e-47c6-8b4a-920ece833060.
- 01HSB7818PH6PG7BZZ4N004989 type C1.