The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Principles of dataspace systems
Abstract
The most acute information management challenges today stem from organizations relying on a large number of diverse, interrelated data sources, but having no means of managing them in a convenient, integrated, or principled fashion. These challenges arise in enterprise and government data management, digital libraries, "smart" homes and personal information management. We have proposed dataspaces as a data management abstraction for these diverse applications and DataSpace Support Platforms (DSSPs) as systems that should be built to provide the required services over dataspaces. Unlike data integration systems, DSSPs do not require full semantic integration of the sources in order to provide useful services. This paper lays out specific technical challenges to realizing DSSPs and ties them to existing work in our field. We focus on query answering in DSSPs, the DSSP's ability to introspect on its content, and the use of human attention to enhance the semantic relationships in a dataspace.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Why and Where: A Characterization of Data Provenance
Buneman, P., Khanna, S., & Wang-Chiew, T. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44503-x_20 · Cited by 1,334
Cited by
(2006) · doi:10.5555/1182635.1164130 · Cited by 553
Bizer, C., Heath, T., & Berners-Lee, T. (2011) · Semantic Services, Interoperability and Web Applications · doi:10.4018/978-1-60960-593-3.ch008 · Cited by 426
Linked Data - The Story So Far
Bizer, C., Heath, T., & Berners-Lee, T. (2023) · Linking the World’s Information · doi:10.1145/3591366.3591378 · Cited by 319
Information integration in the enterprise
Bernstein, P. A., & Haas, L. M. (2008) · Communications of the ACM · doi:10.1145/1378727.1378745 · Cited by 258
Metadata
- Authors
- Halevy, A., Franklin, M., & Maier, D.
- Venue
- Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
- Publisher
- ACM
- Published
- 2006-06-26
- Pages
- 1-9
- OpenAlex
- W2029554959
- Cited by
- 346
- References
- 1
- FWCI
- 24.25
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Principles of dataspace systems. https://app.cochat.ai/papers/10.1145/1142351.1142352
- The paper
- Halevy, A., Franklin, M., & Maier, D. (2006). Principles of dataspace systems. Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems. https://doi.org/10.1145/1142351.1142352
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
