From databases to dataspaces: a new abstraction for information management

By M. Franklin, Alon Y. Halevy, David Maier. SGMD, 2005

885 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/2abb5e9cf9277433a5f66a3a1f5a53e6558e0ed2

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In Computer Networks and Communications

In Information Systems

In Management Science and Operations Research

Citations in the corpus

Web-Scale Data Integration: You can afford to Pay as You Go (2007, methodology): “The P AY G O architecture is inspired by the concept of dataspaces [15] that emphasizes pay-as-you-go data management.”
Executing SPARQL Queries over the Web of Linked Data (2009, background): “The Web of Linked Data that is emerging by connecting data from different sources via RDF links can be understood as a single, globally distributed dataspace [3].”
Management of probabilistic data: foundations and challenges (2007, background): “The system computes the answers, and for each answer computes an output probability score representing its con.dence in that answer.”
Goods: Organizing Google's Datasets (2016, background): “Goods also shares the goals and ideas of Dataspaces [16], and we can view it as a concrete implementation of that idea.”
Google fusion tables: web-centered data management and collaboration (2010, background): “Provide Seamless Integration with the Web In today’s computing environment, access to the Internet can increasingly be taken for granted.”
Big data integration (2013, background): “available data sources at the beginning, and gradually evolve schema mappings and improve search quality over time [16],”
Principles of dataspace systems (2006, methodology): “The original vision for DSSPs and a description of its proposed components appear elsewhere [24].”
Toward a System Building Agenda for Data Integration (and Data Science) (2018, background): “Over the past few decades, DI has received much attention (e.g., [37, 29, 31, 20, 34, 33, 6, 17, 39, 22, 23, 5, 8, 36, 15, 35, 4, 25, 38, 26, 32, 19, 2, 12, 11, 16, 2, 3]).”
MAD Skills: New Analysis Practices for Big Data (2009, background): “The idea of “dataspaces” is related to our MAD philosophy as well, with a focus on data integration [6].”
Influence apart from Adoption: How Interaction between Programming and Scientific Practices Shapes Modes of Inquiry in Four Oceanography Teams (2016, background): “Regarding databases, Franklin et al argue for co-existence over integration, where “semantic integration evolves over time and only where needed” because “the most scarce resource available for semantic integration is human attention” [20]; though the existence of integrated databases would present ”
Linked Data - The Story So Far (2009, neutral): “A recent concept within the databases community that is very similar to Linked Data is dataspaces (Franklin et al. 2005).”
Linked Data: Evolving the Web into a Global Data Space (2011, methodology): “Thus, the Web of Data relies on a distributed, pay-as-you-go approach to data integration, which enables the integration effort to be split over time and between different parties [51][74][34].”
The BigDAWG Polystore System (2015, background): “More recently, Dataspaces were proposed as a mechanism for integrating data sources [12], however this approach has not seen large-scale adoption.”
Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment (2009, background): “It is a “dataspace” into which we can add a growing variety of artifacts ( Franklin, Halevy, & Maier, 2005 ).”
Data integration: the teenage years (2006, background): “The management of dataspaces [44] emphasizes the idea of pay-as-you-go data”