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Translating Web Data
STBenchmark: towards a benchmark for mapping systems
STBenchmark, a solution towards a much needed benchmark for mapping systems, is presented and a basic suite of mapping scenarios that should be readily supported by any mapping system is described.
Keyword search over relational databases: a metadata approach
- S. Bergamaschi, Elton Domnori, F. Guerra, Raquel Trillo Lado, Yannis Velegrakis
- Computer ScienceSIGMOD '11
- 12 June 2011
This work describes a novel technique for translating keyword queries into SQL based on the Munkres (a.k.a. Hungarian) algorithm and offers significant improvements in the identification of the semantically meaningful SQL queries that describe the intended keyword query semantics.
Clio: Schema Mapping Creation and Data Exchange
- Ronald Fagin, L. Haas, Mauricio A. Hernández, Renée J. Miller, Lucian Popa, Yannis Velegrakis
- Computer ScienceConceptual Modeling: Foundations and Applications
- 4 July 2009
This chapter presents algorithms for both schema mapping creation via query discovery, and for query generation for data exchange that can be used in pure relational, pure XML, nested relational, or mixed relational and nested contexts.
Preserving mapping consistency under schema changes
This work presents a novel framework and a tool for automatically adapting (rewriting) mappings as schemas evolve and explicitly models mapping choices made by a user and maintains these choices, whenever possible, as the schemas and mappings evolve.
Intensional associations between data and metadata
It is argued that the relational model augmented with queries as data values is a natural way to uniformly model data, arbitrary metadata and their associations, and relational queries with a join mechanism augmented to permit matching of query result relations, instead of only atomic values, is an elegant way of uniformly query across data and metadata.
Mapping Adaptation under Evolving Schemas
On-the-fly entity-aware query processing in the presence of linkage
- Ekaterini Ioannou, W. Nejdl, C. Niederée, Yannis Velegrakis
- Computer ScienceProc. VLDB Endow.
- 1 September 2010
A novel framework for entity linkage with uncertainty is described, instead of using the linkage information to merge structures a-priori, possible linkages are stored alongside the data with their belief value.
Exemplar queries: a new way of searching
- D. Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas
- Computer ScienceThe VLDB Journal
- 1 December 2016
This work introduces a novel query paradigm that considers a user query as an example of the data in which the user is interested and provides a formal specification of their semantics, which are fundamentally different from notions like queries by example, approximate queries and related queries.
On Evaluating Schema Matching and Mapping
- Zohra Bellahsene, A. Bonifati, F. Duchateau, Yannis Velegrakis
- Computer ScienceSchema Matching and Mapping
- 30 March 2011
This work provides a generic overview of the existing efforts on benchmarking schema matching and mapping tasks, offers a comprehensive description of the problem, lists the basic comparison criteria and techniques, and provides a description ofThe main functionalities and characteristics of existing systems.