Query Rewriting and Optimization for Ontological Databases

Autor: Gottlob, Georg, Orsi, Giorgio, Pieris, Andreas

Ontological queries are evaluated against a knowledge base consisting of an extensional database and an ontology (i.e., a set of logical assertions and constraints which derive new intensional knowledge from the extensional database), rather than dir

Externí odkaz: http://arxiv.org/abs/1405.2848

The Ontological Key: Automatically Understanding and Integrating Forms to Access the Deep Web

Autor: Furche, Tim, Gottlob, Georg, Grasso, Giovanni, Guo, Xiaonan, Orsi, Giorgio, Schallhart, Christian

Forms are our gates to the web. They enable us to access the deep content of web sites. Automatic form understanding provides applications, ranging from crawlers over meta-search engines to service integrators, with a key to this content. Yet, it has

Externí odkaz: http://arxiv.org/abs/1210.5980

Ontological Queries: Rewriting and Optimization (Extended Version)

Autor: Gottlob, Georg, Orsi, Giorgio, Pieris, Andreas

Ontological queries are evaluated against an ontology rather than directly on a database. The evaluation and optimization of such queries is an intriguing new problem for database research. In this paper we discuss two important aspects of this probl

Externí odkaz: http://arxiv.org/abs/1112.0343

Data Wrangling for Big Data: Challenges and Opportunities

Autor: Furche, Tim, Gottlob, George, Libkin, Leonid, Orsi, Giorgio, Paton, Norman

Publikováno v: Furche, T, Gottlob, G, Libkin, L, Orsi, G & Paton, N W 2016, Data Wrangling for Big Data: Challenges and Opportunities . in Advances in Database Technology — EDBT 2016 : Proceedings of the 19th International Conference on Extending Database Technology . Advances in Database Technology, pp. 473-478, 19th International Conference on Extending Database Technology, Bordeaux, France, 15/03/16 . https://doi.org/10.5441/002/edbt.2016.44
Furche, T, Gottlob, G, Libkin, L, Orsi, G & Paton, N 2016, Data Wrangling for Big Data: Challenges and Opportunities . in Advances in Database Technology — EDBT 2016 : Proceedings of the 19th International Conference on Extending Database Technology . pp. 473-478 . https://doi.org/10.5441/002/edbt.2016.44

Data wrangling is the process by which the data required by an applicationis identified, extracted, cleaned and integrated, to yield adata set that is suitable for exploration and analysis. Although thereare widely used Extract, Transform and Load (E

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3b91c59f60bd09b1ef0f6621e5245c30
https://hdl.handle.net/20.500.11820/c2ba42f4-4977-423b-9a37-ecd1687b81d4

Data Engineering (ICDE), 2012 IEEE 28th International Conference on

Autor: Roberto De Virgilio, Orsi, Giorgio, Tanca, Letizia, Riccardo Torlone

Publikováno v: NYAYA: A System Supporting the Uniform Management of Large Sets of Semantic Data.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=erc_________::6c52b36228fd3ce8a84c37b564b177a7