par Nahshon, Yoav;Peterfreund, Liat;Vansummeren, Stijn 
Référence WebDB(2016: June 26, 2016: San Francisco, CA, USA), Proceedings of the 19th International Workshop on Web and Databases, ACM
Publication Publié, 2016-06
Référence WebDB(2016: June 26, 2016: San Francisco, CA, USA), Proceedings of the 19th International Workshop on Web and Databases, ACM
Publication Publié, 2016-06
Publication dans des actes
| Résumé : | Modern information extraction pipelines are typically constructed by (1) loading textual data from a database into a special-purpose application, (2) applying a myriad of textanalytics functions to the text, which produce a structured relational table, and (3) storing this table in a database.Obviously, this approach can lead to laborious development processes, complex and tangled programs, and inefficient control flows. Towards solving these deficiencies, we embark on an effort to lay the foundations of a new generation of text-centric database management systems. Concretely, we extend the relational model by incorporating into it thetheory of document spanners which provides the means andmethods for the model to engage the Information Extraction (IE) tasks. This extended model, called Spannerlog, provides a novel declarative method for defining and manipulating textual data, which makes possible the automationof the typical work method described above. In addition toformally defining Spannerlog and illustrating its usefulness for IE tasks, we also report on initial results concerning its expressive power |
