Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Stijn Vansummeren"'
Publikováno v:
Proceedings of the VLDB Endowment. 15:1951-1964
Complex Event Recognition (CER) systems are a prominent technology for finding user-defined query patterns over large data streams in real time. CER query evaluation is known to be computationally challenging, since it requires maintaining a set of p
Modern graph database query languages such as GQL, SQL/PGQ, and their academic predecessor G-Core promote paths to first-class citizens in the sense that their pattern matching facility can return paths, as opposed to only nodes and edges. This is ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f44bded9ae02183be7f8ac0e9a4371ab
http://hdl.handle.net/1942/40357
http://hdl.handle.net/1942/40357
Publikováno v:
ACM Transactions on Database Systems. 46:1-49
Complex event recognition (CER) has emerged as the unifying field for technologies that require processing and correlating distributed data sources in real time. CER finds applications in diverse domains, which has resulted in a large number of propo
Publikováno v:
ACM SIGMOD Record. 49:24-27
Composite event recognition (CER) is concerned with continuously matching patterns in streams of 'event' data over (geographically) distributed sources. This paper reports the results of the Dagstuhl Seminar "Foundations of Composite Event Recognitio
Publikováno v:
ACM transactions on database systems, 45 (1
Regular expressions and automata models with capture variables are core tools in rule-based information extraction. These formalisms, also called regular document spanners, use regular languages to locate the data that a user wants to extract from a
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Modern data analysis applications, require the ability to provide on-demand integration of data sources while offering a flexible and user-friendly query interface. Traditional techniques for answering queries using views, focused on a rather static
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eb24cc460277c8d85c4ec0848cb5181
http://hdl.handle.net/1942/34260
http://hdl.handle.net/1942/34260
Autor:
Marc Gyssens, Dirk Van Gucht, George H. L. Fletcher, Jelle Hellings, Jan Van den Bussche, Stijn Vansummeren, Yuqing Wu
Publikováno v:
Information systems, 89
Information Systems, 89:101467. Elsevier
Information Systems, 89:101467. Elsevier
Motivated by the continuing interest in the tree data model, we study the expressive power of downward navigational query languages on trees and chains. Basic navigational queries are built from the identity relation and edge relations using composit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdcc6266b6d23a831c51403005c92bb8
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/296840
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/296840
Publikováno v:
The VLDB journal
The ability to efficiently analyze changing data is a key requirement of many real-time analytics applications. In prior work, we have proposed general dynamic Yannakakis (GDyn), a general framework for dynamically processing acyclic conjunctive quer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6d396c2effa0e657f4a580a995064b
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/296649
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/296649
Publikováno v:
SIGMOD record, 48 (1
The ability to effciently analyze changing data is a key requirement of many real-time analytics applications. Traditional approaches to this problem were developed around the notion of Incremental View Maintenance (IVM), and are based either on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9da303c814babaa66368d6e1afa9b559
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/295520
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/295520
Publikováno v:
ACM SIGMOD Record. 44:5-16
Information Extraction commonly refers to the task of populating a relational schema, having predefined underlying semantics, from textual content. This task is pervasive in contemporary computational challenges associated with Big Data. In this arti