The VLDB Journal
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Ontological databases with faceted queries
The VLDB Journal - Tập 32 - Trang 103-121 - 2022
The success of the use of ontology-based systems depends on efficient and user-friendly methods of formulating queries against the ontology. We propose a method to query a class of ontologies, called facet ontologies (fac-ontologies), using a faceted human-oriented approach. A fac-ontology has two important features: (a) a hierarchical view of it can be defined as a nested facet over this ontology......
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systemsAbstract Modern machine learning (ML) systems commonly use stochastic gradient descent (SGD) to train ML models. However, SGD relies on random data order to converge, which usually requires a full data shuffle. For in-DB ML systems and deep learning systems with large datasets stored on block-addressable secondary storage such as HDD and S... ...
The VLDB Journal -
Space efficiency in group recommendation
The VLDB Journal - Tập 19 - Trang 877-900 - 2010
Imagine a system that gives you satisfying recommendations when you want to rent a movie with friends or find a restaurant to celebrate a colleague’s farewell: at the core of such a system is what we call group recommendation. While computing individual recommendations have received lots of attention (e.g., Netflix prize), group recommendation has been confined to studying users’ satisfaction with......
SW-Store: a vertically partitioned DBMS for Semantic Web data management
The VLDB Journal - Tập 18 - Trang 385-406 - 2009
Efficient management of RDF data is an important prerequisite for realizing the Semantic Web vision. Performance and scalability issues are becoming increasingly pressing as Semantic Web technology is applied to real-world applications. In this paper, we examine the reasons why current data management solutions for RDF data scale poorly, and explore the fundamental scalability limitations of these......
SQL extension for spatio-temporal data
The VLDB Journal - - 2006
An SQL extension is formalized for the management of spatio-temporal data, i.e. of spatial data that evolves with respect to time. The extension is dedicated to applications such as topography, cartography, and cadastral systems, hence it considers discrete changes both in space and in time. It is based on the rigid formalization of data types and of SQL constructs. Data types are defined in terms......
Optimization and evaluation of shortest path queries
The VLDB Journal - Tập 16 Số 3 - Trang 343-369 - 2007
PSoup: a system for streaming queries over streaming data
The VLDB Journal - Tập 12 - Trang 140-156 - 2003
Recent work on querying data streams has focused on systems where newly arriving data is processed and continuously streamed to the user in real time. In many emerging applications, however, ad hoc queries and/or intermittent connectivity also require the processing of data that arrives prior to query submission or during a period of disconnection. For such applications, we have developed PSoup, a......
A unified framework for string similarity search with edit-distance constraint
The VLDB Journal - Tập 26 - Trang 249-274 - 2016
String similarity search is a fundamental operation in data cleaning and integration. It has two variants: threshold-based string similarity search and top-
$$k$$
string similarity search. Existing algorithms are efficient for either the former or......
Tổng số: 788
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