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Jurgen Annevelink

dblp:70/3332 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Data models and query languages · 70% Information retrieval · 30%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages
object-oriented database
0.011994
Integrating a Structured-Text Retrieval System with an Object-Oriented Database System · VLDB 1994
Information retrieval › document retrieval
structured document retrieval
0.011994
Integrating a Structured-Text Retrieval System with an Object-Oriented Database System · VLDB 1994
Data models and query languages
database programming language
0.011991
Database Programming Languages: A Functional Approach · SIGMOD Conference 1991
Data models and query languages › query language
object-oriented query language
0.011991
Database Programming Languages: A Functional Approach · SIGMOD Conference 1991
Programming languages and type systems
functional programming
0.011991
Database Programming Languages: A Functional Approach · SIGMOD Conference 1991
Programming languages and type systems
lambda calculus
0.011991
Database Programming Languages: A Functional Approach · SIGMOD Conference 1991

Methods — techniques the papers use, named apart from their topics

functional embedding · 0.0embedded interpreter · 0.0
YearPublicationVenuePosition
1994 Integrating a Structured-Text Retrieval System with an Object-Oriented Database System
Tak W. Yan, Jurgen Annevelink
VLDB2
1991 Database Programming Languages: A Functional Approach
abstract
This paper introduces the Iris Programming Language (IPL), a functional embedding of OSQL, the query language of Iris, an object-oriented database system prototype developed by Hewlett-Packard Laboratories.The main contribution of this paper is to show how a declarative query language can be extended into a general purpose database programming language by embedding it into a functional programming language.The key to the approach is the capability of invoking an embedded interpreter from within the context of a query evaluation.The paper discusses the mechanism by which the Iris query interpreter was extended to provide this capability and discusses how such extensions can be added to relational database systems.IPL is a full-fledged programming language, that includes control abstractions and is compiled mto an intermediate, lambda calculus based language.IPL provides direct access to the operators of the underlying intermediate language, thus allowing it to be extended and specialized for a particular application domain.IPL is successfully implemented and is in active use.
Jurgen Annevelink
SIGMOD Conference1
1987 Object-oriented Data Management Based on Abstract Data Types
abstract
Abstract The computer‐aided design of dedicated pipelined processors for numerical applications and signal processing requires design tools that support system refinement, partitioning strategies and the transformation of behavioural descriptions into structure. This in turn poses problems of design data management which are considered here. We show that an object‐oriented data management system is a step towards solving the problems. The method proposed here is based on a systematic specification of data structures and data access methods, using abstract data type specifications. As a result, the data management is completely transparent to the application programs. The data‐management system is written in Enhanced C (EC), a set‐orientated extension of the language C.
Jurgen Annevelink, Patrick M. Dewilde
Softw. Pract. Exp.1
1985 Hierarchical flowgraph integration for VLSI array processors
abstract
The structural properties of parallel recursive algorithms point to the feasibility of a Hierarchical Flow-graph integration (HIFI) design method for VLSI array processor design. The Hierarchical approach allows the designer to focus attention at the appropriate level of detail. Flow-graphs are used because they offer a powerful and convenient tool for describing many signal processing algorithms. Integration is used here to mean top-down integration - from algorithm analysis to VLSI array - as opposed to merely an integration of electronic components. The HIFI method is proposed as a design and description tool aiming specially at VLSI arrays for signal processing algorithms. The major issues involved are: the recursive algorithm decomposition, abstract notations, flow-graph (structural) and functional (behavior) description, temporal and structural decomposition, bi-directional mapping between graphic and textual codes, simulation and verification tools, and mapping from virtual array to actual architecture.
Sun-Yuan Kung, Jurgen Annevelink, Patrick M. Dewilde, S. C. Lo
ICASSP2