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Peter Lyngbæk

dblp:39/1385 · DBLP profile ↗
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9ranked-venue papers
5as first author
0since 2021 · last 1992
—ORCID · none

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

Databases, data management, data science and information retrieval · 9 · 5 first-author

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
6 papers
Data models and query languages · 80% Database system architecture and tuning · 11% Distributed and cloud data management · 6%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 100%

Topics — the 11 heaviest of 14, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages
object-oriented database
0.031990
The Iris Architecture and Implementation · IEEE Trans. Knowl. Data Eng. 1990
The Iris Database System · SIGMOD Conference 1990
Iris: An Object-Oriented Database Management System · ACM Trans. Inf. Syst. 1987
Data models and query languages
relational model
0.011987
Mapping a Semantic Database Model to the Relational Model · SIGMOD Conference 1987
Data models and query languages › conceptual modeling
semantic data model
0.011987
Mapping a Semantic Database Model to the Relational Model · SIGMOD Conference 1987
Database system architecture and tuning
personal data management
0.011984
A Personal Data Manager · VLDB 1984
Distributed systems › distributed object systems
distributed object management
0.011984
Object Management in Distributed Information Systems · ACM Trans. Inf. Syst. 1984
Distributed systems › middleware
location-transparent naming
0.011984
Object Management in Distributed Information Systems · ACM Trans. Inf. Syst. 1984
Distributed systems
object sharing
0.011984
Object Management in Distributed Information Systems · ACM Trans. Inf. Syst. 1984
Data models and query languages
object-oriented data model
0.011990
The Iris Database System · SIGMOD Conference 1990
Data integration and cleaning
schema translation
0.011987
Mapping a Semantic Database Model to the Relational Model · SIGMOD Conference 1987
Distributed systems
distributed information systems
0.011984
Object Management in Distributed Information Systems · ACM Trans. Inf. Syst. 1984
Distributed systems
distributed coordination
0.011983
An Approach to Object Sharing in Distributed Datbase Systems · VLDB 1983

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

implementation experience · 0.0architecture design · 0.0constraint characterization · 0.0prototype implementation · 0.0
YearPublicationVenuePosition
1992 Supporting Access Control in an Object-Oriented Database Language
Rafiul Ahad, James Davis 0003, Stefan Gower, Peter Lyngbæk, Andra Marynowski, Emmanuel O. Onuegbe
EDBT4
1990 The Iris Kernel Architecture
Peter Lyngbæk, Kevin Wilkinson, Waqar Hasan
EDBT1
1990 The Iris Database System
abstract
Iris is an object-oriented database management system being developed at Hewlett-Packard Laboratories [1], [3]. This videotape provides an overview of the Iris data model and a summary of our experiences in converting a computer-integrated manufacturing application to Iris. An abstract of the videotape follows.
William Kent, Peter Lyngbæk, Samir Mathur, Kevin Wilkinson
SIGMOD Conference2
1990 The Iris Architecture and Implementation
abstract
The goals of the Iris database management system are to enhance database programmer productivity and to provide generalized database support for the integration of future applications. Iris is based on an object and function model. Iris objects are typed but unlike other object systems, they contain no state. Attribute values, relationships and behavior of objects are modeled by functions. The Iris architecture efficiently supports the evaluation of functional expressions. The goal of the architecture is to provide a database system that is powerful enough to support the definition of functions and procedures that implement the semantics of the data model. An overview of the data model is provided, the architecture is described in detail, and implementation experience and usage of the system are discussed.>
Kevin Wilkinson, Peter Lyngbæk, Waqar Hasan
IEEE Trans. Knowl. Data Eng.2
1987 Mapping a Semantic Database Model to the Relational Model
abstract
The connection between semantic database models and the relational model is formally investigated using the Iris Data Model, which has been implemented using relational database techniques. The results focus on properties of relational schemas that are translations of Iris schemas. Two new types of constraints, cross-product constraints and multiplicity constraints are introduced to characterize the relational translations of Iris schemas. The connection established between Iris and relational schemas also yields new, unexpected information about Iris schemas. In particular, a notion of equivalence of Iris schemas is defined using their relational translations, and a result is obtained on simplifying the type structure of Iris schemas.
Peter Lyngbæk, Victor Vianu
SIGMOD Conference1
1987 Iris: An Object-Oriented Database Management System
Daniel H. Fishman, David Beech, H. P. Cate, E. C. Chow, Tim Connors, J. W. Davis, Nigel Derrett, C. G. Hoch, William Kent, Peter Lyngbæk, Brom Mahbod, Marie-Anne Neimat, Thomas A. Ryan Jr., Ming-Chien Shan
ACM Trans. Inf. Syst.10
1984 A Personal Data Manager
Peter Lyngbæk, Dennis McLeod
VLDB1
1984 Object Management in Distributed Information Systems
abstract
A simple model for object sharing in distributed office information systems is described.The model provides a small set of operators for object definition, manipulation, and retrieval in a distributed environment, modeled as a logical network of workstations.Relationships among objects can be established across work station boundaries, objects are relocatable within the distributed environment, and mechanisms are provided for access control and the dynamic sharing of objects among individual work stations.An object naming convention supports location-transparent object references; that is, objects can be referenced by user-defined names rather than by addresses.The primitive operations introduced can be used as the basis for the specification and stepwise development of office information models and systems of increasing complexity.An experimental prototype implementation of the distributed object sharing model is described.
Peter Lyngbæk, Dennis McLeod
ACM Trans. Inf. Syst.1
1983 An Approach to Object Sharing in Distributed Datbase Systems
Peter Lyngbæk, Dennis McLeod
VLDB1