This Festschrift volume, published in honour of Peter Buneman, contains contributions written by some of his colleagues, former students, and friends. In celebration of his distinguished career a colloquium was held in Edinburgh, Scotland, 27-29 October, 2013. The articles presented herein belong to some of the many areas of Peter's research interests.
Inhaltsverzeichnis
Models for Data-Centric Workflows. - Relational Databases and Bell s Theorem. - High-Level Rules for Integration and Analysis of Data: New Challenges. - A New Framework for Designing Schema Mappings. - User Trust and Judgments in a Curated Database with Explicit Provenance. - An Abstract, Reusable, and Extensible Programming Language Design Architecture. - A Discussion on Pricing Relational Data. - Tractable Reasoning in Description Logics with Functionality Constraints. - Toward a Theory of Self-explaining Computation. - To Show or Not to Show in Workflow Provenance. - Provenance-Directed Chase and Backchase. - Data Quality Problems beyond Consistency and Deduplication. - Hitting Buneman Circles. - Looking at the World Thru Colored Glasses. - Static Analysis and Query Answering for Incomplete Data Trees with Constraints. - Using SQL for Efficient Generation and Querying of Provenance Information. - Bounds and Algorithms for Joins via Fractional Edge Covers. - Incremental Data Fusion Based on Provenance Information. - Provenance for Linked Data. - First-Order Provenance Games. - Querying an Integrated Complex-Object Dataflow Database. - Types, Functional Programming and Atomic Transactions in Hardware Design. - Record Polymorphism: Its Development and Applications. - A Calculus of Chemical Systems. - Schemaless Semistructured Data Revisited - Reinventing Peter Buneman s Deterministic Semistructured Data Model. - Provenance Propagation in Complex Queries. - Well-Defined NRC Queries Can Be Typed. - Nine Years with Peter Buneman. - Modal Logic for Preference Based on Reasons. - The Dichotomous Intensional Expressive Power of the Nested Relational Calculus with Powerset. - Provenance in a Modifiable Data Set.