The BioImage Database Project collects and structures multidimensional data sets recorded by various microscopic techniques relevant to modern life sciences. It provides, as precisely as possible, the circumstances in which the sample was prepared and the data were recorded. It grants access to the actual data and maintains links between related data sets. In order to promote the interdisciplin...

Patterns and models are artifacts that are assets to their owners. Storing them in a repository and using common interfaces for their management simplifies their usage. This article proposes architecture of an extensible repository system that is called Pattern Management Software System (PMSS). It permits metamodel engineer to define abstract syntax of a new modeling or pattern writing languag...

The abundance of Linked Data being published, updated, and interlinked calls for strategies to preserve datasets in a scalable way. In this paper, we propose a system that iteratively crawls and captures the evolution of linked datasets based on flexible crawl definitions. The captured deltas of datasets are decomposed into two conceptual sets: evolution of (i)metadata and (ii)the actual data c...

This paper gives a short overview not only of the basic concepts of topic maps, but also of the advanced concepts. This document discusses a metadata structure, which allows making a topic map persistent within a relational database. To make integrity checks within topic maps possible, several constraint mechanisms are introduced. Additionally, for building world-wide internet directory service...

This paper proposes a new and efficient method to represent, store and retrieve structured documents from object-relational databases. Its main contribution consists of a codification scheme for document structures that assigns codes to documents as an additional attribute. Thus, retrieval conditions on the structure of documents can be evaluated by applying these codes, avoiding traversing obj...

BayesDB [1, 2] is a probabilistic programming platform that enables users to solve probabilistic data analysis problems using a simple, SQL-like language. Queries execute against generative population models (GPMs), a new abstraction that can be used to integrate data, metadata, qualitative domain knowledge, and quantitative models. Baseline quantitative models are typically built via an AI mod...

As a form of grey literature, scientific laboratory notebooks are intended to meet two broad functions: to record daily in-house activities as well as to manage research results. A major goal of this scientific electronic notebook project is to provide high quality resource discovery and retrieval capabilities for primary data objects produced in a multidisciplinary, biotechnology research labo...

Content management systems use various strategies to store and manage information. One of the most usual methods encountered in commercial products is to make use of the file system to store the raw content information, while the associated metadata is kept synchronized in a relational database management system. This strategy has its advantages but we believe it also has significant limitation...