Kai Lenz

Learn More
Database integration of a wide variety of life-science data is an important issue for comprehensive data analysis. Since Semantic Web technologies, such as Resource Description Framework (RDF), are expected to provide efficient data integration technologies, many life-science databases are published in RDF with SPARQL Protocol and RDF Query Language(More)
Public global networks as for example the internet with the world wide web represent more and more a suitable platform for distributed information systems. Yet, the lack of methods for conceptual modelling (as known for the database design) often leads to quick and dirty implementations with uncontrollable data, data redundancies and data inconsistencies.(More)
To promote data dissemination and integration of life sciences datasets produced by RIKEN, we developed an infrastructure database called " RIKEN MetaDatabase " that enables data publication and integration using the Resource Description Framework. In addition, we implemented a simple workflow for data management and a graphical user interface representing(More)
Linked Open Data (LOD), a powerful mechanism for linking different datasets published on the World Wide Web, is expected to increase the value of data through mashups of various datasets on the Web. One of the important requirements for LOD is to be able to find a path of resources connecting two given classes. Because each class contains many instances,(More)
Linked Open Data (LOD) is a powerful mechanism for linking different datasets published on the Web, which is expected to create new value of data through mash-up over such various datasets. One of the important needs to extract data from LOD is to find a path of resources connecting given two classes, each of which has an end resource of the path. Based on(More)
Life sciences research produces numerous heterogeneous data-sets at a rapid rate, and researchers in this field face serious difficulties in handling and publishing such datasets. These problems occur not only in the life sciences but also within a research institute such as RIKEN, the largest Japanese comprehensive science institute. To address this issue,(More)
We developed RDF-based databases of the phenotypes and animal strains produced in Japan and a portal site termed as " J-Phenome ". By the application of common schema, these databases can be retrieved by the same SPARQL query across graphs. In the operation of these databases, RDF represented multiple advantages such as improvement of comprehensive search,(More)