The vision of openlaws.eu is to make access to justice easier for citizens, businesses and legal experts. For this purpose an innovative legal information platform has been designed by the openlaws.eu project, considering the needs of various stakeholder groups as well as the latest developments in technology and our information society. Legal tech is a new terms for new technology that can be appliedt to legal information in order to create better access and better understanding of the law. However, just because things can be done, does not mean that they are automatically done. Financial and organisational restricitions and the lack of compentency can be a deal-breaker for innovation. Open data, open innovation and open source software can be a potential solution to this problem, especially when combined to one coherent ecosystem. openlaws.eu has developed a prototype platform upon these new open concepts.

The goal of fast adaptations and modifications according to continuous change requests is common to all software engineering methodologies. In most cases, sooner or later this results in a mismatch between the software specification and the actual implementation with related disadvantages such as the impossibility of performing validations of related models. We present here an aspect of the digital business ecosystem concept that gives incentives for more responsible software engineering approaches in general by offering a platform for automatic composition of services and re-adaptation of the specifications based on actual changes. The main innovation is a natural language based modelling notation that enables ecosystems of companies to use software described in a high-level language that can also be understood by non-technical users.

Methodologies in software engineering have in common the goal of fast adaptations and modifications according to continuous change requests. In most cases, however, this sooner or later results in a gap between the software specification and the actual implementation with disadvantages such as the impossibility of performing model validations. In this paper we present an aspect of the digital business ecosystem concept that gives incentives for more responsible software engineering approaches by offering a platform for automatic composition of services and re-adaptation of the specification based on actual changes. The main innovation is natural-language based modeling notation that enables ecosystems of companies to use software described in a high level language understandable also for non-technical users.

Adaptation to changing requirements is one of the predominant challenges in distributed development. Software projects exceeding certain scales cannot be addressed by small-sized companies because of the incapability of meeting the financial guarantees and also because of staffing problems. In spite of their advantage of being more flexible, small companies when teaming up are usually overextended due to the overhead of communication and synchronization costs. A need emerges here for an infrastructure endorsing decomposability of software specifications and semi-automatic re-composition of the implemented components to satisfy the original requirements. This infrastructure facilitates a more efficient risk management due to the more finely grained specification. Such an infrastructure is presented here as a result of an ongoing research and implementation activity including real-world testing spanning several European countries and regions

We implement a solution for the automatic ordering of BAC clones from fingerprint data obtained through full digestion of the clones with four enzymes that leave different 3’ recessed ends and fluorescent labeling. The algorithm is inspired to a previous existing approach for building restriction maps.

We implement a solution for the automatic ordering of BAC clones from fingerprint data obtained through full digestion of the clones with four enzymes that leave dierent 3' recessed ends and fluorescent la- beling. The algorithm is inspired to a previous existing approach for building restriction maps.