STANDARDIZING THE TECHNICAL AND STRUCTURAL SPECIFICATION OF DOORS IN TUNNELS

ABSTRACT In the past few years the technical and safety needs for railway tunnel systems designed for a cross travel speed of more than 160 km/h caused a steady increase of tunnel facilities. In addition to the structural engineering experience required, a more sophisticated approach of planning the highly complex tunnel equipment is needed. This also to comply with the permanent on-going change in the legal framework. Experience in the operation has shown that due to the high complexity the tunnel facilities not always work in the way expected (e.g. failure indication) and that facilities in tunnels are often not designed in consideration with other interacting facilities (e.g. tunnel doors and tunnel ventilation). It becomes apparent, that in the future an integrated design of the tunnel facilities is mandatory. This to take part already in the design phase of a tunnel. Various issues with doors in recently opened tunnel-systems forced an evaluation, that subsequently led to a review of the specifications of tunnel facilities, especially doors

Cross-lingual legal information retrieval using a WordNet architecture.

FDR Regulering van internationaal economisch verkeer - ou

Cross-lingual legal information retrieval using a WordNet architecture

FDR Regulering van internationaal economisch verkeer - ou

Hybrid Refining Approach of PrOnto Ontology

This paper presents a refinement of PrOnto ontology using a validation test based on legal experts’ annotation of privacy policies combined with an Open Knowledge Extraction (OKE) algorithm. To ensure robustness of the results while preserving an interdisciplinary approach, the integration of legal and technical knowledge has been carried out as follows. The set of privacy policies was first analysed by the legal experts to discover legal concepts and map the text into PrOnto. The mapping was then provided to computer scientists to perform the OKE analysis. Results were validated by the legal experts, who provided feedbacks and refinements (i.e. new classes and modules) of the ontology according to MeLOn methodology. Three iterations were performed on a set of (development) policies, and a final test using a new set of privacy policies. The results are 75,43% of detection of concepts in the policy texts and an increase of roughly 33% in the accuracy gain on the test set, using the new refined version of PrOnto enriched with SKOS-XL lexicon terms and definitions