Exploiting Deep Semantics and Compositionality of Natural Language for Human-Robot-Interaction

We develop a natural language interface for human robot interaction that implements reasoning about deep semantics in natural language. To realize the required deep analysis, we employ methods from cognitive linguistics, namely the modular and compositional framework of Embodied Construction Grammar (ECG) [Feldman, 2009]. Using ECG, robots are able to solve fine-grained reference resolution problems and other issues related to deep semantics and compositionality of natural language. This also includes verbal interaction with humans to clarify commands and queries that are too ambiguous to be executed safely. We implement our NLU framework as a ROS package and present proof-of-concept scenarios with different robots, as well as a survey on the state of the art

Cloud service localisation

The essence of cloud computing is the provision of software and hardware services to a range of users in dierent locations. The aim of cloud service localisation is to facilitate the internationalisation and localisation of cloud services by allowing their adaption to dierent locales. We address the lingual localisation by providing service-level language translation techniques to adopt services to dierent languages and regulatory localisation by providing standards-based mappings to achieve regulatory compliance with regionally varying laws, standards and regulations. The aim is to support and enforce the explicit modelling of aspects particularly relevant to localisation and runtime support consisting of tools and middleware services to automating the deployment based on models of locales, driven by the two localisation dimensions. We focus here on an ontology-based conceptual information model that integrates locale specication in a coherent way

Schema architecture and their relationships to transaction processing in distributed database systems

We discuss the different types of schema architectures which could be supported by distributed database systems, making a clear distinction between logical, physical, and federated distribution. We elaborate on the additional mapping information required in architecture based on logical distribution in order to support retrieval as well as update operations. We illustrate the problems in schema integration and data integration in multidatabase systems and discuss their impact on query processing. Finally, we discuss different issues relevant to the cooperation (or noncooperation) of local database systems in a heterogeneous multidatabase system and their relationship to the schema architecture and transaction processing

Spatial Data Harmonisation in Regional Context in Accordance with INSPIRE Implementing Rules

Spatial data seamless exchange and interoperable usage has become a necessity in efficient data management and competitive positioning in the European Union. Conceptual and technical framework for the spatial data and services interoperability is specified within the EU INSPIRE Directive. The Directive provides flexible and modular structure, giving the opportunity for customisation of the data specifications and usage. From the data publisher level to the European spatial data infrastructure, this opened the question of disharmony of the spatial data structure and sharing. Arisen challenges in data harmonisation process are thus subject of interest for different formalisation approaches. This study approaches the spatial data harmonisation process focusing on the area of Western Balkans, the region of Europe with countries that have similar interest for implementation of the INSPIRE Directive. With the main aim to propose the improvement to regional data harmonisation process, the study is focused on geology as the spatial theme. The study (1) analyses the INSPIRE data harmonisation process, (2) assesses critical factors of the process in the region and (3) tests the implementation of the INSPIRE data model harmonised in accordance with user needs. Results of the analysis present the structure and formalisation concepts of the INSPIRE data model, its extensibility, means for securing interoperability and standardised approach in defining data model elements. Critical factors of the harmonisation process are assessed through semi-structured questionnaire answered by competent representatives of the Western Balkans countries. The results show that, on a regional level, spatial data managers have made progress towards compliance and are familiar with the Directive. However, they lack a coordinated approach and implementation guidance. Aside from the low capacities, due to the current state of the data structures, harmonisation is a highly complex process and a goal that is difficult to reach. The outcomes of the INSPIRE defined harmonisation process and user needs are implemented on a practical example, a INSPIRE Theme Geology dataset from a Western Balkans region stakeholder. The user needs and data model structure characteristics of the regional geology dataset were integrated in the formal description of the source and transformed to target INSPIRE data model. The concept required structuring the source model to meet both INSPIRE and local requirements. The study general aim was reached by implementing the INSPIRE data harmonisation with fulfilling the main objectives – creating market-oriented, interoperable and accessible dataset, meeting national legal requirements towards the geological data management and increasing efficiency of data usage. Further application of the developed approach is seen as the implementation methodology for other INSPIRE themes and other geographical regions.Spatial data seamless usage and exchange has become a necessity in management of natural resources, environmental risk assessment, infrastructural planning and various other industrial domains. Framework for spatial data seamless usage is specified within the EU INSPIRE Directive on the continent-wide level. The Directive enables customisation of the data specifications and usage. However, high-level specification raised the issue of disharmony of the spatial data structure and sharing on regional level. Challenges in data harmonisation process therefore became subject of interest for different research approaches. This study approaches the spatial data harmonisation process focusing on the area of Western Balkans, the region of Europe with countries that have similar interest for implementation of the INSPIRE Directive. With the main aim to propose the improvement to regional data harmonisation process, the study is focused on geology as the spatial theme. The study assesses the regional needs and, in that light, develops the example of geological spatial data harmonisation. The needs and the critical factors of the harmonisation process are assessed through a questionnaire answered by competent representatives of the Western Balkans countries. It was found that spatial data managers in the region have made progress towards compliance and are familiar with the Directive. However, they lack a coordinated approach and implementation guidance. Moreover, the current state of the datasets structure makes harmonisation a complex process and a goal that is difficult to reach. Geology dataset from a Western Balkans region stakeholder was used as a practical example for testing the harmonisation process in accordance with user needs and INSPIRE requirements. The result was harmonised INSPIRE conformant spatial dataset, with validated seamless sharing and usage possibilities of the spatial dataset on both local and EU-wide level. The study showed the possibility of applying the INSPIRE data harmonisation, with fulfilling the main objectives of (1) creating market-oriented, interoperable and accessible dataset, (2) meeting national legal requirements towards the geological data management and (3) increasing efficiency of data usage. Further application of the presented approach is seen as the implementation methodology for other spatial themes and different geographical regions