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Abstract. We report on an ongoing project which aims at improving the eectiveness of retrieval and accessibility of learning object within learning management systems and learning object repositories. The project Language Technology for eLearning approaches this task by providing Language Technology based functionalities and by integrating semantic knowledge through domain-specic ontologies. We will report about the development of a keyword extractor and a domain-specic ontology, the integration of these modules into the learning management system ILIAS and the validation of these tools which assesses their added value in the scenario of searching learning objects across dierent languages.

Abstract. This paper presents a new model for passing messages in communicating stream X-machine systems (CSXMS). The components are stream X-machines with ε-transitions, acting simultaneously. The states are partitioned into processing and communicating states. Passing messages between the X-machines involves only communicating states. A communication matrix is used as a common memory. It is shown that a structured way of using channels, namely via select constructs with guarded alternatives and terminate clause, may be implemented. An automatic scheme for writing concurrent programs in an Ada-like style, starting from a CSXMS, is proposed.

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Many applications in Digital Humanities (DH) rely on annotations of the raw material. These annotations (inferred automatically or done manually) assume that labelled facts are either true or false, thus all inferences started on such annotations us boolean logic. This contradicts hermeneutic principles used by humanites in which most part of the knowledge has a degree of truth which varies depending on the experience and the world knowledge of the interpreter. In this paper we will show how uncertainty and vagueness, two main features of any historical text can be encoded in annotations and thus be considered by DH applications.