The paper introduces a web-based eHealth platform currently being developed that will assist patients with certain chronic diseases. The ultimate aim is behavioral change. This is supported by online assessment and feedback which visualizes actual behavior in relation to target behavior. Disease-specific information is provided through an information portal that utilizes lightweight ontologies (associative networks) in combination with text mining. The paper argues that classical word-based information retrieval is often not sufficient for providing patients with relevant information, but that their information needs are better addressed by concept-based retrieval. The focus of the paper is on the semantic retrieval component and the learning of a lightweight ontology from text documents, which is achieved by using a biologically inspired neural network. The paper concludes with preliminary results of the evaluation of the proposed approach in comparison with traditional approaches.

Office tasks related to processing of contracts in the insurance business are complex and highly dependent on legal and company-specific formal regulations. On the other hand, the increasing competition strongly influences efficiency as well as quality requirements and makes such activities very dealing with critical for the company success. This paper describes the main ideas behind the EULE system implemented at Swiss Life to provide computer based guidance and interactive support for typical office tasks dealing with private life insurance. The system relies on a knowledge representation language which covers data and process aspects including encoding of the relevant regulation contexts. Based on specifications in this language a compiler enables the automatic generation of executable systems. Furthermore, we sketch the embedding of EULE into a general advanced software architecture, in particular w.r.t. organizational memory, functionality workflow management and business process modeling.

Article Free Access Share on A hybrid knowledge representation approach to reusability of legal knowledge bases Authors: Ulrich Reimer Swiss Life, Information Systems Research Group, Postfach, CH-8022 Zürich, Switzerland Swiss Life, Information Systems Research Group, Postfach, CH-8022 Zürich, SwitzerlandView Profile , Andreas Margelisch Swiss Life, Information Systems Research Group, Postfach, CH-8022 Zürich, Switzerland Swiss Life, Information Systems Research Group, Postfach, CH-8022 Zürich, SwitzerlandView Profile Authors Info & Claims ICAIL '95: Proceedings of the 5th international conference on Artificial intelligence and lawMay 1995 Pages 246–255https://doi.org/10.1145/222092.222249Published:24 May 1995Publication History 1citation355DownloadsMetricsTotal Citations1Total Downloads355Last 12 Months6Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF