Managed Forgetting to Support Information Management and Knowledge Work

Trends like digital transformation even intensify the already overwhelming mass of information knowledge workers face in their daily life. To counter this, we have been investigating knowledge work and information management support measures inspired by human forgetting. In this paper, we give an overview of solutions we have found during the last five years as well as challenges that still need to be tackled. Additionally, we share experiences gained with the prototype of a first forgetful information system used 24/7 in our daily work for the last three years. We also address the untapped potential of more explicated user context as well as features inspired by Memory Inhibition, which is our current focus of research.Comment: 10 pages, 2 figures, preprint, final version to appear in KI - K\"unstliche Intelligenz, Special Issue: Intentional Forgettin

Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications

A growing number of applications users daily interact with have to operate in (near) real-time: chatbots, digital companions, knowledge work support systems - just to name a few. To perform the services desired by the user, these systems have to analyze user activity logs or explicit user input extremely fast. In particular, text content (e.g. in form of text snippets) needs to be processed in an information extraction task. Regarding the aforementioned temporal requirements, this has to be accomplished in just a few milliseconds, which limits the number of methods that can be applied. Practically, only very fast methods remain, which on the other hand deliver worse results than slower but more sophisticated Natural Language Processing (NLP) pipelines. In this paper, we investigate and propose methods for real-time capable Named Entity Recognition (NER). As a first improvement step, we address word variations induced by inflection, for example present in the German language. Our approach is ontology-based and makes use of several language information sources like Wiktionary. We evaluated it using the German Wikipedia (about 9.4B characters), for which the whole NER process took considerably less than an hour. Since precision and recall are higher than with comparably fast methods, we conclude that the quality gap between high speed methods and sophisticated NLP pipelines can be narrowed a bit more without losing real-time capable runtime performance

Architektur für ein System zur Dokumentanalyse im Unternehmenskontext - Integration von Datenbeständen, Aufbau- und Ablauforganisation

Workflowmanagementsysteme werden im Bürobereich verstärkt zur effizienten Geschäftsprozeßabwicklung eingesetzt. Das bereits Mitte der 70er Jahre propagierte papierlose Büro bleibt jedoch gegenwärtig immer noch Utopie. Dieser Widerspruch liegt darin begründet, daß die Handhabung von papierintensiven Vorgängen in hohem Maße abhängig ist von einer Identifkation und Aufbereitung der in den Dokumenten enthaltenen Informationen. Allerdings müssen solche Daten z.B. bei eingehender Post immer noch von Hand eingegeben werden. In diesem Dokument wird die Architektur eines System vorgestellt, das diesen Medienbruch überwinden soll. Techniken aus dem Gebiet der Dokumentanalyse und des Dokumentverstehens werden in den Workftowkontext integriert und nutzen das dort verfügbare Wissen zur Steigerung der Erkennungsqualität. Das Architekturdokument beruht auf einer ebenfalls dokumentierten Anforderungsanalyse (DFKI Dokument D-97-05). Es enthält eine statische und eine dynamische Beschreibung der benötigten Klassenkategorien und erklärt deren Funktionalität anhand eines umfassenden Beispiels

EPOS : evolving personal to organizational knowledge spaces

EPOS will leverage the user´s personal workspace with its manyfold native information structures to his personal knowledge space and in cooperation with other personal workspaces contribute to the organizational knowledge space which is represented in the organizational memory. This first milestone presents results from the project´s first year in the areas of the personal informational model, user observation for context elicitation, collaborative information retrieval and information visualization

EPOS : evolving personal to organizational knowledge spaces

EPOS will leverage the user´s personal workspace with its manyfold native information structures to his personal knowledge space and in cooperation with other personal workspaces contribute to the organizational knowledge space which is represented in the organizational memory. This first milestone presents results from the project´s first year in the areas of the personal informational model, user observation for context elicitation, collaborative information retrieval and information visualization

Towards a Functional Integration of Document Analysis and Understanding in Workflow Management Systems

. The integration of business applications into workflow management systems (WfMSs) is a recent topic in workflow management. Today, most efforts are concerned mainly with the integration itself. However, considering the information need of knowledge intensive applications, new possibilities arise when using information available in workflows. With the example of document analysis and understanding (DAU) as knowledge intensive business application, this paper introduces a concept for providing context information from workflows -- so-called workflow context - to DAU in order to enhance both, namely application and workflow. This concept can be seen as a first step towards a functional integration of these two systems which focuses on the satisfaction of DAU's information need. The paper defines the content of a workflow context, states how it can be arranged in workflows and represented to DAU. The representation uses the concept of expectations which have to be stated by ..