Olga Streibel

Towards Semantic Event-Driven Systems

One of the critical success factors of event-driven systems is the capability of detecting complex events from simple and ordinary event notifications. Complex events which trigger or terminate actionable situations can be inferred from large event clouds or event streams based on their event instance sequence, their syntax and semantics. Using semantics of event algebra patterns defined on top of event instance sequences for event detection is one of the promising approaches for detection of complex events. The developments and successes in building standards and tools for semantic technologies such as declarative rules and ontologies are opening novel research and application areas in event processing. One of these promising application areas is semantic event processing. In this paper we contribute with a conceptual approach which supports the implementation of the vision of semantic event-driven systems; using Semantic Web technologies, benefiting from complex event processing, and ensuring quality through trust and reputation management. All of these novel technologies leads to more intelligent decision supporting systems.

Trend-based and reputation-versed personalized news network

Web users while collaborating over social networks and micro-blogging services also contribute to news coverage worldwide. News feeds come from mainstream media as well as from social networks. Often feeds from social networks are more up-to-date and, for users view, more credible than those that come from mainstream media. But the overwhelming amount of information requires to personally filter through it until one gets what is really needed. In this paper, we describe our idea of a personalized news network built on current Web technologies and our research projects by filtering Twitter and Facebook messages using both trend mining and reputation approaches. Based on the example of Egyptian revolution, we explain the main idea of personalized news.

Corporate Semantic Web: Towards the Deployment of Semantic Technologies in Enterprises

The amount of information that companies have to produce, acquire, maintain, propagate, and use has increased dramatically over the last decades. Nowadays, companies seek more capable approaches for gaining, managing, and utilizing knowledge, and the Semantic Web offers promising solutions. While the global Semantic Web still remains an unfulfilled vision for the present, the Corporate Semantic Web idea aims at bringing semantic technologies to enterprises. The expected results are a competitive advantage for enterprises using semantic technologies and a boost for the evolution of the global Semantic Web.

Trend Ontology for Knowledge-Based Trend Mining in Textual Information

Providing ontologies for the automatic trend detection enhance the quality of trend predictions. However, in the case of dynamic and fuzzy expert knowledge like the knowledge used in trend detection, it is difficult to formalize knowledge unambiguously and in a static way. In this paper we report on our experiences in modeling and formalizing trend ontology for automatic knowledge-based trend detection by the example of market research, i.e. we describe the knowledge-based trend mining approach and requirements for trend ontology, discuss obstacles in modeling trend knowledge and outline three lightweight trend ontologies modeled.

Corporate Semantic Web – Semantische Technologien in Unternehmen

ZusammenfassungDas Verwalten, Aggregieren und Anbieten von Informationen rückt für Unternehmen immer mehr in den Mittelpunkt, wobei die Menge, Hetereogenität und Vielfältigkeit von Information ein problematischer Aspekt bei deren Integration bleibt. Semantische Technologien eröffnen Unternehmen neue Möglichkeiten für das Verarbeiten: Eine Repräsentation mit Hilfe von Ontologien erlaubt wegen des dadurch implizierten gemeinsamen Verständnisses der Anwendungsdomäne ein Nutzen der Informationen über Anwendungs- und Unternehmensgrenzen hinweg und ein Ableiten von darin implizit enthaltenen Informationen. Semantische Technologien werden bislang jedoch recht selten in produktiven System angewendet. Angesichts der in diesem Artikel vorgestellten Hürden für den erfolgreichen Einsatz von semantischen Technologien in Unternehmen beschäftigt sich der Forschungsbereich Corporate Semantic Web mit Konzepten und Lösungen für die Akquise, Verwaltung und Nutzung von Wissen bei informationsintensiven Anwendungen im Unternehmenskontext. In diesem Artikel wird insbesondere auf die Bereiche Ontologie-Entwicklung, Kollaboration und semantische Suche eingegangen: Zunächst werden Herausforderungen auf den Gebieten Ontologie-Entwicklung und der kollaborativen Arbeit an Ontologien beschrieben und Lösungsansätze vorgestellt, anschließend illustrieren zwei Beispielanwendungen die Verwendung von semantischen Technologien im Unternehmenskontext.