Annotating Accommodation Advertisements Using CERNO

There has been great interest in applying Semantic Web technologies to the tourism sector ever since Tim Berners-Lee introduced his vision. Unfortunately, there is a major obstacle in realizing such applications: tourist (or other) information on the Web has to be semantically annotated, and this happens to be a very time- and resource-consuming process. In this work we present the application of a lightweight automated approach for the annotation of accommodation advertisements. The annotation tool, called Cerno, allows for annotation of text according to a predefined conceptual schema. Resulting annotations are stored in a database, allowing users to quickly find the best match to personal requirements. To evaluate our framework, we have conducted a series of experiments that support the efficacy of our proposal with respect to annotation quality and fulfilment of user information needs.

• Type: Conference
• Year: 2007
• Where: ENTER
• Authors: Nadzeya Kiyavitskaya, Nicola Zeni, Luisa Mich, James R. Cordy, John Mylopoulos
• Keywords: Annotation, ENTER 2007, Information Retrieval, Lightweight Automated Approach, Semantic Web Technologies