9th International Conference on Knowledge Capture (K-CAP 2017)

The K-CAP conference attracting researchers from diverse areas of Artificial Intelligence, including knowledge representation, knowledge acquisition, intelligent user interfaces, problem-solving and reasoning, planning, agents, text extraction, and machine learning, information enrichment and visualisation, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data. Iacopo Vagliano (ZBW) presented the paper: “Content Recommendation through Semantic Annotation of User Reviews and Linked Data”, where he introduced a new recommendation approach which exploits the semantic annotation of user reviews to extract useful and non-trivial information about the items to recommend. Lukas Galke (ZBW) presented the paper: “Using Titles vs. Full-text as Source for Automated Semantic Document Annotation”, where he introduced the comparison between the classifications obtained from analyzing the documents’ titles, and the semantic annotations obtained from analyzing the full-text.