It is our pleasure to welcome you to the Seventh International Conference on Knowledge Capture (K-CAP2013). The K-CAP conference series provides a forum that brings together members of several research communities and practitioners who are interested in efficiently capturing knowledge from a variety of sources and in creating representations that can be useful for automated reasoning, analysis, and other forms of machine processing. Therefore, research in knowledge capture is at the intersection of areas such as knowledge engineering, machine learning, big data, natural-language processing, human-computer interaction, Artificial Intelligence, and the Semantic Web. K-CAP 2012 follows on the success of six previous conferences in 2011 (Banff, Alberta Canada), 2009 (Los Angeles, California, USA), 2007 (Whistler, British Columbia, Canada), in 2005 (Banff, Alberta, Canada), in 2003 (Sanibel Island, Florida, USA), and 2001 (Victoria, British Columbia, Canada), and of the series of Knowledge Acquisition Workshops (KAW), the first of which took place in the same location (Banff, Alberta, Canada) in 1986. The theme of this seventh edition of K-CAP is: Knowledge Capture in the Age of Massive Web Data, reflecting the times we are living in. The call for papers attracted 60 submissions from Europe, America, Asia, and Oceania. The program committee accepted 13 full papers, 4 short papers and 3 application papers, that cover a variety of topics, including ontology engineering, ontology learning, linked open data, information extraction for knowledge capture, and knowledge capture from web data including online textual and multimedia resources. In addition, this volume includes descriptions of 8 posters and demos presented at the conference. In this seventh edition of the conference we have tried to innovate in several ways Rather than only aiming at research papers, we introduced an applications track for practitioners to present application-oriented contributions. We issued a call for participation for the first K-CAP "Datathon", a "hackaton" based on Open Data. Acknowledging the worldwide economic down turn, and the pressure many research and company budgets are suffering, we set up a crowdfunding initiative to help K-CAP 2013 with extra funds (http://www.indiegogo.com/projects/k-cap- 2013). Through this initiative as well as through a standard sponsoring program, we have tried to keep the participation costs as low as possible.
de Vos, M., van Hage, W., Wielemaker, J., & Schreiber, A. T. (2013). Knowledge representation in scientific models and theirpublications: a case study. In Proceedings of the 7th International Conference on Knowledge Capture, K-CAP 2013, Banff, Canada, June 23-26, 2013 (pp. 135-136). ACM. https://doi.org/10.1145/2479832.2479850