Organographs: Multi-faceted Hierarchical Categorization Of Web Documents

The data deluge of information in the Web challenges internauts to organize their references to interesting content in the Web as well as in their private storage space off-line. Having an automatically managed personal index to content acquired from the Web is useful for everybody, but critical to researchers and scholars. In this paper, we discuss concepts and problems related to organizing information through multi-faceted hierarchical categorization. We introduce the organograph as a mechanism to specify multiple views of how content is organized. Organographs can help scientists to automatically organize their documents along multiple axes, improving sharing and navigation through themes and concepts according to a particular research objective.583588Inst. Syst. Technol. Inf., Control Commun. (INSTICC)Bloehdorn, S., Cimiano, P., Hotho, A., Learning ontologies to improve text clustering and classification (2005) From Data and Information Analysis to Knowledge Engineering: Proceedings of the 29th Annual Conference of the German Classification SocietyBonifacio, M., Bouquet, P., Manzardo, A., A distributed intelligence paradigm for knowledge management (2000) AAAI Spring Symposium Series 2000 on Bringing Knowledge to Business ProcessesChen, L., Roberts, C., Semantic tagging for large-scale content management (2007) WI'07: Proceedings of the IEEE/WIC/ACM International Conference on Web IntelligenceDakka, W., Ipeirotis, P.G., Automatic extraction of useful facet hierarchies from text databases (2008) ICDE, pp. 466-475Dakka, W., Ipeirotis, P.G., Wood, K.R., Faceted browsing over large databases of text-annotated objects (2007) Proceedings - International Conference on Data Engineering, pp. 1489-1490. , DOI 10.1109/ICDE.2007.369047, 4221837, 23rd International Conference on Data Engineering, ICDE 2007Du, Y., Chen, L., Using personalized knowledge portal for information and knowledge integration and sharing (2007) SKG '07: Proceedings of the Third International Conference on Semantics, Knowledge and GridGiannakidou, E., Kompatsiaris, I., Vakali, A., Semsoc: Semantic, social and content-based clustering in multimedia collaborative tagging systems (2008) ICSC '08: Proceedings of the 2008 IEEE International Conference on Semantic ComputingGordon, A., (1996) Hierarchical Classification. Clustering and ClassificationJackson, P., Moulinier, I., (2002) Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization, , John Benjamins Publishing CompanyLacher, M., Groh, G., Facilitating the exchange of explicit knowledge through ontology mappings (2001) Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society ConferenceSenra, R.D.A., Medeiros, C.B., SciFrame: A conceptual framework to describe data sharing in e-science (2009) SBBD. III E-science WorkshopUschold, M., Gruninger, M., Ontologies: Principles, methods and applications (1996) The Knowledge Engineering Review, 11 (2)Weigend, A.S., Wiener, E.D., Pedersen, J.O., Exploiting hierarchy in text categorization (1999) Inf. Retr., 1 (3