International Workshop at Hypertext 2013,Paris,France. May 1 2013

IESD'13 aims to create a forum for academic and industrial researchers and practitioners to discuss methods and techniques for intelligent exploration of semantic data from three angles:

Computational models: methods and techniques for analysing semantic data to discover connections (e.g. relatedness, similarity, complementarity, contradictions, and causality), entity and ontology summarisation methods, graph exploration, visualisation and navigation, user/context modelling, adaptation and personalisation, feedback and prompts.

Human factors: key human factors that impact the exploration of large interconnected complex data; effective interaction environments to help users in discovering connections and making sense of large volumes of structured and unstructured heterogeneous data (including large ontologies, Linked Data, semantically augmented corpus, semantic-enriched social data); comparison of different approaches to help users in a manner that does not overwhelm or confuse, intuitive ways to empower lay users of knowledge enriched technologies to explore semantic data.

Domains and applications: information needs which require exploration of semantic data; domains where semantic data is available and required for the practice (e.g. medical, media, social web, public administration, education, environmental/sustainability science); requirements gathering and evaluation studies; lessons learnt.