3 2 1 · InOrder · 1 2 3

InOrder is a collaborative conceptual search interface. It is being developed by Garrett Camp at the EIS Lab at the University of Calgary. It's design premise is that search engines such as Google already find relevant results for well-formed queries, but do not efficiently elicit these search needs from users. InOrder solves this issue by creating an interactive environment for collective group search. InOrder acquires domain knowledge of semantic relevance within a given search context. Mediated sets of "topics" and "terms" guide search exploration by collective intuition, reusing search strategies utilized by ones peers. Incremental and explicit elicitation of these collective strategies enables participants to make better-informed search decisions. In terms of existing web media InOrder may be viewed as a structured weblog of the semantic interactions of those with similar search goals. InOrder's collaborative visual environment coordinates search activity using the exploration principles employed by eusocial insects. Visualization of past semantic trails facilitates swarm conceptual foraging and mediates the conceptual explorations of independent search agents. Using the process of stigmergy observed in ant foraging behavior, user participation constructs a collective cognitive map of search requirements. Terminological selection during query refinement activity creates these evolving ontologies of semantic priorities, and coordinates the collective discovery of useful search terminology. These knowledge repositories are explicitly constructed according to the interactive motivations of group participants and automatically aggregate useful navigational strategies. InOrder aims to investigate how factors such as team size, query length and search success rate inter-relate among various domains of understanding, and provide an intuitive environment for memetic modelling. For further information contact: inorder gmail·com

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