The complexity of ontology authoring and the difficulty to master the use of existing ontology authoring tools, put significant constraints on the involvement of both domain experts and knowledge engineers in ontology authoring. This often requires substantial effort for fixing ontologies defects (e.g. inconsistency, unsatisfiability, missing or unintended implications, redundancy, isolated ent...

Copyright is held by the author/owner(s). IUI’13, March 19–22, 2012, Santa Monica, California, USA. This work was performed while interning at Adobe Research. Abstract Machine learning techniques used for single-channel sound source separation currently offer no mechanism for user-feedback to improve upon poor results and typically require isolated training data to perform separation. To overco...

My research addresses the need for an efficient, effective and interactive access into large-scale image collections. In many cases the data of different modalities are interrelated , as for example photos and annotations in photo-sharing repositories , pictures and captions in news web-sites or x-ray scans and reports in medical databases, and I am investigating retrieval approaches that are c...

A semi-automatic process, which support users in the task of annotating large image data sets, has been proposed recently. Images are clustered automatically according to similarity and are presented to the user as a sorted set. During the annotation process, partial annotations are used for further improvement of the clustering. This interactive annotation process has three important propertie...

We present a new interactive paradigm for iterative information retrieval based on the automatic construction of a faceted representation for a document subset. Facets are chosen heuristically based on lexical dispersion, a measure of the number of different terms with which a word co-occurs within noun phrases appearing in the document set. The phrases in which these terms occur serve to provi...

For agents and robots to become more useful, they must be able to quickly learn from non-technical users. This paper investigates the problem of interactively learning behaviors communicated by a human teacher using positive and negative feedback. Much previous work on this problem has made the assumption that people provide feedback for decisions that is dependent on the behavior they are teac...

Image collections are searched in common retrieval systems in many different ways, but the typical presentation is by means of a grid styled view. In this paper we try to suggest a novel use of relevance feedback as a tool to warp the view and allow the user to spatially navigate the image collection, and at the same time focus on his retrieval aim. This is obtained by the use of a distance bas...

In this paper we present an interactive, object-based video retrieval system which features a novel query formulation method that is used to iteratively refine an underlying model of the search object. As the user continues query composition and browsing of retrieval results, the system’s object modeling process, based on Gaussian probability distributions, becomes incrementally more accurate, ...