Learn More
In this paper, we will introduce a new semantic desktop system called IRIS, and explain the context in which it was built, as part of the CALO Cognitive Assistant project. As we describe our quest to construct the kinds of tools that will significantly enhance the user's experience and augment the user's ability to perform knowledge work, we will explain(More)
The insufficiency of terminological standards in neuroscience is increasingly recognized as a serious obstacle to interoperability. Adoption of a controlled vocabulary is a successful solution for small numbers of groups that work closely together but is impractical for large numbers of groups who represent diverse areas of research, index information by(More)
Biological knowledge is increasingly represented as a collection of (entity-relationship-entity) triplets. These are queried, mined, appended to papers, and published. However, this representation ignores the argumentation contained within a paper and the relationships between hypotheses, claims and evidence put forth in the article. In this paper, we(More)
The development of the IRIS semantic desktop platform has provided illumination of some important issues associated with the collection and manipulation of knowledge assets that are organized by an ontology. We explore those issues related to the personalization of the workspace and of the knowledge assets manipulated by IRIS users. We show that a topic map(More)
The term knowledge gardening, a contraction of the longer dynamic knowledge gardening (DKG), is a direct descendant of Douglas Engelbart's Dynamic Knowledge Repository (DKR). A DKR exists as a combination of humans and tools, epistemic communities and the tools they use to aggregate information resources and work products, and to collaborate. We describe(More)
Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. Abstract. This paper reports progress in realizing human-agent argumentation, which we argue will be part of future(More)
An important area of KDD research involves development of techniques which transform raw data into forms more useful for prediction or explanation. We present an approach to automating the search for "indicator functions" which mediate such transformations. The fitness of a function is measured as its contribution to discerning different classes of data.(More)