Mutual knowledge and communicative effectiveness
Intellectual teamwork
The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploration system
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
CHI '94 Conference Companion on Human Factors in Computing Systems
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
Constructive Knowledge Acquisition: A Computational Model and Experimental Evaluation
Constructive Knowledge Acquisition: A Computational Model and Experimental Evaluation
Agents for Information Gathering
IEEE Expert: Intelligent Systems and Their Applications
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
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A cooperative comprehension-assistant is described which represents text documents at three different levels of abstraction (surface, propositional and situational levels of representation). At the surface level texts are represented as bags of words without any linguistic structure. For the propositional level a definite but evolutionary growing set of predicates and concepts is used for selectively representing the most interesting parts of each text. By a latent semantic analysis the situational level is calculated as the third level, which is a parsimonious representation of the complete contents of a document with respect to some previously established frame of reference (metric vector space). Together the three levels provide more flexibility as well as precision for assisting human comprehension, document storage, retrieval and distribution. Furthermore, it is shown how this comprehension assistant is applied for knowledge dissemination in a particular kind of intranet-based information environment (oligo-agent system). The individual and social components of knowledge sharing within such an environment are described by knowledge construction and knowledge integration processes. To take the problem of long-term maintenance into account, the comprehension assistant and the oligo-agent system is embedded in a life-cycle model of cooperative knowledge evolution, consisting of a seeding phase, the system's evolutionary growth and periodical reseedings.