We describe an approach towards integrating the semantics of semi-structured documents with tasksupport for (weakly-structured) business processes and proactive inferencing capabilities of a desk support agent. The proactive assistance of the intelligent agent is motivated by the requirements posed in (weakly-structured) business processes performed by a typical knowledge worker. First, we intr...

In previous papers we have argued for the complete integration of natural language understanding with the rest of the cognitive system. Given a set of richly indexed memory structures, we have claimed that parsing is a general memory search process guided by predictive patterns of lexical and conceptual items which are a part of those memory structures. In this paper, we demonstrate that our ar...

The paper characterizes natural language inferencing in the TIBAQ method of question-answering, focussing on three aspects: ~i) specification of the structures on which the inference rules operate, (ii) classification of the rules that have been formulated and implemented up to now, according to the kind of modification of the input structure ti~e rules invoke, an~ (iii) discussion of some poin...

Although Complement Coercion has been systematically associated with computational cost, there remains a serious confound in the experimental evidence built up in previous studies. The confound arises from the fact that lexicosemantic differences within the set of verbs assumed to involve coercion have not been taken into consideration. From among the set of verbs that have been reported to exh...

Anticipating and responding to a partner's emotional reactions are key components in the comprehension of daily social discourse. Kindergarten children with language impairment (LI) and age-matched controls (CA) were asked to label facial expressions depicting 1 of 4 emotions (happy, surprised, sad, mad) and to identify those expressions when given a verbal label. Children then chose among thes...

To address the requirement of enabling a comprehensive perspective of life-sciences data, Semantic Web technologies have been adopted for standardized representations of data and linkages between data. This has resulted in data warehouses such as UniProt, Bio2RDF, and Chem2Bio2RDF, that integrate different kinds of biological and chemical data using ontologies. Unfortunately, the ability to pro...

Goal of the project is to create a robust, fault tolerant, agent-based monitoring system, which is capable of working in cloud/Grid type environment with zero configuration. Created solution should be helpful for system administrators (of a clouds / Grids). To provide additional information about the situation a rule-based inferencing system is going to be included in it. It can be used to prov...

The growing inferencing and knowledge linking power of the Semantic Web will, we all hope, make the world a better place: enrich democratic discourse, support more rapid scientific discovery, enable new forms of personal communication and culture, and generally enhance critical analysis of information. However, with this greater inferencing power comes daunting social and public policy question...

increased intelligence in the system, which AI algorithms have proven useful for demonstrational interfaces, and how we cope with such well-known intelligent-interface-usability issues as knowing what the system can do and what it is doing at any given moment. Demonstrational interfaces allow the user to perform actions on concrete example objects (often using direct manipulation), though the e...