Abstract. We argue for a compositional semantics grounded in a strongly typed ontology that reflects our commonsense view of the world and the way we talk about it in ordinary language. Assuming the existence of such a structure, we show that the semantics of various natural language phenomena may

Abstract. The Web offers a huge amount of valuable information, but it is very hard and time consuming for a human to retrieve thousands of web pages related to a concept, filter the relevant ones, analyse their information and integrate it in the knowledge repository of a company. A Knowledge Management Platform that performs these tasks has been developed in the IST hTechSight project. This paper describes one of the components of the platform, an agent-based search module that uses the information provided by a domain ontology to find web pages that contain data which is relevant to each one of the concepts of the domain of interest.

There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This paper describes the "symbol grounding problem": How can the semantic interpretation of a formal symbol system

and analyze several measures of tag similarity: Each measure is computed on data from the social bookmarking system del.icio.us and a semantic grounding is provided by mapping pairs of similar tags in the folksonomy to pairs of synsets in Wordnet, where we use validated measures of semantic distance

introduce a novel method for discovering semantically grounded primitives and incrementally building and improving a finite-state representation of a task in which various contingencies can arise. Specifically, a Beta Process Autoregressive Hidden Markov Model is used to automatically segment demonstrations

streams is called stream reasoning. Incremental reasoning over streaming information is necessary to support a number of important robotics functionalities such as situation awareness, execution monitoring, and decision making. This paper presents a practical framework for semantically grounded temporal

]. The idea of emergent semantics is to define the ontology as an emergent feature of a system of autonomous agents acting in dynamic, open environments. Besides an agreement over the kind of environment in which emergence could be observed, there is little common ground in what emergence would constitute. We

-occurrence information provided by LSA (Latent Semantic Analysis; Landauer & Dumais, 1997) to ground the relations between the symbolic elements aligned in analogy. LSA calculates a contextual distribution for each word encountered in a corpus by counting the frequency with which it co-occurs with other words

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of the logic programming language Golog provides a natural formalism for automatically composing services on the Semantic Web. To this end, we adapt and extend the Golog language to enable programs that are generic, customizable and usable in the context of the Web. Further, we propose logical criteria