The SEWASIE (SEmantic Webs and AgentS in Integrated Economies) project (IST-2001-34825) is an European research project that aims at designing and implementing an advanced search engine enabling intelligent access to heterogeneous data sources on the web. In this paper we focus on the Ontology Builder component of the SEWASIE system, that is a framework for information extraction and integratio...

A new tightly coupled speech and natural language integration model is presented for a TDNN-based continuous possibly large vocabulary speech recognition system for Korean. Unlike popular n-best techniques developed for integrating mainly HMM-based speech recognition and natural language processing in a word level, which is obviously inadequate for morphologically complex agglutinative language...

In order to support the use of cognitive architectures in computer simulation studies involving virtual environments, an integration solution is proposed that enables ACT-R cognitive models to communicate with the Unity game engine. The integration solution is tested using virtual robots that are able to move around a 3D virtual environment and interact with various objects. The robots are equi...

Current integration techniques are unsuitable for large-scale integrations involving numerous heterogeneous data sources. Existing methods either require the user to know the semantics of all data sources or they impose a static global view that is not tolerant of schema evolution. These assumptions are not valid in many environments. We present a different approach to integration based on anno...

This paper presents a statistical/symbolic hybrid morphological analysis, called V-morph, for large scale speech and natural language integration for Korean. In the V-morph approach, statistical Viterbi-based lexical decoding and symbolic morphological modeling are integrated together on top of connectionist phoneme recognition engine. Linguistic characteristics of Korean are appropriately cons...

We present an approach for the semantic integration of geoscience data, and a system implementing this approach. Specifically, we demonstrate the use of data ontologies and application of markup languages for semantic integration of data and services. We introduce a domain level object ontology, called Earth and Planetary ONTology (EPONT) to explore, extract, and integrate information from hete...

There is a lack of interoperability, limited reuse and loose integration between the Live, Virtual and/or Constructive assets across multiple Standard Simulation Architectures (SSAs). There has been much research to solve these problems but their solutions resulted in complex and inflexible integration, long time of user-usage and high cost for LVC simulation. The purpose of this research is to...

NUSMV is a symbolic model checker originated from the reengineering, reimplementation and extension of SMV [11], version 2.4.4 (SMV from now on). NUSMV has been designed to be applicable in technology transfer projects: it is a well structured, open, flexible and documented platform for model checking, and is robust and close to industrial systems standards. This paper describes the new version...

In this paper, The purpose and the goal of the paper are to introduce a framework based on onto Geographical information systems (GIS) to integrate geographic information of Urban areas taking Khartoum State as an example. One of the main characteristics of such a framework is to support the information integration and data exchange between facilities using the base maps to solve the problem of...