AN EARLY GOAL FOR AI SYSTEMS was to provide a response when a user typed a problem description into a computer. With help desks, this classic problem emerges in modern form. One example is when a user enters a complete problem description and expects a program to provide help, often in the form of relevant documents from a database. The information-retrieval community has extensively addressed ...

Ontology Mapping is a mandatory requirement for enabling semantic interoperability among different agents and services relying on different ontologies. This aspect becomes more critical in Peer-to-Peer (P2P) networks for several reasons: (i) the number of different ontologies can dramatically increase; (ii) mappings among peer ontologies have to be discovered on the fly and only on the parts of...

Multimodality requires the integration of heterogeneous transportation data to construct a broad view of the transportation network. Many new transportation services are emerging while being isolated from previously-existing networks. This leads them to publish their data sources to the web, according to linked data principles, in order to gain visibility. Our interest is to use these data to c...

The XMapGen and XMapSig systems are flexible and self-configuring matching tools using different strategies for combining multiple similarity measures into a single aggregated metric with the final aim of improving the ontology alignment quality of large scale ontologies. XMapGen and XMapSig are two variants of XMap++. The results obtained by the two ontology matching tools within the 9th editi...

This paper introduces the Gait Gate as the first online walkthrough access control system based on multimodal biometric person verification. Face, gait and height modalities are simultaneously captured by a single RGB-D sensor and fused at the matching-score level. To achieve the real-time requirements, mutual subspace method has been used for the face matcher. An acceptance threshold has been ...

Transformation of business messages from one trading partner’s definition to another, or from one business message type to another is a common requirement for enterprise data integration applications. Transforming these business messages entails resolving issues of structural and semantic heterogeneity between their schemas. In this paper, we propose an automatic schema matching approach called...

In this work, we formulate the fixed-length distribution matching as a Bayesian inference problem. Our proposed solution is inspired from the compressed sensing paradigm and the sparse superposition (SS) codes. First, we introduce sparsity in the binary source via position modulation (PM). We then present a simple and exact matcher based on Gaussian signal quantization. At the receiver, the dem...

A new simple but robust method of front-end analysis, nonlinear spectral smoothing (NLSS), is proposed. NLSS uses rank-order filtering to replace noisy low-level speech spectrum coefficients with values computed from adjacent spectral peaks. The resulting transformation bears significant similarities with masking in the auditory system. It can be used as an intermediate processing stage between...

SPHeRe is an ontology matching system that utilizes cloud infrastructure for matching large scale ontologies and focus on alignment representation to be stored in the Mediation Bridge Ontology (MBO). MBO is the mediation ontology that stores all the alignments generated between the matched ontologies and represents it in a manner that provides maximum metadata information. SPHeRe is a new initi...