Integration and exchange of information across the Internet is a universally recognized need, in a wide variety of domains. New promising application fields such as Semantic Web Services can improve the integration process in the Web, dealing with the major difficulty of the semantic heterogeneity in the resources, by means of domain ontologies. In this research, we propose an integration syste...

The design of dialogue systems for a new domain requires semantic classes (concepts) to be identified and defined. This process could be made easier by importing relevant concepts from previously studied domains to the new one. We propose two methodologies, based on comparison of semantic classes across domains, for determining which concepts are domain-independent, and which are specific to th...

The identification and classification of some circumstance semantic roles like Location, Time, Manner and Direction, a task of Semantic Role Labeling (SRL), plays a very important role in building text understanding applications. However, the performance of the current SRL systems on those roles is often very poor, especially when the systems are applied on domains other than the ones they are ...

To analyze and evaluate textbooks, researchers have either proposed scales and checklists to be filled by teachers and learners or conducted qualitative investigations of the match between SLA theories and textbook activities. This study, however, employs the microstructural approach of schema theory to scrutinize the reading passages of “Mosaic 1 Reading”. To this end, 17 passages of the textb...

Existing studies on semantic parsing mainly focus on the in-domain setting. We formulate cross-domain semantic parsing as a domain adaptation problem: train a semantic parser on some source domains and then adapt it to the target domain. Due to the diversity of logical forms in different domains, this problem presents unique and intriguing challenges. By converting logical forms into canonical ...

The effective and dynamic integration of digital library search and meta-search engines into the Semantic Web is a demanding as well as central task. We tackle this task by a flexible Semantic Web Application approach, which is based on the support of two additional types of models, semantic domain models and conceptual user interface models, as well as of flexible mappings between these models...

Many applications need a lexicon that represents semantic information but acquiring lexical information is time consuming. We present a corpus-based bootstrapping algorithm that assists users in creating domain-speciic semantic lexicons quickly. Our algorithm uses a representative text corpus for the domain and a small set of \seed words" that belong to a semantic class of interest. The algorit...

Whether left inferior frontal gyrus (LIFG) activation during sentence comprehension reflects semantic integration or domain-general cognitive control remains unclear. To address this issue, 26 participants were presented with sentences word by word during fMRI scanning and were asked to perform two semantic tasks, one explicit (semantic congruency judgment) and one implicit (font size judgment)...

A major shortcoming of content-based approaches exists in the representation of the user model. Content-based approaches often employ term vectors to represent each user’s interest. In doing so, they ignore the semantic relations between terms of the vector space model in which indexed terms are not orthogonal and often have semantic relatedness between one another. In this paper, we improve th...

Electronic government (e-government) has been one of the most active areas of ontology development during the past six years. In e-government, ontologies are being used to describe and specify e-government services (e-services) because they enable easy composition, matching, mapping and merging of various egovernment services. More importantly, they also facilitate the semantic integration and ...