Ontology-based knowledge management systems enable the automatic discovery, sharing and reuse of structured data sources on the semantic web. With the emergence of multilingual ontologies, accessing knowledge across natural language barriers has become a pressing issue for the multilingual semantic web. In this paper, a semantic-oriented cross-lingual ontology mapping (SOCOM) framework is propo...

Semantic data models for database systems provide powerful tools to assist database administrators in designing and maintaining schemas, but provide little or no direct support for users of the database. Some research has been done on mapping user models of a domain to the underlying database using semantic schemas. Little has been done, however, on mapping conceptually meaningful data structur...

This study examined how first-year law students developed a civil rights case using an open-ended interactive videodisk ("Litigation Strategies"), which uses a visual and textual database to complement the traditional curriculum by simulating the experience of a junior partner in a law firm. An implementation and formative evaluation examined the use of two types of orienting instruction: (1) u...

We have created an open-source mapping between the SIL’s semantic domains (used for rapid lexicon building and organization for under-resourced languages) and WordNet, the standard resource for lexical semantics in natural language processing. We show that the resources complement each other, and suggest ways in which the mapping can be improved even further. The semantic domains give more gene...

Ontology mapping is the process whereby two ontologies are semantically related at conceptual level and the source ontology instances are transformed into target ontology entities according to those semantic relations. The objective of MAFRA–MApping FRAmework – is to cover all the phases of the ontology mapping process, including analysis, specification, representation, execution and evolution....

To explore the potential application of semantic roles in structural machine translation, we propose to study the automatic learning of English-Chinese bilingual predicate argument structure mapping. We describe ARG ALIGN, a new model for learning bilingual semantic frames that employs monolingual Chinese and English semantic parsers to learn bilingual semantic role mappings with 72.45% Fscore,...

OBJECTIVE Word finding depends on the processing of semantic and lexical information, and it involves an intermediate level for mapping semantic-to-lexical information which also subserves lexical-to-semantic mapping during word comprehension. However, the brain regions implementing these components are still controversial and have not been clarified via a comprehensive lesion model encompassin...

The need for integrating geospatial information (GI) data from various heterogeneous sources has seen increased importance for geographic information system (GIS) interoperability. Using domain ontologies to clarify and integrate the semantics of data is considered as a crucial step for successful semantic integration in the GI domain. Nevertheless, mechanisms are still needed to facilitate sem...

There is general agreement that the problem of data semantics has to be addressed for XML data to become machine-processable. This problem can be tackled by defining a semantic mapping between an XML schema and an ontology. Unfortunately, creating such mappings is a tedious, time-consuming, and error-prone task. To alleviate this problem, we present a solution that heuristically discovers seman...

BACKGROUND Internet-delivered self-help programmes with added therapist guidance have shown efficacy in social anxiety disorder, but unguided self-help has been insufficiently studied. AIMS To evaluate the efficacy of guided and unguided self-help for social anxiety disorder. METHOD Participants followed a cognitive-behavioural self-help programme in the form of either pure bibliotherapy or...