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Web-Based Measure of Semantic Relatedness
TLDR
This paper explores the use of a semantic relatedness measure between words, that uses the Web as knowledge source, and defines a new semanticrelatedness measure among ontology terms that fulfils the above mentioned desirable properties to be used on the Semantic Web.
Querying the web: a multiontology disambiguation method
TLDR
The proposed method processes a set of related keywords in order to discover and extract their implicit semantics, obtaining their most suitable senses according to their context and applies an iterative disambiguation algorithm that uses a semantic relatedness measure based on Google frequencies.
Ontology Matching with CIDER: Evaluation Report for the OAEI 2008
TLDR
A schema-based alignment algorithm compares each pair of ontology terms by extracting their ontological contexts up to a certain depth and combining different elementary ontology matching techniques, which shows a very good behaviour in terms of precision, while preserving an acceptable recall.
Ontology matching with CIDER: evaluation report for OAEI 2011
TLDR
In this new approach, the burden of manual selection of weights has been definitely eliminated, while preserving the performance with respect to CIDER’s previous participation in the benchmark track (at OAEI’08), and areas of potential improvement are discovered.
Spider: Bringing Non-equivalence Mappings to OAEI
TLDR
A carrier for electronic components which generate heat during their operation, such as high power semiconductors, is disclosed and includes complementary ends which are designed to conserve space when more than one carrier is mounted on a substrate containing an electronic circuit.
DynaLearn - An Intelligent Learning Environment for Learning Conceptual Knowledge
TLDR
An overview of the DynaLearn system, an Intelligent Learning Environment that allows learners to acquire conceptual knowledge by constructing and simulating qualitative models of how systems behave, uses diagrammatic representations for learners to express their ideas.
The apertium bilingual dictionaries on the web of data
TLDR
This paper describes the conversion of the Apertium family of bilingual dictionaries and lexicons into RDF (Resource Description Framework) and how their data have been made accessible on the Web as linked data.
Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries
The experiments presented here exploit the properties of the Apertium RDF Graph, principally cycle density and nodes’ degree, to automatically generate new translation relations between words, and
Discovering the Semantics of User Keywords
TLDR
A system that takes as input a list of plain keywords pro- vided by a user and translates them into a query expressed in a formal language without ambiguity, which discovers the semantics of user keywords by consulting the knowledge represented by many (heterogeneous and distributed) ontologies.
Multilingual dictionaries and the Web of Data
TLDR
The Linguistic Linked Open Data Cloud shows how language and data can be linked to one another and provide insights into the building blocks of language and information architecture.
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