Browsing Data Science Institute by Title
Now showing items 131-150 of 544
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An Eigenvalue-Based Measure for Word-Sense Disambiguation
(FLAIRS 2012, 2012)Current approaches for word-sense disambiguation (WSD) try to relate the senses of the target words by optimizing a score for each sense in the context of all other words' senses. However, by scoring each sense separately, ... -
The ELEXIS interface for interoperable lexical resources
(eLex 2019, 2019-10-01)ELEXIS is a project that aims to create a European network of lexical resources, and one of the key challenges for this is the development of an interoperable interface for different lexical resources so that further ... -
Embedding non-ground logic programs into autoepistemic logic for knowledge base combination
(2011)In the context of the Semantic Web, several approaches to the combination of ontologies, given in terms of theories of classical first-order logic and rule bases, have been proposed. They either cast rules into classical ... -
An Empirical Investigation of Networks in the Blogosphere
(2007)We seek out to investigate the social networks manifested in weblogs. Our dataset, derived from an initial list of URIs, consists of 3.9M files in XML or RDF format, totaling over 400M statements in RDF. We continue ... -
Enabling case-based reasoning on the web of data
(2010-07-20)While Case-based reasoning (CBR) has successfully been deployed on the Web, its data models are typically inconsistent with existing information infrastructure and standards. In this paper, we examine how CBR can operate ... -
Enabling machine learning on the edge using SRAM conserving efficient neural networks execution approach
(National University of Ireland Galway, 2021-09-13)Edge analytics refers to the application of data analytics and Machine Learning (ML) algorithms on IoT devices. The concept of edge analytics is gaining popularity due to its ability to perform AI-based analytics at the ... -
End-to-end tracing and congestion in a blockchain: A supply chain use case in hyperledger fabric
(IGI Global, 2021)Modern supply chain applications are complex systems that play an important role in many different sectors. Supply chain management systems are implemented to handle increasing complexity and flows of goods. However, most ... -
Engineering an aligned gold-standard corpus of human to machine oriented Controlled Natural Language
(IEEE, 2018-12-03)Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. While the abundance of unstructured text helps ... -
Enhancing multiple-choice question answering with causal knowledge
(Association for Computational Linguistics, 2021-06-10)The task of causal question answering aims to reason about causes and effects over a provided real or hypothetical premise. Recent approaches have converged on using transformer-based language models to solve question ... -
Enhancing statistical machine translation with bilingual terminology in a CAT environment
(Association for Machine Translation in the Americas, 2014-10-22)In this paper, we address the problem of extracting and integrating bilingual terminology into a Statistical Machine Translation (SMT) system for a Computer Aided Translation (CAT) tool scenario. We develop a framework ... -
Enrichment of blockchain transaction management with semantic triples
(National University of Ireland Galway, 2020-11-02)Abstract—Enterprise business transactions have both public and private information; hence blockchain adaptation to an enterprise business application needs current blockchain platforms to support both public and private ... -
Entailment for Domain-restricted RDF
(Springer, 2008)We introduce domain-restricted RDF (dRDF) which allows to associate an RDF graph with a fixed, finite domain that interpretations for it may range over. We show that dRDF is a real extension of RDF and discuss impacts on ... -
Entity Linking with Multiple Knowledge Bases: An Ontology Modularization Approach
(Springer, 2014-10-19)The recognition of entities in text is the basis for a series of applications. Synonymy and Ambiguity are among the biggest challenges in identifying such entities. Both challenges are addressed by Entity Linking, the task ... -
enVision: An integrated approach towards Semantic Authoring
(2006)Writing is one of the most common activities of a researcher. And since, the writing process is not only about writing, but also about researching the background of the domain or collecting the necessary references, we ... -
The ESSOT system goes wild: an easy way for translating ontologies
(CEUR-WS.org, 2016-10-17)To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. This activity is time consuming, therefore, smart solutions are required ... -
ESSOT: an expert supporting system for ontology translation
(Springer Verlag, 2016)To enable knowledge access across languages, ontologies, mostly represented only in English, need to be translated into different languages. The main challenge in translating ontologies with machine translation is to ... -
Establishing a distributed system for the simple representation and integration of diverse scientific assertions
(Biomed, 2009)Information technology has the potential to increase the pace of scientific progress by helping researchers in formulating, publishing and finding information. There are numerous projects that employ ontologies and Semantic ... -
Establishing a distributed system for the simple representation and integration of diverse scientific assertions
(Biomed Central, 2011)Information technology has the potential to increase the pace of scientific progress by helping researchers in formulating, publishing and finding information. There are numerous projects that employ ontologies and Semantic ... -
EUREEKA: Deepening the Semantic Web by More Efficient Emergent Knowledge Representation and Processing
(CEUR-WS, 2008)One of the major Semantic Web challenges is the knowledge acquisition bottleneck. New content on the web is produced much faster than the respective machine readable annotations, while a scalable knowledge extraction ...