• Publications
  • Influence
Feature-based opinion mining through ontologies
TLDR
In this paper we propose an innovative opinion mining methodology that takes advantage of new Semantic Web-guided solutions to enhance the results obtained with traditional natural language processing techniques and sentiment analysis processes. Expand
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Sentiment Analysis on Tweets about Diabetes: An Aspect-Level Approach
TLDR
We propose an aspect-level sentiment analysis method based on ontologies in the diabetes domain based on N-gram methods. Expand
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Ontology-based annotation and retrieval of services in the cloud
TLDR
We present a semantically-enhanced platform that will assist in the process of discovering the cloud services that best match user needs. Expand
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Creating a semantically-enhanced cloud services environment through ontology evolution
TLDR
We present a platform that makes use of semantic technologies and techniques to facilitate the discovery of cloud resources meeting the users' needs. Expand
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A semantic-based platform for R&D project funding management
TLDR
We explore the use of ontologies to model R&D grant funding calls and the application of semantic technologies to the development of an enhanced funding management system. Expand
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Automatic detection of satire in Twitter: A psycholinguistic-based approach
TLDR
In recent years, a substantial effort has been made to develop sophisticated methods that can be used to detect figurative language, and more specifically, irony. Expand
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Integrating phenotype ontologies with PhenomeNET
TLDR
We apply the PhenomeNET to identify related classes from two phenotype and two disease ontologies using automated reasoning to align and integrate phenotype ontologies. Expand
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BlindDate recommender: A context-aware ontology-based dating recommendation platform
TLDR
We introduce BlindDate recommender, a context-based platform that utilises semantic technologies to describe users’ preferences more precisely. Expand
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im4Things: An Ontology-Based Natural Language Interface for Controlling Devices in the Internet of Things
TLDR
We present a natural language interface for the IoT, which takes advantage of Semantic Web technologies to allow non-expert users to control their home environment through an instant messaging application in an easy and intuitive way. Expand
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App reviews: breaking the user and developer language barrier
TLDR
We develop an ontology encompassing software attributes derived from software quality models that can be used to classify user reviews of apps. Expand
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