Approaching Ontology Alignment through Representation Learning to Bridge the Semantic Gap in Engineering Applications
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This dissertation investigates the design of large online courses from the pedagogical perspective of knowledge communities. Much of the learning sciences literature has concerned itself with groups of up to 20-30 students, but in universities, courses of ...
Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...
Word embedding is a feature learning technique which aims at mapping words from a vocabulary into vectors of real numbers in a low-dimensional space. By leveraging large corpora of unlabeled text, such continuous space representations can be computed for c ...
The product development process (PDP) is a complex process encompassing many very diverse activities, and involving a fairly big number of actors, spread across different professions, teams and companies. In todayâs product development, more often than n ...
Recently, there has been a lot of effort to represent words in continuous vector spaces. Those representations have been shown to capture both semantic and syntactic information about words. However, distributed representations of phrases remain a challeng ...
We describe a domain-specific knowledge base aimed at supporting the extraction of bibliographic references in the domain of Classics. In particular, we deal with references to canonical works of the Greek and Latin literature by providing a model that rep ...
New product development today is a knowledge-heavy process, but very often this knowledge is not adequately handled, it’s not made readily available to the actors, or is lost within or between similar projects. Furthermore, different legacy tools and data ...
This paper presents an approach to automatically create a knowledge base for smart buildings and let it dynamically evolve based on the behaviors of the occupants inside. Such a knowledge base compromises all life-style experiences and intelligent building ...
In this paper we discuss how the combination of modern technologies in "big data" storage and management, knowledge representation and processing, cloud-based computation, and web technology can help the robotics community to establish and strengthen an op ...
Advances in remote sensing technologies have allowed us to send an ever-increasing number of satellites in orbit around Earth. As a result, Earth Observation data archives have been constantly increasing in size in the last few years, and have become a val ...