Browsing Data Science Institute by Title
Now showing items 219-238 of 544
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Intent classification by the use of automatically generated knowledge graphs
(MDPI, 2023-05-12)Intent classification is an essential task for goal-oriented dialogue systems for automatically identifying customers¿ goals. Although intent classification performs well in general settings, domain-specific user goals can ... -
An Interactive Map of Semantic Web Ontology Usage
(IEEE, 2008)Publishing information on the Semantic Web using common formats enables data to be linked together, integrated and reused. In order to fully leverage the potential for interlinking data by reusing existing schemas, an ... -
Interlinking Developer Identities Within and Across Open Source Projects: The Linked Data Approach
(2013)[no abstract available] -
Interlinking Multimedia: How to Apply Linked Data Principles to Multimedia Fragments
(2009)In this paper, we introduce interlinking multimedia (iM), a pragmatic way to apply the linked data principles to fragments of multimedia items. We report on use cases showing the need for retrieving and describing multimedia ... -
Investigating Context Parameters in Technology Term Recognition
(2014)We propose and evaluate the task of technology term recognition: a method to extract technology terms at a synchronic level from a corpus of scientific publications. The proposed method is built on the principles of ... -
Invited Talk: Can We Deal with Emergent Knowledge Yet?
(VSE Prague, 2010)This overview paper briefly describes problems we need to tackle if we want to meaningfully and efficiently process emergent knowledge. By this term we essentially mean knowledge continually emerging in a bottom-up manner ... -
IRIS: English-Irish machine translation system
(European Language Resources Association, 2016-05-23)We describe IRIS, a statistical machine translation (SMT) system for translating from English into Irish and vice versa. Since Irish is considered an under-resourced language with a limited amount of machine-readable text, ... -
Is downloading this App consistent with my values? Conceptualizing a value-centered privacy assistant
(Springer, Cham, 2021-08-25)Digital privacy notices aim to provide users with information to make informed decisions. They are, however, fraught with difficulties. Instead, I propose that data privacy decisions can be understood as an expression of ... -
Is trust between AI institutions and the public “morally rotten?”
(Machine Ethics Research Group, School of Computer Science, University College Dublin, 2020)Developing artificial Intelligence (AI) technology has become a business of power. AI innovation is increasingly centralized in a few large companies – mainly, Google, Facebook, and Apple.1 Specialized data scientists - ... -
JeromeDL - a Semantic Digital Library
(2007)JeromeDL is a Semantic Digital Library engine. It uses SemanticWeb and Social Networking technologies to improve browsing and searching for resources. With JeromeDL¿s social and semantic services every library user ... -
JeromeDL - Adding Semantic Web Technologies to Digital Libraries
(Springer, 2005)In recent years more and more information has been made available on the Web. High quality information is often stored in dedicated databases of digital libraries, which are on their way to become expanding islands of well ... -
JeromeDL and FOAFRealm - Taking Advantage of Semantic Social Collaborative Filtering in Digital Libraries
(2005)In this paper, we present FOAFRealm, a user management library based on social networking and FOAF metadata, and its deployment in JeromeDL, a digital library with semantics. We will demonstrate the most important ... -
Kanopy: Analysing the Semantic Network around Document Topics
(Springer, 2013)External knowledge bases, both generic and domain specific, available on the Web of Data have the potential of enriching the content of text documents with structured information. We present the Kanopy system that makes ... -
Knowledge base completion using distinct subgraph paths
(ACM, 2018-04-09)Graph feature models facilitate efficient and interpretable predictions of missing links in knowledge bases with network structure (i.e. knowledge graphs). However, existing graph feature models-e.g. Subgraph Feature ... -
Knowledge graph driven approach to represent video streams for spatiotemporal event pattern matching in complex event processing
(World Scientific Publishing, 2020)Complex Event Processing (CEP) is an event processing paradigm to perform real-time analytics over streaming data and match high-level event patterns. Presently, CEP is limited to process structured data stream. Video ... -
Knowledge portability with semantic expansion of ontology labels
(Association for Computational Linguistics, 2015-07-26)Our research focuses on the multilingual enhancement of ontologies that, often represented only in English, need to be translated in different languages to enable knowledge access across languages. Ontology translation ... -
Knowledge Sharing and Filtering on Semantic Web 2.0
(2007)E-learning and other popular services that grow on the fertile soil of the Internet technologies usually fail to reach their full potential. With new, emerging technologies of the second generation Internet there is even ... -
Knowledge-Based Search for Oncological Literature: Technical Architecture and User Perspectives
(IEEE, 2009)Using the current state of the art in life science publication search (e.g., PubMed), one can efficiently search for resources containing particular key-words or their combinations. It is impossible to search for abstract ... -
KonneXSALT: First Steps Towards a Semantic Claim Federation Infrastructure
(Springer, 2008)Dissemination, an important phase of scientific research, can be seen as a communication process between scientists. They expose and support their findings, while discussing claims stated in related scientific publications. ...