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Author = HAMPSON, CORMAC;
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Displaying Results 1 - 15 of 15 on page 1 of 1
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Using Expert-Derived Aesthetic Attributes to Help Users in Browsing Image Databases
(2011)
CONLAN, OWEN; HAMPSON, CORMAC
Using Expert-Derived Aesthetic Attributes to Help Users in Browsing Image Databases
(2011)
CONLAN, OWEN; HAMPSON, CORMAC
Abstract:
Image repositories often contain a large amount of metadata about their content. However many resources, such as photographs, have inherent aesthetic qualities that can be difficult to describe in a semantically consistent and usable manner, yet would be highly valuable for users in exploring large image repositories, such as Flickr. Automatically augmenting existing metadata with expert perspectives has the potential to give users a consistent aesthetic vocabulary to search and explore such repositories. SARA (Semantic Attribute Reconciliation Architecture) is a system that supports users to leverage domain expertise while searching for items in a metadata-rich domain. X2Photo is a tool built on SARA?s functionality to enable image searching based on a picture?s aesthetic characteristics and user-generated tags. This paper describes X2Photo in detail, the approach to augmenting visual media with expertise, and the evaluation results which reveal how semantically described aesthetic...
http://hdl.handle.net/2262/59673
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Facilitating Casual Users in Interacting with Linked Data through Domain Expertise
(2011)
HAMPSON, CORMAC; CONLAN, OWEN
Facilitating Casual Users in Interacting with Linked Data through Domain Expertise
(2011)
HAMPSON, CORMAC; CONLAN, OWEN
Abstract:
Linked Data use has expanded rapidly in recent years; however there is still a lack of support for casual users to create complex queries over this Web of Data. Until this occurs, the real benefits of having such rich metadata available will not be realised by the general public. This paper introduces an approach to supporting casual users discover relevant information across multiple Linked Data repositories, by enabling them to leverage and tailor semantic attributes. Semantic attributes are semantically meaningful terms that encapsulate expert rules encoded in multiple formats, including SPARQL. Semantic attributes are created in SABer (Semantic Attribute Builder), which is usable by non-technical domain experts. This opens the approach to almost any domain. A detailed evaluation of SABer is described within this paper, as is a case study that shows how casual users can use semantic attributes to explore multiple structured data sources in the music domain.
http://hdl.handle.net/2262/59672
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CULTURA: Supporting Enhanced Exploration of Cultural Archives through Personalisation
(2012)
LAWLESS, SEAMUS; HAMPSON, CORMAC; O'CONNOR, ALEXANDER; CONLAN, OWEN; WADE, VINCENT...
CULTURA: Supporting Enhanced Exploration of Cultural Archives through Personalisation
(2012)
LAWLESS, SEAMUS; HAMPSON, CORMAC; O'CONNOR, ALEXANDER; CONLAN, OWEN; WADE, VINCENT PATRICK
http://hdl.handle.net/2262/67053
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Semantically holistic and personalized views across heterogeneous information sources
(2007)
HAMPSON, CORMAC; CONLAN, OWEN
Semantically holistic and personalized views across heterogeneous information sources
(2007)
HAMPSON, CORMAC; CONLAN, OWEN
Abstract:
A consolidated view of the content within different data repositories would facilitate useful operations such as advanced informational discovery. This paper proposes a methodology and an architecture that uses semantic annotations to enable such holistic views across domain specific information sources. The potential for the personalization of this annotated information is described, and the future work necessary to implement the system is elaborated on.
http://hdl.handle.net/2262/22581
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The CULTURA Portal: Exploring Cultural Treasures
(2013)
LAWLESS, SEAMUS; CONLAN, OWEN; HAMPSON, CORMAC
The CULTURA Portal: Exploring Cultural Treasures
(2013)
LAWLESS, SEAMUS; CONLAN, OWEN; HAMPSON, CORMAC
Abstract:
This paper introduces the CULTURA system which is pioneering the next generation of online tools for interacting with the cultural treasures of Eu- rope. An overview of the architecture is presented which highlights some of the key features of the CULTURA environment. This is accompanied by a brief description of the intended workflow of both the user and the services. A live version of the portal can be found at http://cultura-project.eu
http://hdl.handle.net/2262/67967
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Towards Non-expert Users Monitoring Networks and Services through Semantically Enhanced Visualizations
(2010)
HAMPSON, CORMAC; KEENEY, JOHN; CONLAN, OWEN
Towards Non-expert Users Monitoring Networks and Services through Semantically Enhanced Visualizations
(2010)
HAMPSON, CORMAC; KEENEY, JOHN; CONLAN, OWEN
Abstract:
Managing networks and services in large virtual enterprises often requires significant expertise to decipher and reconcile information coming from several heterogeneous sources. This presents a significant challenge as the person with the network management expertise is not necessarily the person who has the task or vision of how to maximize the value of these services. Conversely it would be valuable for dedicated network managers to have insight into the meaning of the services running over the network. This paper presents an approach to empowering users to monitor and eventually manage network devices and services that they are not necessarily expert in. This paper details this challenge, presents two enabling technological frameworks and offers two compelling case studies currently being addressed in the Federated, Autonomic Management of End-to-End Communications Services (FAME) project.
http://hdl.handle.net/2262/49402
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CULTURA: A Metadata-Rich Environment to Support the Enhanced Interrogation of Cultural Collections
(2012)
HAMPSON, CORMAC; LAWLESS, SEAMUS; CONLAN, OWEN; WADE, VINCENT PATRICK
CULTURA: A Metadata-Rich Environment to Support the Enhanced Interrogation of Cultural Collections
(2012)
HAMPSON, CORMAC; LAWLESS, SEAMUS; CONLAN, OWEN; WADE, VINCENT PATRICK
http://hdl.handle.net/2262/67048
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Realizing Just-in-Time Personalization - A Technology Overview
(2012)
KOIDL, KEVIN; HAMPSON, CORMAC; CONLAN, OWEN
Realizing Just-in-Time Personalization - A Technology Overview
(2012)
KOIDL, KEVIN; HAMPSON, CORMAC; CONLAN, OWEN
http://hdl.handle.net/2262/67050
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Fostering Interaction with Cultural Heritage Material via Annotations: The FAST-CAT Way
(2013)
CONLAN, OWEN; HAMPSON, CORMAC
Fostering Interaction with Cultural Heritage Material via Annotations: The FAST-CAT Way
(2013)
CONLAN, OWEN; HAMPSON, CORMAC
Abstract:
This paper describes the innovative annotation facilities of the CULTURA portal for digital humanties, which are aimed at improving the interaction of non specialist users and general public with cultural heritage contents. The annotation facilities are comprised by two modules: the FAST annotation service as back-end and the CAT Web front-end integrated in the CULTURA portal.
http://hdl.handle.net/2262/67966
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Challenges in Locating Content and Services for Adaptive eLearning Courses
(2011)
WADE, VINCENT PATRICK; CONLAN, OWEN; HAMPSON, CORMAC
Challenges in Locating Content and Services for Adaptive eLearning Courses
(2011)
WADE, VINCENT PATRICK; CONLAN, OWEN; HAMPSON, CORMAC
Abstract:
Efficiently locating learning content and web services for adaptive and personalized online courses is a demanding research area. This paper identifies the key challenges that need to be addressed. An approach is then presented that empowers educators to locate relevant learning resources and services through domain expertise and semantics that are meaningful to them. This approach utilizes the existing SARA, SABer and Adaptive Engine systems, in order to support an application that educators can effectively engage with to form adaptive courses. A compelling case study in the Technology Enhanced Learning domain is detailed, as well as an overview of the architecture that the AMAS project uses for supporting such a scenario.
http://hdl.handle.net/2262/59674
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Dynamically Adjusting Digital Educational Games Towards Learning Objectives
(2010)
CONLAN, OWEN; HAMPSON, CORMAC; KOIDL, KEVIN
Dynamically Adjusting Digital Educational Games Towards Learning Objectives
(2010)
CONLAN, OWEN; HAMPSON, CORMAC; KOIDL, KEVIN
Abstract:
Personalization techniques offer the possibility to tailor each learner?s experience of a Digital Educational Game (DEG) to their specific needs. Such personalizations can adapt the challenge and difficulty of the DEG to the learner?s cognitive ability, motivation and gaming abilities. In particular, complex story based DEGs have introduced micro adaptive approaches, in which the adaptivity is applied in specific learning situations that do not usually affect the overall story line of the game. For adaptivity to be applied across an entire story based DEG, macro level adaptivity, such as learning situation sequencing, needs to be addressed. Such adaptivity can provide the means to dynamically adjust a DEG towards learning objectives based on the learner?s evolving needs, whilst monitoring and adapting to the learners motivation. For this the applied adaptations need to consider a holistic view by encompassing different dimensions within DEGs, such as learning, game play and narrativ...
http://hdl.handle.net/2262/49405
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The CULTURA Project: Supporting Next Generation Interaction with Digital Cultural Heritage Collections
(2012)
HAMPSON, CORMAC; LAWLESS, SEAMUS; CONLAN, OWEN; WADE, VINCENT PATRICK
The CULTURA Project: Supporting Next Generation Interaction with Digital Cultural Heritage Collections
(2012)
HAMPSON, CORMAC; LAWLESS, SEAMUS; CONLAN, OWEN; WADE, VINCENT PATRICK
http://hdl.handle.net/2262/67049
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Evaluating the CULTURA System for Cultural Heritage Collections: What do Researchers of Tomorrow Think?
(2013)
CONLAN, OWEN; Steiner, Christina M.; Sweetnam, Mark; Hillemann, Eva-Catherine; Hampson,...
Evaluating the CULTURA System for Cultural Heritage Collections: What do Researchers of Tomorrow Think?
(2013)
CONLAN, OWEN; Steiner, Christina M.; Sweetnam, Mark; Hillemann, Eva-Catherine; Hampson, Cormac
http://hdl.handle.net/2262/91389
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Leveraging Domain Expertise to Support Complex, Personalized and Semantically Meaningful Queries Across Separate Data Sources
(2010)
HAMPSON, CORMAC; CONLAN, OWEN
Leveraging Domain Expertise to Support Complex, Personalized and Semantically Meaningful Queries Across Separate Data Sources
(2010)
HAMPSON, CORMAC; CONLAN, OWEN
Abstract:
Abstract?Almost all information domains have witnessed an exponential increase in the amount of structured data available. However, there is still a lack of support for ordinary users to create complex queries spanning multiple information sources. Until this occurs the real benefits of having such a proliferation of metadata will not be realized by the general public. This paper describes SARA (Semantic Attribute Reconciliation Architecture), which is a framework that helps users leverage expert knowledge to discover relevant information, and to draw correlations across separate information sources. These sources can be in various data formats, and are accessed by users in a consolidated fashion. Users are supported in their information exploration with the knowledge of experts, which they can further tailor to better suit their needs. SARA offers tools and support for domain experts with no computing experience to encode their expertise, thus opening up SARA?s use to almost any do...
http://hdl.handle.net/2262/41257
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Supporting Personalised Information Exploration through Subjective Expert-created Semantic Attributes
(2009)
HAMPSON, CORMAC; CONLAN, OWEN
Supporting Personalised Information Exploration through Subjective Expert-created Semantic Attributes
(2009)
HAMPSON, CORMAC; CONLAN, OWEN
Abstract:
Ordinary users are finding it increasingly difficult to explore the large volumes of diverse data they encounter in their everyday lives. Techniques based on data mining algorithms are useful but they tend to be too complex for casual users to work with effectively. Furthermore, these techniques don?t allow the user to engage with the information using semantics meaningful to them. Semantically enriched and personalized data exploration is seen as an essential step to support such users. Moreover, by allowing these users to leverage and personalize the subjective insights and knowledge of experts, more relevant and useful information can be discovered and interesting correlations drawn. In order to support these domain specific explorations, a prototype architecture named SARA (Semantic Attribute Reconciliation Architecture) has been built, and its underlying methodology, implementation and initial evaluation are described within this paper.
http://hdl.handle.net/2262/34170
Displaying Results 1 - 15 of 15 on page 1 of 1
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