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Subject = ontologies;
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Displaying Results 1 - 25 of 39 on page 1 of 2
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From Subjects to Concept Clouds - Why semantic mapping is necessary
(2008)
THOMAS, HENDRIK
From Subjects to Concept Clouds - Why semantic mapping is necessary
(2008)
THOMAS, HENDRIK
Abstract:
peer-reviewed
To realize the vision of the semantic web it is essential to be able to exchange formal modeled knowledge between applications and humans without loss of meaning. In this paper, we focus on questions relating to meaning, interpretation and subject identity in modern semantic web languages. Based on the semiotic triangle we show that topics as well as RDF resources are symbols, representing concepts and not referents as the common term ?subject? would indicate. A subject can not be represented as a single entity, but rather as a complex and evolving system of different concepts. Based on this insight we explain how the resulting plurality and uncertainness of the interpretation of symbols can be handled using semantic mappings. By defining transformation rules, the exchange and integration of knowledge from different semantic models becomes possible. Concluding we define recommendations and design guidelines for a semantic mapping management system, which is needed ...
http://hdl.handle.net/2262/28807
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A context information service using ontology-based queries
(2004)
CONLAN, OWEN; LEWIS, DAVID; O'SULLIVAN, DECLAN; POWER, RUAIDHRI SEAN; WADE, VINCEN...
A context information service using ontology-based queries
(2004)
CONLAN, OWEN; LEWIS, DAVID; O'SULLIVAN, DECLAN; POWER, RUAIDHRI SEAN; WADE, VINCENT PATRICK
Abstract:
peer-reviewed
Ubiquitous computing environments have the potential to provide rich sources of information about a user and their surroundings. However, the nature of context information means that it must be gathered in an ad-hoc and distributed manner with many devices and sensors storing potentially relevant data. In an ad-hoc ubiquitous computing environment, retrieval of context information cannot rely on a fixed meta-data schema. This works shows how an ontology driven context service architecture may perform distributed open schema queries over heterogeneous context sources in a potentially decentralised manner.
http://hdl.handle.net/2262/22604
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A gossip protocol to support service discovery with heterogeneous ontologies in MANETs
(2007)
Nedos, Andronikos; Singh, Kulpreet; Cunningham, Raymond; Clarke, Siobhán
A gossip protocol to support service discovery with heterogeneous ontologies in MANETs
(2007)
Nedos, Andronikos; Singh, Kulpreet; Cunningham, Raymond; Clarke, Siobhán
Abstract:
Service discovery in mobile ad hoc networks (MANETs) is an integral part for collective application interoperability. The discovery process must cope not only with transient communication but also with an environment where autonomous mobile nodes act as both service providers and consumers. Imposing prede ned service interfaces in such an unpredictable and dynamic environment is an inapppropriate assumption. A more exible description and discovery mechanism can be provided with the use of ontologies and semantic reasoning. Assuming that services are described by heterogeneous ontologies poses many technical challenges but is more realistic than requiring a single domain ontology. In particular, a mechanism is required to match the different ontologies and make provided services available to all nodes. In this paper we present a model to support semantic service discovery in MANETs. A core part of the model is the distributed approach to ontology matching. We rely on the use of a no...
http://hdl.handle.net/10344/1906
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A gossip protocol to support service discovery with heterogeneous ontologies in MANETs
(2007)
CLARKE, SIOBHAN; CUNNINGHAM, RAYMOND
A gossip protocol to support service discovery with heterogeneous ontologies in MANETs
(2007)
CLARKE, SIOBHAN; CUNNINGHAM, RAYMOND
Abstract:
Service discovery is vital in enabling interoperability of distributed service-based applications. In mobile ad hoc net-works (MANETs), discovery must cope not only with transient communication but also with an environment in which mobile nodes are autonomous and connectivity is opportunistic. The use of syntactic service interfaces in MANETs requires a priori agreement on interface names, limiting node autonomy and the range of provided services. A more flexible discovery mechanism can be provided with the use of ontologies. Since the use of a single ontology to describe all services also requires a priori agreement on a common semantic representation, a more realistic assumption is the use of heterogeneous ontologies. However, this assumption poses many technical challenges by requiring a mechanism to match the different ontologies and make provided services available to all nodes. This paper presents a model to support such semantic service discovery in MANETs. A core part of the...
http://hdl.handle.net/2262/16490
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A Review of Situation Identification Techniques in Pervasive Computing
(2012)
Ye, Juan; Dobson, Simon; McKeever, Susan
A Review of Situation Identification Techniques in Pervasive Computing
(2012)
Ye, Juan; Dobson, Simon; McKeever, Susan
Abstract:
Pervasive systems must offer an open, extensible, and evolving portfolio of services which integrate sensor data from a diverse range of sources. The core challenge is to provide appropriate and consistent adaptive behaviours for these services in the face of huge volumes of sensor data exhibiting varying degrees of precision, accuracy and dynamism. Situation identification is an enabling technology that resolves noisy sensor data and abstracts it into higher-level concepts that are interesting to applications. We provide a comprehensive analysis of the nature and characteristics of situations, discuss the complexities of situation identification, and review the techniques that are most popularly used in modelling and inferring situations from sensor data. We compare and contrast these techniques, and conclude by identifying some of the open research opportunities in the area.
https://arrow.dit.ie/scschcomart/47
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A semantical framework for hybrid knowledge bases
(2018)
de Bruijn, Jos; Pearce, David; Polleres, Axel; Valverde, Agustín
A semantical framework for hybrid knowledge bases
(2018)
de Bruijn, Jos; Pearce, David; Polleres, Axel; Valverde, Agustín
Abstract:
In the ongoing discussion about combining rules and ontologies on the Semantic Web a recurring issue is how to combine first-order classical logic with nonmonotonic rule languages. Whereas several modular approaches to define a combined semantics for such hybrid knowledge bases focus mainly on decidability issues, we tackle the matter from a more general point of view. In this paper, we show how Quantified Equilibrium Logic (QEL) can function as a unified framework which embraces classical logic as well as disjunctive logic programs under the (open) answer set semantics. In the proposed variant of QEL, we relax the unique names assumption, which was present in earlier versions of QEL. Moreover, we show that this framework elegantly captures the existing modular approaches for hybrid knowledge bases in a unified way.
http://hdl.handle.net/10379/11090
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A Study on the Use of Ontologies to Represent Collective Knowledge
(2008)
McAuley, John
A Study on the Use of Ontologies to Represent Collective Knowledge
(2008)
McAuley, John
Abstract:
The development of ontologies has become an area of considerable research interest over the past number of years. Domain ontologies are often developed to represent a shared understanding that in turn indicates cooperative effort by a user community. However, the structure and form that an ontology takes is predicated both on the approach of the developer and the cooperation of the user community. A shift has taken place in recent years from the use of highly specialised and expressive ontologies to simpler knowledge models, progressively developed by community contribution. It is within this context that this thesis investigates the use of ontologies as a means to representing collective knowledge. It investigates the impact of the community on the approach to and outcome of knowledge representation and compares the use of simple terminological ontologies with highly structured expressive ontologies in community-based narrative environments.
https://arrow.dit.ie/appamas/24
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Activerdf: embedding semantic web data into object-oriented languages
(2018)
Oren, Eyal; Heitmann, Benjamin; Decker, Stefan
Activerdf: embedding semantic web data into object-oriented languages
(2018)
Oren, Eyal; Heitmann, Benjamin; Decker, Stefan
http://hdl.handle.net/10379/13358
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An abstract framework for modeling argumentation in virtual communities
(2018)
Groza, Tudor; Handschuh, Siegfried; Breslin, John G.; Decker, Stefan
An abstract framework for modeling argumentation in virtual communities
(2018)
Groza, Tudor; Handschuh, Siegfried; Breslin, John G.; Decker, Stefan
Abstract:
Classic argumentative discussions can be found in a variety of domains from traditional scientific publishing to today’s modern social software. An interactive argumentative discussion usually consists of an initial proposition stated by a single creator, followed by supporting propositions or counter-propositions from other contributors, usually part of the same virtual community. Thus, the actual argumentation semantics is hidden in the content created by the contributors. Although there are approaches that try to deal with this challenge, most of them focus on a particular domain, limiting the scope of the argumentation to that domain only. In this article, the authors describe an abstract model for argumentation which captures the semantics independently of the domain. Following a modularized approach, the authors also take into account additional important aspects of the argumentation, like the provenance information or its evolution (the temporal side). Consequently, they pres...
http://hdl.handle.net/10379/7232
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An Electronic Evidence Base Supporting Derivation, Dissemination and Learning for Diagnostic Clinical Prediction Rules in Primary Care Practice
(2016)
Corrigan, Derek T
An Electronic Evidence Base Supporting Derivation, Dissemination and Learning for Diagnostic Clinical Prediction Rules in Primary Care Practice
(2016)
Corrigan, Derek T
Abstract:
<p>Diagnostic error is a threat to patient safety in the context of primary care. Clinical prediction rules (CPRs) are a form of structured evidence based guideline that aim to assist clinical reasoning through the application of empirically quantified evidence to evaluate patient cases. Their acceptance in clinical practice has been hindered by literature-based dissemination and doubts regarding their wider applicability. The use of CPRs as part of electronic decision support tools has also lacked acceptance for many reasons: poor integration with electronic health records and clinician workflow, generalised guidelines lacking patient-specific recommendations at point-of-care, static rule based evidence that lacks transparency and use of proprietary technical standards hindering interoperability.</p> <p>The ‘learning health system’ (LHS) describes a distributed technology based infrastructure to generate computable clinical evidence and efficiently disseminate it ...
https://epubs.rcsi.ie/phdtheses/215
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An empirical survey of linked data conformance
(2018)
Hogan, Aidan; Umbrich, Jürgen; Harth, Andreas; Cyganiak, Richard; Polleres, Axel; Decke...
An empirical survey of linked data conformance
(2018)
Hogan, Aidan; Umbrich, Jürgen; Harth, Andreas; Cyganiak, Richard; Polleres, Axel; Decker, Stefan
http://hdl.handle.net/10379/11953
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An ontology-based approach to knowledge representation for Computer-Aided Control System Design
(2018)
Benavides, Carmen; Garcia, Isaias; Alaiz, Hector; Quesada, Luis
An ontology-based approach to knowledge representation for Computer-Aided Control System Design
(2018)
Benavides, Carmen; Garcia, Isaias; Alaiz, Hector; Quesada, Luis
Abstract:
Different approaches have been used in order to represent and build control engineering concepts for the computer. Software applications for these fields are becoming more and more demanding each day, and new representation schemas are continuously being developed. This paper describes a study of the use of knowledge models represented in ontologies for building Computer Aided Control Systems Design (CACSD) tools. The use of this approach allows the construction of formal conceptual structures that can be stated independently of any software application and be used in many different ones. In order to show the advantages of this approach, an ontology and an application have been built for the domain of design of lead/lag controllers with the root locus method, presenting the results and benefits found.
http://hdl.handle.net/10468/7145
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Automatic extraction of data governance knowledge from slack chat channels
(2018)
Brennan, Rob; Quigley, Simon; De Leenheer, Pieter; Maldonado, Alfredo
Automatic extraction of data governance knowledge from slack chat channels
(2018)
Brennan, Rob; Quigley, Simon; De Leenheer, Pieter; Maldonado, Alfredo
Abstract:
This paper describes a data governance knowledge extraction prototype for Slack channels based on an OWL ontology abstracted from the Collibra data governance operating model and the application of statistical techniques for named entity recognition. This addresses the need to convert unstructured information flows about data assets in an organisation into structured knowledge that can easily be queried for data governance. The abstract nature of the data governance entities to be detected and the informal language of the Slack channel increased the knowledge extraction challenge. In evaluation, the system identified entities in a Slack channel with precision but low recall. This has shown that it is possible to identify data assets and data management tasks in a Slack channel so this is a fruitful topic for further research.
http://doras.dcu.ie/22978/
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Automatic Extraction of Data Governance Knowledge from Slack Chat Channels
(2018)
BRENNAN, ROB; MALDONADO GUERRA, ALFREDO; Quigley, Simon; De Leenheer, Pieter
Automatic Extraction of Data Governance Knowledge from Slack Chat Channels
(2018)
BRENNAN, ROB; MALDONADO GUERRA, ALFREDO; Quigley, Simon; De Leenheer, Pieter
Abstract:
This paper describes a data governance knowledge extraction prototype for Slack channels based on an OWL ontology abstracted from the Collibra data governance operating model and the application of statistical techniques for named entity recognition. This addresses the need to convert unstructured information flows about data assets in an organisation into structured knowledge that can easily be queried for data governance. The abstract nature of the data governance entities to be detected and the informal language of the Slack channel increased the knowledge extraction challenge. In evaluation, the system identified entities in a Slack channel with precision but low recall. This has shown that it is possible to identify data assets and data management tasks in a Slack channel so this is a fruitful topic for further research.
http://hdl.handle.net/2262/91232
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Automatic Metadata Mining from Multilingual Enterprise Content
(2012)
WADE, VINCENT; SAH, MELIKE
Automatic Metadata Mining from Multilingual Enterprise Content
(2012)
WADE, VINCENT; SAH, MELIKE
Abstract:
Personalization is increasingly vital especially for enterprises to be able to reach their customers. The key challenge in supporting personalization is the need for rich metadata, such as metadata about structural relationships, subject/concept relations between documents and cognitive metadata about documents (e.g. difficulty of a document). Manual annotation of large knowledge bases with such rich metadata is not scalable. As well as, automatic mining of cognitive metadata is challenging since it is very difficult to understand underlying intellectual knowledge about document automatically. On the other hand, the Web content is increasing becoming multilingual since growing amount of data generated on the Web is non-English. Current metadata extraction systems are generally based on English content and this requires to be revolutionized in order to adapt to the changing dynamics of the Web. To alleviate these problems, we introduce a novel automatic metadata extraction framework,...
http://hdl.handle.net/2262/62420
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Constraints-driven automatic geospatial service composition: workflows for the analysis of sea-level rise impacts
(2016)
Al-Areqi, Samih; Lamprecht, Anna-Lena; Margaria, Tiziana
Constraints-driven automatic geospatial service composition: workflows for the analysis of sea-level rise impacts
(2016)
Al-Areqi, Samih; Lamprecht, Anna-Lena; Margaria, Tiziana
Abstract:
Building applications based on the reuse of existing components or services has noticeably increased in the geospatial application domain, but researchers still face a variety of technical challenges designing workflows for their specific objectives and preferences. Hence, means for automatic service composition that provide semantics-based assistance in the workflow design process have become a frequent demand especially of end users who are not IT experts. This paper presents a method for automatic composition of workflows for analyzing the impacts of sea-level rise based on semantic domain modeling. The domain modeling comprises the design of adequate services, the definition of ontologies to provide domain-specific vocabulary for referring to types and services, and the input/output annotation of the services using the terms defined in the ontologies. We use the PROPHETS plugin of the jABC workflow framework to show how users can benefit from such a domain model when they apply ...
http://hdl.handle.net/10344/5507
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Developing domain ontologies for courseware content
(2005)
Boyce, Sinead; Pahl, Claus
Developing domain ontologies for courseware content
(2005)
Boyce, Sinead; Pahl, Claus
Abstract:
Ontologies have the potential to play an important role in educational technology. They can be used to represent knowledge about educational content, supporting instructors in creating content or learners in accessing content in a knowledge-guided way. While ontologies exist for many subject domains, their quality and suitability for the educational context might be unclear. For numerous subjects, ontologies do not exist. We present a method for domain experts rather than ontology engineers to develop ontologies for use in the delivery of courseware content. We will focus in particular on relationship types that allow us to model rich domains adequately. Our investigation will be supported by a case study.
http://doras.dcu.ie/17213/
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Embedding nonground logic programs into autoepistemic logic for knowledge-base combination
(2018)
Bruijn, Jos De; Eiter, Thomas; Polleres, Axel; Tompits, Hans
Embedding nonground logic programs into autoepistemic logic for knowledge-base combination
(2018)
Bruijn, Jos De; Eiter, Thomas; Polleres, Axel; Tompits, Hans
Abstract:
In the context of the Semantic Web, several approaches for combining ontologies, given in terms of theories of classical first-order logic and rule bases, have been proposed. They either cast rules into classical logic or limit the interaction between rules and ontologies. Autoepistemic logic (AEL) is an attractive formalism which allows overcoming these limitations by serving as a uniform host language to embed ontologies and nonmonotonic logic programs into it. For the latter, so far only the propositional setting has been considered. In this article, we present three embeddings of normal and three embeddings of disjunctive nonground logic programs under the stable model semantics into first-order AEL. While all embeddings correspond with respect to objective ground atoms, differences arise when considering nonatomic formulas and combinations with first-order theories. We compare the embeddings with respect to stable expansions and autoepistemic consequences, considering the embed...
http://hdl.handle.net/10379/11089
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Extending Siena to support more expressive and flexible subscriptions
(2008)
LEWIS, DAVID; O'SULLIVAN, DECLAN; KEENEY, JOHN; JONES, DOMINIC HUGH
Extending Siena to support more expressive and flexible subscriptions
(2008)
LEWIS, DAVID; O'SULLIVAN, DECLAN; KEENEY, JOHN; JONES, DOMINIC HUGH
Abstract:
This paper defines and discusses the implementation of two novel extensions to the Siena Content-based Network (CBN) to extend it to become a Knowledge-based Network (KBN) thereby increasing the expressiveness and flexibility of its publications and subscription. One extension provides ontological concepts as an additional message attribute type, onto which subsumption relationships, equivalence, type queries and arbitrary ontological subscription filters can be applied. The second extension provides for a bag type to be used that allows bag equivalence, sub-bag and super-bag relationships to be used in subscription filters, possibly composed with any of the Siena subscription operators or the ontological operators previously mentioned. The performance of this KBN implementation has also been explored. However, to maintain scalability and performance it is important that these extensions do not break Siena?s subscription aggregation algorithm. We also introduce the necessary coverin...
http://hdl.handle.net/2262/24540
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Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper
(2014)
Koumpis, Adamantios
Financial Industry Ontologies for Risk and Regulation Data (FIORD): a position paper
(2014)
Koumpis, Adamantios
Abstract:
Conference paper
This paper presents a proposed approach to address risk andregulation management within the highly active and volatile financial domainby employing semantic based technologies within a collaborative networksenvironment. Firstly the problems and motivation are introduced, with accenton big data and high frequency trading issues that are creating major problemsto the current software systems. Secondly the state of the art on Big Data,Regulation and Risk Management are presented. Next the FIORD platformarchitecture is detailed and the envisioned approach explained. Finallyconclusions are presented where benefits for real time monitoring areemphasized so high frequency trading irregularities are detected in real time forthe benefit of involved financial institutions.
http://hdl.handle.net/10379/4104
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Generating and ranking candidate data models from background knowledge
(2021)
Oliveira, Daniela
Generating and ranking candidate data models from background knowledge
(2021)
Oliveira, Daniela
Abstract:
Knowledge graphs have emerged as a core technology to publish, share, and integrate data on the Web. Contrary to traditional data storage solutions, such as relational databases, one of the core functionalities of Knowledge graphs is that data is not required to adhere to strict pre-defined data models. Nonetheless, ontologies are commonly used as a key technology to integrate information in knowledge graphs at the semantic level. Creating an ontology to model a domain is not a trivial task and requires significant investment of time and effort. Therefore, data publishers are encouraged to reuse existing ontologies by extending or modifying concepts already described in the domain. However, finding the right ontologies to model a dataset is a challenge since several valid, relevant data models are likely exist without clear agreement between them. In this thesis, we developed a framework to ease the task of selecting the best data model for a dataset. The framework produces a ra...
http://hdl.handle.net/10379/16394
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Interlinking Heterogeneous Data for Smart Energy Systems
(2019)
O'Sullivan, Declan; Orlandi, Fabrizio; Meehan, Alan; Hossari, Murhaf; Dev, Soumyab...
Interlinking Heterogeneous Data for Smart Energy Systems
(2019)
O'Sullivan, Declan; Orlandi, Fabrizio; Meehan, Alan; Hossari, Murhaf; Dev, Soumyabrata
Abstract:
Smart energy systems in general, and solar energy analysis in particular, have recently gained increasing interest. This is mainly due to stronger focus on smart energy saving solutions and recent developments in photovoltaic (PV) cells. Various data-driven and machine-learning frameworks are being proposed by the research community. However, these frameworks perform their analysis- A nd are designed on-specific, heterogeneous and isolated datasets, distributed across different sites and sources, making it hard to compare results and reproduce the analysis on similar data. We propose an approach based on Web (W3C) standards and Linked Data technologies for representing and converting PV and weather records into an Resource Description Framework (RDF) graph-based data format. This format, and the presented approach, is ideal in a data integration scenario where data needs to be converted into homogeneous form and different datasets could be interlinked for distributed analysis.
http://hdl.handle.net/2262/95723
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Interchanging lexical resources on the semantic web
(2018)
McCrae, John; Aguado-de-Cea, Guadalupe; Buitelaar, Paul; Cimiano, Philipp; Declerck, Th...
Interchanging lexical resources on the semantic web
(2018)
McCrae, John; Aguado-de-Cea, Guadalupe; Buitelaar, Paul; Cimiano, Philipp; Declerck, Thierry; Gómez-Pérez, Asunción; Gracia, Jorge; Hollink, Laura; Montiel-Ponsoda, Elena; Spohr, Dennis; Wunner, Tobias
Abstract:
Lexica and terminology databases play a vital role in many NLP applications, but currently most such resources are published in application-specific formats, or with custom access interfaces, leading to the problem that much of this data is in &quot;data silos&quot; and hence difficult to access. The Semantic Web and in particular the Linked Data initiative provide effective solutions to this problem, as well as possibilities for data reuse by inter-lexicon linking, and incorporation of data categories by dereferencable URIs. The Semantic Web focuses on the use of ontologies to describe semantics on the Web, but currently there is no standard for providing complex lexical information for such ontologies and for describing the relationship between the lexicon and the ontology. We present our model, lemon, which aims to address these gaps while building on existing work, in particular the Lexical Markup Framework, the ISOcat Data Category Registry, SKOS (Simple Knowled...
http://hdl.handle.net/10379/12739
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Lexinfo: a declarative model for the lexicon-ontology interface
(2018)
Cimiano, P.; Buitelaar, P.; McCrae, J.; Sintek, M.
Lexinfo: a declarative model for the lexicon-ontology interface
(2018)
Cimiano, P.; Buitelaar, P.; McCrae, J.; Sintek, M.
http://hdl.handle.net/10379/10795
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Ontology-based query recommendation as a support to image retrieval
(2008)
Murdoch, Olga; Coyle, Lorcan; Dobson, Simon
Ontology-based query recommendation as a support to image retrieval
(2008)
Murdoch, Olga; Coyle, Lorcan; Dobson, Simon
Abstract:
Stock photo libraries are the most common means for publishers and advertisers to find images for their media. Searching for the perfect photo can be a time-consuming and frustrating task. This is because searching is often dependent on the descriptors or tags given to each photo by the editors and contributors to the library. The tagging process is subjective, further complicating the search process. We describe an algorithm that uses domain ontologies to improve the interactions with these libraries. Ontologies are used to expand query terms based on users' initial search queries.We present results that demonstrate that the use of ontologies greatly improves users ability to retrieve photos when undertaking a number of search tasks.
SFI
http://hdl.handle.net/10344/618
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