Filters








99 Hits in 0.99 sec

Introduction

Sean O'Riain, Fred Block
2003 Politics & Society  
-Sean O'Riain and Fred Block 17 December 2002 POLITICS & SOCIETY  ... 
doi:10.1177/0032329203252269 fatcat:tkixnidhejc7tfphgd7vkvfple

Enhancing the Business Analysis Function with Semantics [chapter]

Sean O'Riain, Peter Spyns
2006 Lecture Notes in Computer Science  
O'Riain and P. Spyns commitment layer, holding a set of instances of explicit ontological commitments (or domain rules) for an application [29, 31] .  ...  O'Riain and P. Spyns An initial 70 candidates were selected and subjected to a lengthy analysis process resulting in the identification of five which were then approached for business discussion.  ... 
doi:10.1007/11914853_50 fatcat:py5zbmkndnfzratuploow4sl2y

SWSE: Answers Before Links!

Andreas Harth, Aidan Hogan, Renaud Delbru, Jürgen Umbrich, Seán O'Riain, Stefan Decker
2007 International Semantic Web Conference  
We present a system that improves on current documentcentric Web search engine technology; adopting an entity-centric perspective, we are able to integrate data from both static and live sources into a coherent, interlinked information space. Users can then search and navigate the integrated information space through relationships, both existing and newly materialised, for improved knowledge discovery and understanding.
dblp:conf/semweb/HarthHDUOD07 fatcat:2kennoflebgedb5o7pphvhncma

Open eBusiness Ontology Usage: Investigating Community Implementation of GoodRelations

Jamshaid Ashraf, Richard Cyganiak, Seán O'Riain, Maja Hadzic
2011 The Web Conference  
The GoodRelations Ontology is experiencing the first stages of mainstream adoption, with its appeal to a range of enterprises as the eCommerce ontology of choice to promote its product catalogue. As adoption increases, so too does the need to review and analyze current implementation of the ontology to better inform future usage and uptake. To comprehensively understand the implementation approaches, usage patterns, instance data and model coverage, data was collected from 105 different web
more » ... d sources that have published their business and product-related information using the GoodRelations Ontology. This paper analyses the ontology usage in terms of data instantiation, and conceptual coverage using SPARQL queries to evaluate quality, usefulness and inference provisioning. Experimental results highlight that early publishers of structured eCommerce data benefit more due to structured data being more readily search engine indexable, but the lack of available product ontologies and product master datasheets is impeding the creation of a semantically interlinked eCommerce Web.
dblp:conf/www/AshrafCOH11 fatcat:ag5aucdunnbezo3ytojc6dtrn4

Interacting with Statistical Linked Data via OLAP Operations [chapter]

Benedikt Kämpgen, Seán O'Riain, Andreas Harth
2015 Lecture Notes in Computer Science  
Online Analytical Processing (OLAP) promises an interface to analyse Linked Data containing statistics going beyond other interaction paradigms such as follow-your-nose browsers, faceted-search interfaces and query builders. As a new way to interact with statistical Linked Data we define comon OLAP operations on data cubes modelled in RDF and show how a nested set of OLAP operations lead to an OLAP query. Then, we show how to transform an OLAP query to a SPARQL query which generates all
more » ... facts from the data cube. Both metadata and OLAP queries are issued directly on a triple store; therefore, if the RDF is modified or updated, changes are propagated directly to OLAP clients.
doi:10.1007/978-3-662-46641-4_7 fatcat:7uyuzrnyvjccdbccp4xbqqdin4

The Role of Community-Driven Data Curation for Enterprises [chapter]

Edward Curry, Andre Freitas, Sean O'Riáin
2010 Linking Enterprise Data  
"'Dirty Data' is a Business Problem, Not an IT Problem, says Gartner,"March 2, 2007 Edward Curry, Andre Freitas, and Sean O'Riáin Digital Curation Centre, http://www.dcc.ac.uk/ Last Accessed  ... 
doi:10.1007/978-1-4419-7665-9_2 fatcat:jbwv772pbrhyddyz7guxp4kkvi

A Distributional Semantic Search Infrastructure for Linked Dataspaces [chapter]

André Freitas, Seán O'Riain, Edward Curry
2013 Lecture Notes in Computer Science  
This paper describes and demonstrates a distributional semantic search service infrastructure for Linked Dataspaces. The center of the approach relies on the use of a distributional semantics infrastructure to provide semantic search and query services over data for users and applications, improving data accessibility over the Dataspace. By accessing the services through a REST API, users can semantically index and search over data using the distributional semantic knowledge embedded in the
more » ... rence corpus. The use of distributional semantic models, which rely on the automatic extraction from large corpora, supports a comprehensive and approximative semantic matching mechanism with a low associated adaptation cost for the inclusion of new data sources.
doi:10.1007/978-3-642-41242-4_27 fatcat:tg2dx3so35addhnewvnu7m4owu

SASA - A Semi-Automatic Semantic Annotator for Personal Knowledge Management

Kim Tighe, Seán O'Riain
2006 International Semantic Web Conference  
Best practice organisations have realised that people and their knowledge remain their greatest assets and will continue to be the largest contributory factor in obtaining future competitive advantage. Knowledge fundamentally derived from people in the absence of their understanding, personal context and application remains largely as obscure information. Current personal knowledge management (PKM) activities do not adequately support the finding, reminding, reuse and collaboration of
more » ... n. In this paper we propose a novel PKM tool called SASA, a semi-automatic semantic annotator of PDF documents, which will enable collecting, connecting and collaborating of discovered information to facilitate knowledge sharing and personal content management within a business setting. SASA, a plug-in for Adobe Acrobat Professional, utilises Semantic Web technologies to enable building, augmenting and sharing of ontologies amongst knowledge workers. Within an ontology named entities are connected to additional information such as Web pages, documents, mail messages, personal notes, and wikis. SASA automatically derives the context of the document, highlights named entities and applies the relevant additional information. The business case for such a tool is outlined and user scenario development used to illustrate how SASA will assist Business Client Account Managers in the laborious process of reviewing, annotating and gathering information from customer documentation by enhancing their PKM.
dblp:conf/semweb/TigheR06 fatcat:2rfvbmlodfhi7bt4rj6hrpogsu

Representing Interoperable Provenance Descriptions for ETL Workflows [chapter]

André Freitas, Benedikt Kämpgen, João Gabriel Oliveira, Seán O'Riain, Edward Curry
2015 Lecture Notes in Computer Science  
The increasing availability of data on the Web provided by the emergence of Web 2.0 applications and, more recently by Linked Data, brought additional complexity to data management tasks, where the number of available data sources and their associated heterogeneity drastically increases. In this scenario, where data is reused and repurposed on a new scale, the pattern expressed as Extract-Transform-Load (ETL) emerges as a fundamental and recurrent process for both producers and consumers of
more » ... on the Web. In addition to ETL, provenance, the representation of source artifacts, processes and agents behind data, becomes another cornerstone element for Web data management, playing a fundamental role in data quality assessment, data semantics and facilitating the reproducibility of data transformation processes. This paper proposes the convergence of this two Web data management concerns, introducing a principled provenance model for ETL processes in the form of a vocabulary based on the Open Provenance Model (OPM) standard and focusing on the provision of an interoperable provenance model for Web-based ETL environments. The proposed ETL provenance model is instantiated in a real-world sustainability reporting scenario.
doi:10.1007/978-3-662-46641-4_4 fatcat:o7d5txmqa5ai7iiohmxwezr7qm

Personalized Question Answering: A Use Case for Business Analysis

VinhTuan Thai, Seán O'Riain, Brian Davis, David O'Sullivan
2006 International Semantic Web Conference  
In this paper, we introduce the Personalized Question Answering framework, which aims at addressing certain limitations of existing domain specific Question Answering systems. Current development efforts are ongoing to apply this framework to a use case within the domain of Business Analysis, highlighting the important role of domain specific semantics. Current research indicates that the inclusion of domain semantics helps to resolve the ambiguity problem and furthermore improves recall for retrieving relevant passages.
dblp:conf/semweb/ThaiODO06 fatcat:xq7z4eetqnaypphaxnnn4yfy4a

Prov4J: A Semantic Web Framework for Generic Provenance Management

André Freitas, Arnaud Legendre, Seán O'Riain, Edward Curry
2010 International Semantic Web Conference  
Provenance is a cornerstone element in the process of enabling quality assessment for the Web of Data. Applications consuming or generating Linked Data will need to become provenance-aware, i.e., being able to capture and consume provenance information associated with the data. This will bring provenance as a key requirement for a wide spectrum of applications. This work describes Prov4J, a framework which uses Semantic Web tools and standards to address the core challenges in the construction
more » ... f a generic provenance management system. The work discusses key software engineering aspects for provenance capture and consumption and analyzes the suitability of the framework under the deployment of a real-world scenario.
dblp:conf/semweb/FreitasLOC10 fatcat:d4enos3lljfihhx6wxh5qf6um4

Querying and Searching Heterogeneous Knowledge Graphs in Real-time Linked Dataspaces [chapter]

André Freitas, Seán O'Riáin, Edward Curry
2019 Real-time Linked Dataspaces  
Introduction As the volume and variety of data sources within a dataspace grow, it becomes a semantically heterogeneous and distributed environment; this presents a significant challenge to querying the dataspace. Approaches used for querying siloed databases fail within large dataspaces because users do not have an a priori understanding of all the available datasets. This chapter investigates the main challenges in constructing query and search services for knowledge graphs within a linked
more » ... aspace. Search and query services within a linked dataspace do not follow a one-size-fits-all approach and utilise a range of different techniques to support different characteristics of data sources and user needs. This chapter is structured as follows: Section 7.2 explores the difference between querying and searching knowledge graphs in a Real-time Linked Dataspace and details the high-level functionality needed by the search and query service. Section 7.3 introduces search and query over dataspaces, discusses the challenges with data heterogeneity in a dataspace, and identifies the core requirement for the search and query service. State-of-the-art analysis of existing approaches to searching and querying is provided in Sect. 7.4. Section 7.5 details an analysis of the emerging design features for creating schema-agnostics query mechanisms, and the chapter concludes in Sect. 7.6.
doi:10.1007/978-3-030-29665-0_7 fatcat:7qb2boh7njgvjiknknaaig5cou

SLUA: Towards Semantic Linking of Users with Actions in Crowdsourcing

Umair ul Hassan, Seán O'Riain, Edward Curry
2013 International Semantic Web Conference  
Recent advances in web technologies allow people to help solve complex problems by performing online tasks in return for money, learning, or fun. At present, human contribution is limited to the tasks defined on individual crowdsourcing platforms. Furthermore, there is a lack of tools and technologies that support matching of tasks with appropriate users, across multiple systems. A more explicit capture of the semantics of crowdsourcing tasks could enable the design and development of
more » ... g services between users and tasks. The paper presents the SLUA ontology that aims to model users and tasks in crowdsourcing systems in terms of the relevant actions, capabilities, and rewards. This model describes different types of human tasks that help in solving complex problems using crowds. The paper provides examples of describing users and tasks in some real world systems, with SLUA ontology.
dblp:conf/semweb/Hassan13 fatcat:gxkdquf4l5cmvpydghzcgc22mi

Capturing Interactive Data Transformation Operations Using Provenance Workflows [chapter]

Tope Omitola, André Freitas, Edward Curry, Séan O'Riain, Nicholas Gibbins, Nigel Shadbolt
2015 Lecture Notes in Computer Science  
The ready availability of data is leading to the increased opportunity of their re-use for new applications and for analyses. Most of these data are not necessarily in the format users want, are usually heterogeneous, and highly dynamic, and this necessitates data transformation efforts to re-purpose them. Interactive data transformation (IDT) tools are becoming easily available to lower these barriers to data transformation efforts. This paper describes a principled way to capture data lineage
more » ... of interactive data transformation processes. We provide a formal model of IDT, its mapping to a provenance representation, and its implementation and validation on Google Refine. Provision of the data transformation process sequences allows assessment of data quality and ensures portability between IDT and other data transformation platforms. The proposed model showed a high level of coverage against a set of requirements used for evaluating systems that provide provenance management solutions.
doi:10.1007/978-3-662-46641-4_3 fatcat:f5zzbssxzbbjrhwugelc7rxqju

W3P: Building an OPM based provenance model for the Web

Andre Freitas, Tomas Knap, Sean O'Riain, Edward Curry
2011 Future generations computer systems  
Sean O' Riain has a background in information technology across research, telecom and IT sectors.  ...  Having worked for Hewlett-Packard's European Software Centre, Sean has had considerable industrial experience in large scale data integration, data analysis and database technologies.  ... 
doi:10.1016/j.future.2010.10.010 fatcat:eceuavergbatxlm6hz6djjx4gy
« Previous Showing results 1 — 15 out of 99 results