Now showing items 1-19 of 19

  • Big linked cancer data: Integrating linked TCGA and PubMed 

    Saleem, M; Kamdar, M; Iqbal, A; Sampath, S; Deus, H; Ngomo, A (Elsevier, 2014-07-07)
    The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...
  • Big linked cancer data: Integrating linked TCGA and PubMed 

    Kamdar, Maulik R.; Iqbal, Aftab; Sampath, Shanmuka (Elsevier ScienceDirect, 2014-07-16)
    The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety ...
  • Entity Linking with Multiple Knowledge Bases: An Ontology Modularization Approach 

    Pereira, Bianca (Springer, 2014-10-19)
    The recognition of entities in text is the basis for a series of applications. Synonymy and Ambiguity are among the biggest challenges in identifying such entities. Both challenges are addressed by Entity Linking, the task ...
  • Federating Distributed Social Data to Build an Interlinked Online Information Society 

    Passant, Alexandre; Samwald, Matthias; Breslin, John; Decker, Stefan (2009)
    While research on the relation- ship between the Semantic Web and social media was originally motivated by the lack of semantics in mainstream Web 2.0 ser- vices, this vision can go much further, impacting society at large ...
  • A hybrid method for rating prediction using linked data features and text reviews 

    Yumusak, Semih; Muñoz, Emir; Minervini, Pasquale; Dogdu, Erdogan; Kodaz, Halife (CEUR-WS.org, 2016)
    This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ...
  • Learning content patterns from linked data 

    Muñoz, Emir (CEUR-WS.org, 2014)
    Linked Data (LD) datasets (e.g., DBpedia, Freebase) are used in many knowledge extraction tasks due to the high variety of domains they cover. Unfortunately, many of these datasets do not provide a description for their ...
  • Learning from Linked Open Data Usage: Patterns & Metrics 

    Möller, Knud; Hausenblas, Michael; Cyganiak, Richard; Handschuh, Siegfried (2010)
    Although the cloud of Linked Open Data has been growing continuously for several years, little is known about the particular features of linked data usage. Motivating why it is important to understand the usage of Linked ...
  • Linked Data and the Semantic Web Standards 

    Hogan, Aidan (Chapman and Hall / CRC Press, 2013)
    On the traditional World Wide Web we all know and love, machines are used as brokers of content: they store, organize, request, route, transmit, receive and display content encapsulated as documents. In order for machines ...
  • Linked Data Driven Information Systems as an enabler for Integrating Financial Data 

    O'Riain, Sean; Harth, Andreas; Curry, Edward (IGI Global, 2011)
    With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information ...
  • Linked Data tagging with LODr 

    Passant, Alexandre (2008)
    We demonstrate one of the potential paths of the evolution of wiki engines towards Web 3.0. We introduce 3dWiki - the 3D wiki engine, which was built according to 2-Layer Interface Paradigm (2LIP). It was developed ...
  • A linked data-based decision tree classifier to review movies 

    Aldarra, Suad; Muñoz, Emir (CEUR-WS.org, 2015)
    In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ...
  • LODr - A Linking Open Data Tagging System 

    Passant, Alexandre (CEUR-WS.org, 2008)
    This demo paper introduces LODr, a service providing semantic enrichment features for existing tagged content from various Web 2.0 services, based on the MOAT and Linked Data principles.
  • On a Linked Data platform for Irish historical vital records 

    Debruyne, Christophe (Springer, 2015)
    The Irish Record Linkage 1864-1913 is a multi-disciplinary project aiming to create a platform for analyzing events captured in historical birth, marriage and death records by applying semantic technologies for annotating, ...
  • On the need of integrating social media channels and open source software repositories 

    Iqbal, Aftab; Decker, Stefan (IEEE, 2015)
    The growing interest in the usage of social media channels have attracted the open source software community to adopt an identity in order to disseminate project-related information to a wider audience. We foresee the need ...
  • Path-based semantic relatedness on linked data and its use to word and entity disambiguation 

    Hulpus, Ioana; Prangnawarat, Narumol; Hayes, Conor (2015)
    Semantic relatedness and disambiguation are fundamental problems for linking text documents to the Web of Data. There are many approaches dealing with both problems but most of them rely on word or concept distribution ...
  • RDFS & OWL Reasoning for Linked Data 

    Hogan, Aidan; Delbru, Renaud; Umbrich, Jurgen (na, 2013)
    Linked Data promises that a large portion of Web Data will be usable as one big interlinked RDF database against which structured queries can be answered. In this lecture we will show how reasoning - using RDF Schema (RDFS) ...
  • Understanding Linked Open Data as a Web-Scale Database 

    Hausenblas, Michael; Karnstedt, Marcel (2010)
    While Linked Open Data (LOD) has gained much attention in the recent years, requirements and the challenges concerning its usage from a database perspective are lacking. We argue that such a perspective is crucial for ...
  • Using linked data to mine RDF from wikipedia's tables 

    Muñoz, Emir; Hogan, Aidan; Mileo, Alessandra (ACM, 2014)
    The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these tables cannot be queried against. We thus propose methods to recover the semantics of ...
  • Where is the News Breaking? Towards a Location-based Event Detection Framework for Journalists 

    Khare, Prashant; Heravi, Bahareh Rahmanzadeh (Springer, 2014)
     The rise of user-generated content (UCG) as a source of information in the journalistic lifecycle is driving the need for automated methods to detect, filter, contextualise and verify citizen reports of breaking news ...