Now showing items 1-14 of 14

  • Abstract A27: A linked data approach to discover HPV oncoprotiens and RB1 induced mutation associations for the retinoblastoma research 

    Jha, Alokkumar; Khan, Yasar; Rebholz-Schumann, Dietrich; Sahay, Ratnesh (American Association for Cancer Research, 2017-01)
    Background: LOSS or GAIN in tumor suppressor gene RB1 play a significant role as in case of loss low penetrance where only 39% of eye at risk develops in retinoblastoma. This research covers the multiple mutation types and ...
  • 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 ...
  • The colloquial WordNet: Extending Princeton WordNet with neologisms 

    McCrae, John P.; Wood, Ian D.; HIcks, Amanda (Springer International Publishing, 2017-05-27)
    Princeton WordNet is one of the most important resources for natural language processing, but has not been updated for over ten years and is not suitable for analyzing the fast moving language as used on social media. We ...
  • Facilitating scientometrics in learning analytics and educational data mining - The LAK dataset 

    Dietze, Stefan; Taibi, Davide; d’Aquin, Mathieu (IOS Press, 2016-11-06)
    The Learning Analytics and Knowledge (LAK) Dataset represents an unprecedented corpus which exposes a near complete collection of bibliographic resources for a specific research discipline, namely the connected areas of ...
  • Improving data workflow systems with cloud services and use of open data for bioinformatics research 

    Karim, Md. Rezaul; Michel, Audrey; Zappa, Achille; Baranov, Pavel; Sahay, Ratnesh; Rebholz-Schuhmann, Dietrich (Oxford University Press, 2017-04-16)
    Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data access and data analytics, and to share the final data analytics approach with their collaborators. Increasingly, such systems ...
  • 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 ...
  • A linked data visualiser for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Jares, Joao; Freitas, Andre; Jha, Alok Kumar; Sakellarios, Antonis; Sahay, Ratnesh (World Scientific Publishing, 2016)
    Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological ...
  • MixedEmotions: An open-source toolbox for multi-modal emotion analysis 

    Buitelaar, Paul; Wood, Ian D.; Negi, Sapna; Arcan, Mihael; McCrae, John P.; Abele, Andrejs; Robin, Cécile; Andryushechkin, Vladimir; Ziad, Housam; Sagha, Hesam; Schmitt, Maximilian; Schuller, Björn W.; Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Navarro, Carlos; Giefer, Andreas; Heise, Nicolaus; Masucci, Vincenzo; Danza, Francesco A.; Caterino, Ciro; Smrž, Pavel; Hradiš, Michal; Povolný, Filip; Klimeš, Marek; Matějka, Pavel; Tummarello, Giovanni (IEEE, 2018-01-25)
    Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ...
  • One size does not fit all: querying web polystores 

    Khan, Yasar; Zimmermann, Antoine; Jha, Alokkumar; Gadepally, Vijay; d'Aquin, Mathieu; Sahay, Ratnesh (IEEE, 2019-01-17)
    Data retrieval systems are facing a paradigm shift due to the proliferation of specialized data storage engines (SQL, NoSQL, Column Stores, MapReduce, Data Stream, and Graph) supported by varied data models (CSV, JSON, ...
  • 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) ...
  • SAFE: SPARQL federation over RDF data cubes with access control 

    Khan, Yasar; Saleem, Muhammad; Mehdi, Muntazir; Hogan, Aidan; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (BioMed Central, 2017-02-01)
    Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these resources is tightly controlled by stakeholders; ...
  • Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data 

    Jha, Alokkumar; Khan, Yasar; Mehdi, Muntazir; Karim, Md Rezaul; Mehmood, Qaiser; Zappa, Achille; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (BioMed Central, 2017-09-19)
    Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing a massive amount of sequencing datasets. Often, these datasets ...
  • Where to search top-K biomedical ontologies? 

    Oliveira, Daniela; Butt, Anila Sahar; Haller, Armin; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (Oxford University Press, 2018-03-20)
    Motivation Searching for precise terms and terminological definitions in the biomedical data space is problematic, as researchers find overlapping, closely related and even equivalent concepts in a single or multiple ...