Browsing by Subject "Linked data"
Now showing items 1-20 of 46
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Abstract A27: A linked data approach to discover HPV oncoprotiens and RB1 induced mutation associations for the retinoblastoma research
(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
(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 ... -
Big linked cancer data: Integrating linked TCGA and PubMed
(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 ... -
Building performance optimization using cross-domain scenario modeling, linked data, and complex event processing
(Elsevier, 2013-01-28)The scenario modeling method empowers building managers by enabling comprehensive performance analysis in commercial buildings, but is currently limited to data from the building management domain. This paper proposes that ... -
The colloquial WordNet: Extending Princeton WordNet with neologisms
(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 ... -
Entity Linking with Multiple Knowledge Bases: An Ontology Modularization Approach
(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 ... -
Evaluating and benchmarking the performance of federated SPARQL endpoints and their partitioning using selected metrics and specific query types
(2017-02-07)The increasing amount of Linked Data and its inherent distributed nature have created for need to developing and researching querying technologies. Inspired by research results from traditional distributed databases, ... -
Exploiting RDFS and OWL for Integrating Heterogeneous, Large-Scale, Linked Data Corpora
(2011-03-11)The Web contains a vast amount of information on an abundance of topics, much of which is encoded as structured data indexed by local databases. However, these databases are rarely interconnected and information reuse ... -
Facilitating scientometrics in learning analytics and educational data mining - The LAK dataset
(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 ... -
Federating Distributed Social Data to Build an Interlinked Online Information Society
(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 ... -
Graph summarisation of web data: data-driven generation of structured representations
(2016-08-31)The advent of the Internet enabled the sharing of information between people all around the world. Projects like Wikipedia have made human knowledge accessible to anybody with a simple mouse click. The Linked Data movement ... -
A hybrid method for rating prediction using linked data features and text reviews
(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 ... -
Improving data workflow systems with cloud services and use of open data for bioinformatics research
(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 ... -
Integrating tagging into the web of data: Overview and combination of existing tag ontologies
(Taiwan Academic Network, 2011-07)As the number of social websites offering tagging facilities increases, tagging has become not only a common basis for user participation, but also an important aspect of social content. Tagging is primarily based on the ... -
Interactive Water Services: The Waternomics Approach
(Elsevier, 2014)WATERNOMICS focuses on the development of ICT as an enabling technology to manage water as a resource, increase end - user conservation awareness and affect behavioral changes. Unique aspects of WATERNOMICS include ... -
Interactive water services: The WATERNOMICS approach
(Elsevier, 2014-12-17)WATERNOMICS focuses on the development of ICT as an enabling technology to manage water as a resource, increase end-user conservation awareness and affect behavioral changes. Unique aspects of WATERNOMICS include personalized ... -
Large scale data integration of OSS repositories for automated soft and technical factors assessment
(2015-04-22)As of today, software development does not revolve around a piece of source code but also around large volume of software project related information that exists in different software repositories hosting a software project. ... -
Learning content patterns from linked data
(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
(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 ... -
Linguistic linked data for sentiment analysis
(Association for Computational Linguistics, 2013-09-23)In this paper we describe the specification of a model for the semantically interoperable representation of language resources for sentiment analysis. The model integrates ‘lemon’, an RDF-based model for the specification ...