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A framework for semantic link discovery over relational data

Oktie Hassanzadeh, Anastasios Kementsietsidis, Lipyeow Lim, Renée J. Miller, Min Wang
2009 Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09  
In this paper, we present a framework for discovery of semantic links from relational data. Our framework is based on declarative specification of linkage requirements by a user.  ...  Many of these data sources are published using tools that operate over relational data stored in a standard RDBMS.  ...  A wide variety of data publishing methodologies based on generation of RDF view over relational data are widely used in these data sources.  ... 
doi:10.1145/1645953.1646084 dblp:conf/cikm/HassanzadehKLMW09 fatcat:qk3vzc7ywnaylfxx7hoewpnolq

A declarative framework for semantic link discovery over relational data

Oktie Hassanzadeh, Lipyeow Lim, Anastasios Kementsietsidis, Min Wang
2009 Proceedings of the 18th international conference on World wide web - WWW '09  
In this paper, we present a framework for online discovery of semantic links from relational data.  ...  These requirements are translated to queries that can run over the relational data source, potentially using the semantic knowledge to enhance the accuracy of link discovery.  ...  CONCLUSION In this paper, we outlined a declarative extensible framework for link discovery from relational data.  ... 
doi:10.1145/1526709.1526876 dblp:conf/www/HassanzadehLKW09 fatcat:l5gl3wcrufhdrci6fvzuroca64

A new wave of innovation in Semantic web tools for drug discovery

Samantha Kanza, Jeremy Graham Frey
2019 Expert Opinion on Drug Discovery  
The use of semantic web technologies to aid drug discovery has gained momentum over recent years.  ...  Researchers in this domain have realized that semantic web technologies are key to dealing with the high levels of data for drug discovery.  ...  [98] illustrating the added value of using Semantic web technologies for drug discovery.  ... 
doi:10.1080/17460441.2019.1586880 pmid:30884989 fatcat:qsss5sv2jndo3dnlr7medsushy

A Fully Distributed Scheme for Discovery of Semantic Relationships

Juan Li, Hui Wang, Samee Ullah Khan, Qingrui Li, Albert Y. Zomaya
2013 IEEE Transactions on Services Computing  
Semantic relation discovery is a fundamental technology in analytical domains, such as business intelligence and homeland security.  ...  This paper proposes an effective strategy to discover semantic relationships over large-scale distributed networks based on a novel hierarchical knowledge abstraction and an efficient discovery protocol  ...  The relation discovery problem was then converted into a path discovery problem over the semantic graph.  ... 
doi:10.1109/tsc.2012.16 fatcat:jebtrabmordrpb5cn3hsclvb7m

LinkedCT: A Linked Data Space for Clinical Trials [article]

Oktie Hassanzadeh, Anastasios Kementsietsidis, Lipyeow Lim, Renee J. Miller, Min Wang
2009 arXiv   pre-print
The Linked Clinical Trials (LinkedCT) project aims at publishing the first open semantic web data source for clinical trials data.  ...  Our approach for semantic link discovery involves using state-of-the-art approximate string matching techniques combined with ontology-based semantic matching of the records, all performed in a declarative  ...  Implementation We extend the existing methods for ontology-based keyword search over relational data for ontology-based link discovery.  ... 
arXiv:0908.0567v1 fatcat:i5if25dtvbfwbnrecypdg2ny7y

Latent table discovery by semantic relationship extraction between unrelated sets of entity sets of structured data sources [article]

Gowri Shankar Ramaswamy, F Sagayaraj Francis
2011 arXiv   pre-print
Solution to these problems is answered to some extent by moving towards semantic technology by making data and the database meaningful.  ...  Syntactic queries rely on the database table structure, which is a cause of concern for large organisations due to incompatibility between heterogeneous systems that store data distributed across geographic  ...  Semantic link discovery over relational database This is a framework for online discovery of semantic links from relational data.  ... 
arXiv:1104.1311v1 fatcat:qzco3znp7jc5vgw7xxwzdvbr4a

Linked Data Exploration in Product Life-Cycle Management [chapter]

Soumaya El Kadiri, Ana Milicic, Dimitris Kiritsis
2013 IFIP Advances in Information and Communication Technology  
Second, it extends reasoning mechanisms offered by semantic technologies, to conduct comparative and in-depth data analysis based on data mining and pattern discovery.  ...  In this paper we propose a methodology to support a PLM approach taking advantage from the emerging semantic web technologies and the underlying paradigm of Linked Data.  ...  up an item identified through the URI. • Looking up a URI leads to more data. • Links to URIs in other data sets should be included to enable further data discovery.  ... 
doi:10.1007/978-3-642-41263-9_57 fatcat:o4i3a5ylzfal3k2ksa5m7dasjq

Distributed discovery of semantic relationships

Juan Li, Hui Wang
2010 2010 IEEE/IFIP Network Operations and Management Symposium Workshops  
The availability of large volumes of Semantic Web data has created the potential of discovering vast amount of knowledge, among which semantic relation discovery fundamentally changes the way we acquire  ...  of the Semantic Web data faces numerous challenges such as usability, scalability, and heterogeneity.  ...  Therefore, relation discovery can be performed by finding semantic paths at the super peer layer.  ... 
doi:10.1109/nomsw.2010.5486562 fatcat:3s4y5l4rrvdlxmczk4ngzottku

Semantic Web for Health Care and Life Sciences: a review of the state of the art

K.-H. Cheung, E. Prud'hommeaux, Y. Wang, S. Stephens
2009 Briefings in Bioinformatics  
Others have focused on Linked Data, which allows people to use data browsers to surf across silos of data that have been converted into linked data using approaches like relational to RDF mapping.  ...  Dumontier et al. discuss a number of approaches for capturing pharmacogenomic data and other related information to facilitate data sharing and knowledge discovery.  ... 
doi:10.1093/bib/bbp015 pmid:19304871 pmcid:PMC2659295 fatcat:mhhm4ztj5za7nlie4ng6xgdfi4

Topology and semantic based topic dependency structure discovery

Anping Zhao, Suresh Manandhar, Lei Yu
2018 Filomat  
As an important enabler in achieving the maximum potential of text data analysis, topic relationship dependency structure discovery is employed to effectively support the advanced text data analysis intelligent  ...  This not only exploits the association dependency between topics but also leverages a series of upper-level semantic topics covered by the text data.  ...  Problem statement and preliminaries Problem statement Topic relationship discovery is to find relational dependency links between topics from a group of discovered topics.  ... 
doi:10.2298/fil1805843z fatcat:pxeqwsun5rbzvepeg5m7ksvimi

Taking flight with OWL2

Michel Dumontier
2011 Semantic Web Journal  
Increased understanding and a focus on scalability has also moved OWL from toy applications towards large scale knowledge bases for data verification, question answering and knowledge discovery.  ...  Data provisioning: Linked Data and RDF For better or for worse, the Semantic Web effort is currently about exposing and linking data using URIs -under the moniker of Linked Data -and acts as a first step  ...  But since SPARQL based queries over RDF-based linked data seem to satisfy most users, why bother with more?  ... 
doi:10.3233/sw-2011-0048 fatcat:amu4va3q4zcwnmwnw4vwwahypm

Linkage Query Writer

Oktie Hassanzadeh, Reynold Xin, Renée J. Miller, Anastasios Kementsietsidis, Lipyeow Lim, Min Wang
2009 Proceedings of the VLDB Endowment  
We present Linkage Query Writer (LinQuer), a system for generating SQL queries for semantic link discovery over relational data.  ...  We demonstrate different steps of the linkage requirements specification and discovery process in several real world scenarios and show how the LinQuer system can be used to create high-quality linked  ...  CONCLUSION In this demonstration, we will present a declarative extensible framework for link discovery from relational data.  ... 
doi:10.14778/1687553.1687599 fatcat:emsydbbidrhdnlszbhwwssjdti

The semantic web in translational medicine: current applications and future directions

C. M. Machado, D. Rebholz-Schuhmann, A. T. Freitas, F. M. Couto
2013 Briefings in Bioinformatics  
, data interoperability and knowledge discovery.  ...  Semantic web technologies offer an approach to data integration and sharing, even for resources developed independently or broadly distributed across the web.  ...  Since RDF data may be distributed over disparate data sources (including data stores exporting RDF from non-RDF relational databases), SPARQL has to retrieve data from all these resources.  ... 
doi:10.1093/bib/bbt079 pmid:24197933 pmcid:PMC4293377 fatcat:pjvgleeqnnc5hdnohuyw4kk2jq

Semantics for the Internet of Things

Payam Barnaghi, Wei Wang, Cory Henson, Kerry Taylor
2012 International Journal on Semantic Web and Information Systems (IJSWIS)  
The addition of semantics has also helped create machine-interpretable and self-descriptive data in the IoT domain.  ...  In this article we review some of the recent developments on applying the semantic technologies to IoT -in particular, information modeling, ontology design, and processing of semantic data -and discuss  ...  Data).  ... 
doi:10.4018/jswis.2012010101 fatcat:is4yue53hrblfchvxcqzuw2prm

Semantic Subgroup Discovery and Cross-Context Linking for Microarray Data Analysis [chapter]

Igor Mozetič, Nada Lavrač, Vid Podpečan, Petra Kralj Novak, Helena Motaln, Marko Petek, Kristina Gruden, Hannu Toivonen, Kimmo Kulovesi
2012 Lecture Notes in Computer Science  
We show how enriched gene sets are found by using ontology information as background knowledge in semantic subgroup discovery.  ...  Bisociative reasoning is at the heart of creative, accidental discovery (e.g., serendipity), and is focused on finding unexpected links by crossing contexts.  ...  For each rule, there is a corresponding set of over expressed genes from the experimental data.  ... 
doi:10.1007/978-3-642-31830-6_27 fatcat:ros55glzj5aktly7fzyycdnf7u
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