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Identifying Candidate Datasets for Data Interlinking [chapter]

Luiz André P. Paes Leme, Giseli Rabello Lopes, Bernardo Pereira Nunes, Marco Antonio Casanova, Stefan Dietze
2013 Lecture Notes in Computer Science  
One of the design principles that can stimulate the growth and increase the usefulness of the Web of data is URIs linkage.  ...  Hence, the designer of a new dataset must be aware of the existing datasets and inspect their content to define sameAs links.  ...  [10, 2] propose an approach to identify relevant datasets for data linking.  ... 
doi:10.1007/978-3-642-39200-9_29 fatcat:xekdwrgkenbh3eafyahvi4thqy

Linking Web Resources in Web of Data to Encyclopedic Knowledge Base

Farzam Matinfar
2020 Open Computer Science  
To perform this task, we use the core labeling properties in web of data to specify the candidate Wikipedia articles for a web resource.  ...  Given an input web resource, the designed system identifies the topic of the web resource and links it to the corresponding Wikipedia article.  ...  Some of researches are mainly focused on designing approaches for interlinking datasets in specific domains such as linking movie datasets [34] , linking music datasets [35] , linking spatial data, interlinking  ... 
doi:10.1515/comp-2020-0102 fatcat:7dnrb2c2cfhsdgzymhjxfynrbe

Discovering and learning sensational episodes of news events

Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2018 Information Systems  
Dataset interlinking is a great important problem in Linked Data.  ...  for a given dataset.  ...  CONCLUSION In this paper we proposed a novel approach to identify the relevant dataset for data linking on Web of Data.  ... 
doi:10.1016/j.is.2018.05.003 fatcat:5ehjmfeo6bf33dawhyc3zt4l7q

Discovering and learning sensational episodes of news events

Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2014 Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  
Dataset interlinking is a great important problem in Linked Data.  ...  for a given dataset.  ...  CONCLUSION In this paper we proposed a novel approach to identify the relevant dataset for data linking on Web of Data.  ... 
doi:10.1145/2567948.2577290 dblp:conf/www/AoLLZHS14 fatcat:f5zcqnjmnneedalfit2qksaml4

SERIMI results for OAEI 2011

Samur Araújo, Arjen P. de Vries, Daniel Schwabe
2011 International Semantic Web Conference  
We first describe the basic interlinking process and interlinking strategies in SERIMI, and then we present specific techniques used in this track.  ...  For each resource to be interlinked, we use this source entity label for searching for candidate resources in the target dataset.  ...  For each instance r in a source dataset A, we extract its label (its identifier) and we search for instances in a target dataset B that may have a similar label.  ... 
dblp:conf/semweb/AraujoVS11 fatcat:ehlx6rzc5bclbcs4kxjr3njig4

Discovering Loners and Phantoms in Commit and Issue Data

Gerald Schermann, Martin Brandtner, Sebastiano Panichella, Philipp Leitner, Harald Gall
2015 2015 IEEE 23rd International Conference on Program Comprehension  
For example, some projects enforce the use of identifiers for every commit while others have less restrictive conventions.  ...  For example, some projects enforce the use of identifiers for every commit while others have less restrictive conventions.  ...  The Phantom heuristic uses existing links to identify candidates.  ... 
doi:10.1109/icpc.2015.10 dblp:conf/iwpc/SchermannBPLG15 fatcat:zmmaayud55cl5ktswirbalrjhy

Interlinking Linked Data Sources Using a Domain-Independent System [chapter]

Khai Nguyen, Ryutaro Ichise, Bac Le
2013 Lecture Notes in Computer Science  
Finally, SLINT+ uses selected predicate alignments as the guide for generating candidate and matching instances.  ...  Linked data interlinking is the discovery of every owl:sameAs links between given data sources.  ...  Particularly, SLINT+ performs very well on D4 and D5 datasets, which are seem to be difficult for Zhishi.Links to interlink.  ... 
doi:10.1007/978-3-642-37996-3_8 fatcat:haui2ti5zna6hachqqwpyqbfzu

Building Linked Data For Both Humans and Machines

Wolfgang Halb, Yves Raimond, Michael Hausenblas
2008 The Web Conference  
In this paper we describe our experience with building the riese dataset, an interlinked, RDF-based version of the Eurostat data, containing statistical data about the European Union.  ...  Secondly, we introduce a new way of enriching the dataset with high-quality links: the User Contributed Interlinking, a Wiki-style way of adding semantic links to data pages.  ...  The authors would like to thank the Linking Open Data community and the RDFa folks.  ... 
dblp:conf/www/HalbRH08 fatcat:uhdm5y6agjbixn5mg7oun6xfrm

Ontology Instance Linking: Towards Interlinked Knowledge Graphs

Jeff Heflin, Dezhao Song
2016 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
This interlinking process is sometimes referred to as Entity Coreference, i.e., finding which identifiers refer to the same real-world entity.  ...  In order to facilitate data utilization and consumption in the Semantic Web, without compromising the freedom of people to publish their data, one critical problem is to appropriately interlink such heterogeneous  ...  For example, when BSL was used on the Restaurant dataset 10 , a reduction of training set data by 80% led to a 4.68% reduction in true matches identified.  ... 
doi:10.1609/aaai.v30i1.9880 fatcat:tcry7rrv3vgenhrzqv22fdrsgi

Dataset Recommendation for Data Linking: An Intensional Approach [chapter]

Mohamed Ben Ellefi, Zohra Bellahsene, Stefan Dietze, Konstantin Todorov
2016 Lecture Notes in Computer Science  
We introduce a dataset recommendation approach to identify linking candidates based on the presence of schema overlap between datasets.  ...  As an additional contribution, our method returns the mappings between the schema concepts across datasets -a particularly useful input for the data linking step.  ...  Acknowledgements This research has been partially funded under the Datalyse project 24 -FSN-AAP Big Data n3-, by the European Commission-funded DURAARK project (FP7 Grant Agreement No. 600908) and the  ... 
doi:10.1007/978-3-319-34129-3_3 fatcat:dzqu5hjzhvcyrmrne36quewblu

RecLAK: Analysis and Recommendation of Interlinking Datasets

Giseli Rabello Lopes, Luiz André P. Paes Leme, Bernardo Pereira Nunes, Marco A. Casanova
2014 International Conference on Learning Analytics and Knowledge  
RecLAK focuses on the analysis of the LAK dataset metadata and provides recommendations of potential candidate datasets to be interlinked with the LAK dataset.  ...  Furthermore, RecLAK generates graph visualizations that explore the LAK dataset over other datasets in the Linked Open Data cloud.  ...  [9, 10] propose an approach to identify relevant datasets for interlinking applying keywords searches and ontology matching techniques.  ... 
dblp:conf/lak/LopesLNC14 fatcat:apvknok75rherndxlvhvsdkqlq

Three-dimensional Geospatial Interlinking with JedAI-spatial [article]

Marios Papamichalopoulos, George Papadakis, George Mandilaras, Maria Despoina Siampou, Nikos Mamoulis, Manolis Koubarakis
2022 arXiv   pre-print
Geospatial data constitutes a considerable part of (Semantic) Web data, but so far, its sources are inadequately interlinked in the Linked Open Data cloud.  ...  Due to its quadratic time complexity, various algorithms aim to carry out Geospatial Interlinking efficiently.  ...  We presented JedAI-spatial, an open-source system that acts as a library of the state-of-the-art algorithms for Geospatial Interlinking.  ... 
arXiv:2205.01905v2 fatcat:dy2jkbmr6nebvpq45zp6htywfm

Learning Advanced Similarities and Training Features for Toponym Interlinking [chapter]

Giorgos Giannopoulos, Vassilis Kaffes, Georgios Kostoulas
2020 Lecture Notes in Computer Science  
It comprises the process of identifying, between different data sources, entity descriptions that refer to the same real-world entity.  ...  State of the art approaches adopt mostly generic, domain-agnostic similarity functions and use them as is, or incorporate them as training features within classifiers for performing toponym interlinking  ...  After the above representations are defined, the classifier is trained on historical data, i.e. candidate toponym pairs for which we already know their class.  ... 
doi:10.1007/978-3-030-45439-5_8 fatcat:bwqvh7hjezhz3oe5723bopp3au

Re-using Cool URIs: Entity Reconciliation Against LOD Hubs

Fadi Maali, Richard Cyganiak, Vassilios Peristeras
2011 The Web Conference  
They provide well-managed reference identifiers that attract a large share of the incoming links on the Web of Data and play a crucial role in data integration within communities of interest.  ...  In this paper, we explore several approaches to the implementation of reconciliation services that allow third-party publishers to link their data to LOD hubs as part of the data publishing process.  ...  One of these challenges is interlinking and identifier re-use. The Linked Data Principles [2] require URIs to be HTTPbased and dereferenceable.  ... 
dblp:conf/www/MaaliCP11 fatcat:s7qlr245a5f6tcx6a6kptjmpsi

Beyond Established Knowledge Graphs-Recommending Web Datasets for Data Linking [chapter]

Mohamed Ben Ellefi, Zohra Bellahsene, Stefan Dietze, Konstantin Todorov
2016 Lecture Notes in Computer Science  
With the explosive growth of the Web of Data in terms of size and complexity, identifying suitable datasets to be linked, has become a challenging problem for data publishers.  ...  An additional contribution of this work is the provision of benchmarks for dataset interlinking recommendation systems.  ...  The main goal of a recommender system is to reduce the cost of identifying candidate datasets for the interlinking task.  ... 
doi:10.1007/978-3-319-38791-8_15 fatcat:4n5fksvinrfwzfxkxvrymbitzq
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