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Charting DBpedia: Towards a Cartography of a Major Linked Dataset [chapter]

M. Cristina Pattuelli, Sara Rubinow
2012 Categories, Contexts and Relations in Knowledge Organization  
This paper provides an analysis of the knowledge structure underlying DBpedia, one of the largest and most heavily used datasets in the current Linked Data landscape.  ...  The study reveals an evolving knowledge representation environment where different descriptive and classification approaches are employed concurrently.  ...  Infoboxes are key to understanding both the origin of the properties that populate the DBpedia knowledge base and to gaining a better sense of the structure underlying DBpedia.  ... 
doi:10.5771/9783956504402-75 fatcat:c7jbpk2yyngxva4szxnki2pfkq

Towards Profiling Knowledge Graphs

Heiko Paulheim
2017 International Semantic Web Conference  
In this paper, I will discuss methods for Knowledge Graph profiling, depict crucial differences of the big, well-known Knowledge Graphs, like DBpedia, YAGO, and Wikidata, and throw a glance at current  ...  Understanding what is in those knowledge graphs is a crucial prerequisite for selecing a Knowledge Graph for a task at hand.  ...  Seitner, Christian Bizer, Kai Eckert, Stefano Faralli, Robert Meusel, and Simone Ponzetto for their contributions to the original WebIsA database, and Sven Hertling for his works on DBkWik and WebIsALOD  ... 
dblp:conf/semweb/Paulheim17 fatcat:jilspgw2k5fhvfctmkpj5xavpq

Emergent Properties of Finetuned Language Representation Models [article]

Alexandre Matton, Luke de Oliveira
2019 arXiv   pre-print
We analyze the redundancy and location of information contained in output vectors for one such language representation model -- BERT.  ...  Though there exists ample evidence that such models work well, we aim to understand what happens when they work well.  ...  Acknowledgments The authors would like to acknowledge useful conversations with Ian Lane, Jungsuk Kim, Osman Başkaya, Richie Feng, Alfredo Láinez, Warren Green, Umair Akeel, and the entire Twilio AI team  ... 
arXiv:1910.10832v1 fatcat:lex7wf4ws5b33jobuhc75ujsn4

Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain [chapter]

Phuong T. Nguyen, Paolo Tomeo, Tommaso Di Noia, Eugenio Di Sciascio
2015 Lecture Notes in Computer Science  
We tested four different recommendation approaches exploiting both DBpedia and Freebase in the music domain.  ...  The recent boom in Linked Data facilitates a new stream of data-intensive applications that leverage the knowledge available in semantic datasets such as DBpedia and Freebase.  ...  Acknowledgements The authors acknowledge partial support of PON01 03113 ERMES, PON02 00563 3470993 Vincente and PON02 00563 3446857 KHIRA.  ... 
doi:10.1007/978-3-319-25007-6_35 fatcat:qmhyw2g5tvhbhdlsggdzlk3naa

Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding

Walid Shalaby, Khalifeh Al Jadda, Mohammed Korayem, Trey Grainger
2016 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)  
Additionally, our approach utilizes both entity linguistic properties obtained from WordNet and ontological properties extracted from DBpedia.  ...  Understanding the types of entities expressed in a search query (Company, Skill, Job Title, etc.) enables more intelligent information retrieval based upon those entities compared to a traditional keyword-based  ...  Though we also utilize a Wikipedia search index to retrieve articles related to query entities, our approach utilizes totally different features and entity representation to infer entity type. III.  ... 
doi:10.1109/compsac.2016.109 dblp:conf/compsac/ShalabyAKG16 fatcat:26qwomj5yrhf5fvkk5gs62v4ge

Old is Gold: Linguistic Driven Approach for Entity and Relation Linking of Short Text

Ahmad Sakor, Isaiah Onando Mulang', Kuldeep Singh, Saeedeh Shekarpour, Maria Esther Vidal, Jens Lehmann, Sören Auer
2019 Proceedings of the 2019 Conference of the North  
In this work, we present the Falcon approach which effectively maps entities and relations within a short text to its mentions of a background knowledge graph.  ...  Falcon performs joint entity and relation linking of a short text by leveraging several fundamental principles of English morphology (e.g. compounding, headword identification) and utilizes an extended  ...  Acknowledgments This work has received funding from the EU H2020 Project No. 727658 (IASIS) and partially funded from Fraunhofer IAIS KDDS project No. 500747.  ... 
doi:10.18653/v1/n19-1243 dblp:conf/naacl/SakorMSSV0A19 fatcat:rcskcbc4qjaebc34zxn2vnizdu

Employing linked data and dialogue for modelling cultural awareness of a user

Ronald Denaux, Vania Dimitrova, Lydia Lau, Paul Brna, Dhaval Thakker, Christina Steiner
2014 Proceedings of the 19th international conference on Intelligent User Interfaces - IUI '14  
This paper investigates how semantic technologies could be used to: (a) extract a pool of concrete culturally-relevant facts from DBpedia that can be linked to various cultural groups and to the learner  ...  The usability and usefulness of the approach is evaluated by CrowdFlower and Expert Inspection.  ...  For extending the core ontologies and to achieve more concrete conceptualization, we have utilized DBpedia.  ... 
doi:10.1145/2557500.2557529 dblp:conf/iui/DenauxDLBTS14 fatcat:3lxb72iw7rd7nb2hcmylvjgbdm

Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases [article]

Akshay Parekh, Ashish Anand, Amit Awekar
2019 arXiv   pre-print
We exploit Wikidata and DBpedia in a data-driven manner, and Wikipedia Infobox templates manually to generate lists of relations.  ...  This hierarchy contains 623 canonical relations with highest contribution from Wikipedia Infobox followed by DBpedia and Wikidata.  ...  Manually collected relations from Wikipedia Infobox dominate 7 out of the 9 buckets. The contributions of DBpedia and Wikidata towards each bucket is almost similar.  ... 
arXiv:1909.06249v4 fatcat:kp2sz7ec25erbozk4licdif5lq

Management of Data Value Chains, a Value Monitoring Capability Maturity Model

Rob Brennan, Judie Attard, Markus Helfert
2018 Proceedings of the 20th International Conference on Enterprise Information Systems  
The evidence of best practice gathered here from the state of the art shows that there is a hierarchy of data value dimensions for data value monitoring, starting with cost and peaking with utility (understanding  ...  This framework and CMM will enable organisations to identify and measure the current state of their data value monitoring processes, and show how to take steps to enhance value monitoring in order to exploit  ...  ACKNOWLEDGEMENTS This research was partially supported by Science Foundation Ireland and co-funded by the European Regional Development Fund through the ADAPT Centre for Digital Content Technology [grant  ... 
doi:10.5220/0006684805730584 dblp:conf/iceis/BrennanAH18 fatcat:cnf7k5mqwbcgnkwid2ldabxjmm

Ontology Alignment for Linked Open Data [chapter]

Prateek Jain, Pascal Hitzler, Amit P. Sheth, Kunal Verma, Peter Z. Yeh
2010 Lecture Notes in Computer Science  
In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored.  ...  B rdfs:subClassOf A, and we abstract from the (syntactic) difference.  ...  We would like to sincerely thank Jérôme Euzenat for his insightful comments about the work which were extremely helpful in refining our manuscript.  ... 
doi:10.1007/978-3-642-17746-0_26 fatcat:6h4gmnlcxzdwdfqz3qcxyeckjy

Toward matching the relation instantiation from DBpedia ontology to Wikipedia text

Younggyun Hahm, Youngsik Kim, Yousung Won, Jongsung Woo, Jiwoo Seo, Jiseong Kim, Seongbae Park, Dosam Hwang, Key-Sun Choi
2014 Proceedings of the 10th International Conference on Semantic Systems - SEM '14  
In overcoming this problem, resources representing semantics or relations of words such as WordNet 1 and FrameNet 2 are considered useful.  ...  In this paper we determined whether DBpedia ontology is enough to cover a sufficient amount of natural language written knowledge in Wikipedia.  ...  Remaining work We have tried hard to figure out the difference between FrameNet and DBpedia ontologies but it is still far from clear.  ... 
doi:10.1145/2660517.2660534 dblp:conf/i-semantics/HahmKWWSKPHC14 fatcat:uvdf3j2hcvfazpnxqmhdb66x5a

CMUQA: Multiple-Choice Question Answering at NTCIR-12 QA Lab-2 Task

Dheeru Dua, Bhawna Juneja, Sanchit Agarwal, Kotaro Sakamoto, Di Wang, Teruko Mitamura
2016 NTCIR Conference on Evaluation of Information Access Technologies  
We made improvements in the current system by adding components focused towards Source Expansion and better Semantic Understanding of the question in terms of events and their time-lines.  ...  We tried a lot of different evidencers to understand which dimension we should focus on in making the system better.  ...  We need to add evidencers which have better lexical understanding of the Wikipedia text and the questions.  ... 
dblp:conf/ntcir/DuaJASWM16 fatcat:quisdhlsird4jbkqarb7jmpvfu

Uncovering Hidden Semantics of Set Information in Knowledge Bases [article]

Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
2020 arXiv   pre-print
could enable interesting applications in question answering and KB curation.  ...  In KBs, this information is often represented in two formats: (i) via counting predicates such as numberOfChildren and staffSize, that store aggregated integers, and (ii) via enumerating predicates such  ...  Identifying set predicates and set alignments would be an important step towards a better understanding of KB semantics.  ... 
arXiv:2003.03155v2 fatcat:pi5jiymw7zh7noxoectrwud2wi

CounQER: A System for Discovering and Linking Count Information in Knowledge Bases [article]

Shrestha Ghosh, Simon Razniewski, Gerhard Weikum
2020 arXiv   pre-print
Predicate constraints of general-purpose knowledge bases (KBs) like Wikidata, DBpedia and Freebase are often limited to subproperty, domain and range constraints.  ...  In the demonstration session, attendees can inspect these alignments, and will learn about the importance of these alignments for KB question answering and curation.  ...  Detecting inter-predicate relations in Knowledge Bases (KBs) beyond inheritance can lead to a better semantic understanding that can be leveraged for important tasks such as KB curation and question answering  ... 
arXiv:2005.03529v1 fatcat:mrm4beq2a5grtfdl3ta3wmwgcy

Exploiting Background Knowledge for Argumentative Relation Classification

Jonathan Kobbe, Juri Opitz, Maria Becker, Ioana Hulpus, Heiner Stuckenschmidt, Anette Frank, Michael Wagner
2019 International Conference on Language, Data, and Knowledge  
understanding and representation of arguments.  ...  from two complementary background knowledge resources: ConceptNet and DBpedia.  ...  that use DBpedia achieve better results at detecting the attack relation, than the settings that do not use DBpedia.  ... 
doi:10.4230/oasics.ldk.2019.8 dblp:conf/ldk/KobbeOBHSF19 fatcat:etbraev7lfavnjc7wflkselgsi
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