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Charting DBpedia: Towards a Cartography of a Major Linked Dataset
[chapter]
2012
Categories, Contexts and Relations in Knowledge Organization
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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
2017
International Semantic Web Conference
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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]
2019
arXiv
pre-print
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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]
2015
Lecture Notes in Computer Science
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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
2016
2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)
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2016 pre-print arXiv:1604.00933v1 fatcat:og6255pds5exnjlak2b4mxg6vm
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
2019
Proceedings of the 2019 Conference of the North
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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
2014
Proceedings of the 19th international conference on Intelligent User Interfaces - IUI '14
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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]
2019
arXiv
pre-print
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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
2018
Proceedings of the 20th International Conference on Enterprise Information Systems
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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]
2010
Lecture Notes in Computer Science
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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
2014
Proceedings of the 10th International Conference on Semantic Systems - SEM '14
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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
2016
NTCIR Conference on Evaluation of Information Access Technologies
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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]
2020
arXiv
pre-print
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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]
2020
arXiv
pre-print
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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
2019
International Conference on Language, Data, and Knowledge
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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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