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Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
[article]
2021
arXiv
pre-print
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Case studies on academic projects and industrial knowledge graphs complement the survey of concepts and methods. ...
On top of this, the article discusses the automatic extraction of entity-centric properties. ...
We also appreciate the sustained encouragement and support by our editors Surajit Chaudhuri, Joe Hellerstein and Ihab Ilyas. ...
arXiv:2009.11564v2
fatcat:vh2lqfmhhbcwpf6dcsej3hhvgy
What You Say is Who You Are. How Open Government Data Facilitates Profiling Politicians
2010
Open Knowledge Conference
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Using expert finding techniques, the system allows users to retrieve a ranked list of politicians, based on queries like news messages. ...
A system is proposed and implemented that creates a language model for each member of the Dutch parliament, based on the official transcripts of the meetings of the Dutch Parliament. ...
The authors wish to thank Russell D. Jones, Howard C. ...
dblp:conf/okcon/MarxN10
fatcat:vmn26uaeezg6bk7o4vt2svxxte
Joint Reasoning for Multi-Faceted Commonsense Knowledge
[article]
2020
arXiv
pre-print
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Prior works on acquiring CSK, such as ConceptNet, have compiled statements that associate concepts, like everyday objects or activities, with properties that hold for most or some instances of the concept ...
Commonsense knowledge (CSK) supports a variety of AI applications, from visual understanding to chatbots. ...
Encyclopedic knowledge bases (KBs) received much a ention, with projects such as DBpedia [3] , Wikidata [45] , Yago [39] or NELL [8] and large knowledge graphs at Amazon, Baidu, Google, Microso etc ...
arXiv:2001.04170v2
fatcat:wlih2w4wl5cr5okfimh7l5zwoe
Automatically acquiring a semantic network of related concepts
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
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He has spent countless hours in conversation with me over the years, passing on his knowledge not only of artificial intelligence and computational linguistics, but also of art, philosophy, history, literature ...
I found in him a veritable Abbé Faria (in the Dumasian sense) whose breadth and depth of knowledge helped make me a more educated and wellrounded person. ...
CYC also includes broad coverage of named entities, much like YAGO and DBpedia. ...
doi:10.1145/1871437.1871445
dblp:conf/cikm/SzumlanskiG10
fatcat:zhykl7wwkrfcjdigpe633odjhi
Efficient Optimization and Processing of Queries over Text-rich Graph-structured Data
2013
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collections annotated with structured data to structure-centric retrieval of data in IMDB and YAGO up to "pure" hybrid data formed by combining Wikipedia and DBpedia. ...
This ranking is adapted at run-time to incorporate new knowledge and thereby increases query performance. ...
YAGO. This is one part of the knowledge base used in [KSI + 08]. ...
doi:10.5445/ksp/1000034423
fatcat:f6qozhf4fbdl7klqzsiawgheby
Knowledge extraction from fictional texts
[article]
2022
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However, current knowledge extraction methods mostly focus on prominent real world entities with Wikipedia and mainstream news articles as sources. ...
Unlike the real-world domain, knowledge extraction on such specific domains like fiction and fantasy has to tackle several key challenges: • Training data. ...
Some of the methods leverage existing knowledge graphs, like YAGO, DBpedia and learn their embeddings to automatically extract the taxonomies [Martel and Zouaq, 2021] . ...
doi:10.22028/d291-36107
fatcat:hdzlcbxc5ngr3hbeotkcdpbjqm
Analyzing Bias in a Knowledge-Aware News Recommendation System
2021
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This thesis investigates bias in the KRED NRS, a content-based knowledge-aware NRS that uses a knowledge graph as side information. ...
In recent years, there has been a surge of research on bias in recommendation systems examining bias in word, text, and knowledge graph embeddings. ...
Several knowledge graphs have been proposed in the last decade, like Google's Knowledge Graph [50] and Microsoft's Satori [18] but also public knowledge graphs, such as DBpedia [31] , WikiData [54 ...
doi:10.5445/ir/1000142028
fatcat:ful4o4eopnasvimpzyslczfn7e
Discovering and understanding word level user intent in Web search queries
2015
Journal of Web Semantics
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We argue that intelligent processing of intent words can be vital to improving the result quality, and in this work we focus on intent word discovery and understanding. ...
not match, respectively, in the text of relevant documents. ...
Acknowledgments The first author was supported by Microsoft Corporation and Microsoft Research India under the Microsoft Research India Ph.D. Fellowship Award (Grant No. 8901901/IITKGP-Fship-2011). ...
doi:10.1016/j.websem.2014.07.010
fatcat:tkjycbjbvnbwppoxam6uli3nxu
Discovering and Understanding Word Level User Intent in Web Search Queries
2015
Social Science Research Network
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We argue that intelligent processing of intent words can be vital to improving the result quality, and in this work we focus on intent word discovery and understanding. ...
not match, respectively, in the text of relevant documents. ...
Acknowledgments The first author was supported by Microsoft Corporation and Microsoft Research India under the Microsoft Research India Ph.D. Fellowship Award (Grant No. 8901901/IITKGP-Fship-2011). ...
doi:10.2139/ssrn.3199173
fatcat:n5tlchiwfnge5dywq3ty2gf2jq
Preservation of spatial information
2017
Integrating ICT in Society
unpublished
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The statements made herein are solely the responsibility of the author. ...
We wish to acknowledge all 12 partner countries that contributed to the work in this project, especially the partners from the National University of Ireland, Galway, who organized the international service-learning ...
Each is presented in the form of a subject-predicate-object statement, and can be constructed as a graph with two nodes (subject and object) connected with the predicate. 20 DBpedia extracts metadata, ...
doi:10.17234/infuture.2017.11
fatcat:l62ckcezzncjjdpz7toae7u3ha
Accelerating SPARQL Queries and Analytics on RDF Data Dissertation by EXAMINATION COMMITTEE
2016
unpublished
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The framework, named SPARTex, bridges the gap between RDF and graph processing. To do so, SPARTex: (i) implements a generic SPARQL operator as a vertex-centric program. ...
Accelerating SPARQL Queries and Analytics on RDF Data Razen Mohammad Al-Harbi The complexity of SPARQL queries and RDF applications poses great challenges on distributed RDF management systems. ...
Public knowledge bases and databases, such as Universal Protein Resource (UniProtKB) [7] , PubChemRDF [8] , DBpedia [9] , Bio2RDF [10] and Probase [11] have billions of facts in RDF format. ...
fatcat:6dfkuah4wzdo3hq7zc3lxdjqea
Representation and contextualization for document understanding
[article]
2019
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To obtain a full understanding of the meaning of the document, that prior knowledge, therefore, has to be retrieved to supplement the text in the document. ...
The second problem is about acquiring document context. A document cannot be fully understood in isolation since it may refer to knowledge that is not explicitly included in its textual content. ...
[HYB + 11]), which is crucial for robust linking of entity mentions to Wikipedia entity pages or entity representations in other knowledge bases, such as, Yago, DBPedia or Freebase. ...
doi:10.15488/4440
fatcat:2igvuxyo6vcyffhspf3xtwbiru
Using Wikipedia Knowledge and Query Types in a New Indexing Approach for Web Search Engines
2014
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Modern search engines struggle to index it independent of the structure of queries and type of Web data, and commonly use indexing based on Web's graph structure to identify high-quality relevant pages ...
Our aim is to design a powerful search engine with a strong focus on how to make the first page highly relevant to the user, and on how to retrieve other pages based on that first page. ...
Other resources are providing highly structured representations of Wikipedia, such as DBPedia 5 , Yago 6 and Wordnet 7 . ...
doi:10.20381/ruor-6304
fatcat:bbie5vtmt5cn5gor4gfzndvhgm