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LODIE: Linked Open Data for Web-scale Information Extraction

Fabio Ciravegna, Anna Lisa Gentile, Ziqi Zhang
2012 International Conference Knowledge Engineering and Knowledge Management  
We argument that for the first time in the history of IE this will be possible given the availability of Linked Data, a very large-scale information resource, providing annotated data on a growing number  ...  The paper presents a novel methodology for Web scale Information Extraction which will be the core of the LODIE project (Linked Open Data Information Extraction).  ...  Acknowledgments The LODIE project (Linked Open Data Information Extraction) is funded by the Engineering and Physical Sciences Research Council, Grant Reference: EP/J019488/1.  ... 
dblp:conf/ekaw/CiravegnaGZ12 fatcat:j7rjuby7u5h2fgpjgv7ygzjz24

Extracting Comparative Commonsense from the Web [chapter]

Yanan Cao, Cungen Cao, Liangjun Zang, Shi Wang, Dongsheng Wang
2010 IFIP Advances in Information and Communication Technology  
We firstly extract potential comparative statements from related texts based on multiple lexico-syntactic patterns. Then, we assess the candidates using Web-scale statistical features.  ...  Comparative commonsense, such as "In general, a man is stronger than a woman", denotes that one entity has a property or quality greater or less in extent than that of another.  ...  Then, we assess the candidates based on multiple Web-scale statistical features.  ... 
doi:10.1007/978-3-642-16327-2_21 fatcat:ukfdd76xmng4pmiq3jrqypyooe

Bringing taxonomic structure to large digital libraries

David Sanchez, Antonio Moreno
2007 International Journal of Metadata, Semantics and Ontologies  
The system automatically detects and extracts the main topics related to the desired domain, offering a taxonomical structure.  ...  The system has been tested for several digital libraries and domains of knowledge, providing good quality results in all cases.  ...  become a serious problem in a similar way as with the whole web itself but in a lower scale (Kobayashi and Takeda, 2000) .  ... 
doi:10.1504/ijmso.2007.016805 fatcat:j6fygsin6zco7gm4xcfec6fccq

Extraction of Relevant Resources and Questions from DBpedia to Automatically Generate Quizzes on Specific Domains [chapter]

Oscar Rodríguez Rocha, Catherine Faron Zucker, Alain Giboin
2018 Lecture Notes in Computer Science  
The production of quizzes is a time-consuming task that can be automated by taking advantage of existing knowledge bases available on the Web of Linked Open Data (LOD).  ...  Such heuristic has been implemented and used for the automatic generation of quizzes in the geography and privacy domains. We report a comparative user evaluation of it.  ...  Since the knowledge bases on the Semantic Web use different ontologies and ways of structuring their data, we decided to focus our study on DBpedia since it is widely used and provides a large amount of  ... 
doi:10.1007/978-3-319-91464-0_43 fatcat:sjjzwqv455cxzebwxkqtgmjmlq

Combining Linked Data and Statistical Information Retrieval [chapter]

Ricardo Usbeck
2014 Lecture Notes in Computer Science  
By using Semantic Web methods and Linked Data the doctoral work will present how the underlying knowledge is created and elaborated searches can be performed on top.  ...  The Semantic Web provides necessary procedures to augment the highly unstructured Web with suitable metadata in order to leverage search quality and user experience.  ...  It is a web-scale semantic relation extraction framework capable to identify known as well as novel relations on Web pages creating RDF out of them.  ... 
doi:10.1007/978-3-319-07443-6_58 fatcat:jukjpnhkzfeftlt4twe6g3glzu

DIADEM

Tim Furche, Cheng Wang, Georg Gottlob, Giovanni Grasso, Omer Gunes, Xiaoanan Guo, Andrey Kravchenko, Giorgio Orsi, Christian Schallhart, Andrew Sellers
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
In this demonstration, we demonstrate with a first prototype of DIADEM that, in contrast to alchemists, DIADEM has developed a viable formula.  ...  Automatically identifying and extracting these objects is akin to alchemy: transforming unstructured web information into highly structured data with near perfect accuracy.  ...  knowledge base.  ... 
doi:10.1145/2187980.2188025 dblp:conf/www/FurcheGGGGKOSSW12 fatcat:evppfshjzvhtdmidvqlystb5tm

Semi-Automatic Semantic Annotations for Web Documents

Nadzeya Kiyavitskaya, Nicola Zeni, James R. Cordy, Luisa Mich, John Mylopoulos
2005 Semantic Web Applications and Perspectives  
Considering the scale and dynamics of worldwide web, the largest knowledge base ever built, it becomes clear that we cannot afford to annotate web documents manually.  ...  Semantic annotation of the web documents is the only way to make the Semantic Web vision a reality.  ...  Also KIM has a knowledge base of approximately 80,000 entities of general importance to allow information extraction on inter-domain web content. -Methodology.  ... 
dblp:conf/swap/KiyavitskayaZCMM05 fatcat:7rmrppdamzhkvnprobdzlmndvu

Discovering Non-taxonomic Relations from the Web [chapter]

David Sánchez, Antonio Moreno
2006 Lecture Notes in Computer Science  
The discovery of non-taxonomical relationships is one of the less studied knowledge acquisition tasks, even though it is a crucial point in ontology learning.  ...  We also discuss how the obtained relationships may be automatically evaluated, using relatedness measures based on WordNet.  ...  Moreover, web search engines can provide confident measures (web-scale statistics) in an immediate way if the appropriate search queries are formulated [9] .  ... 
doi:10.1007/11875581_76 fatcat:mg6sso7rhfa7fgu2r4gva6fpgi

Refined Commonsense Knowledge from Large-Scale Web Contents [article]

Tuan-Phong Nguyen, Simon Razniewski, Julien Romero, Gerhard Weikum
2022 arXiv   pre-print
This paper presents a method called ASCENT++ to automatically build a large-scale knowledge base (KB) of CSK assertions, with refined expressiveness and both better precision and recall than prior works  ...  For high coverage, our method taps into the large-scale crawl C4 with broad web contents.  ...  In contrast, ASCENT++ extracts concept-centric knowledge explicitly mentioned in a large web corpus.  ... 
arXiv:2112.04596v2 fatcat:r45cpv4btvhmvfyntgdjwmzvc4

Unsupervised wrapper induction using linked data

Anna Lisa Gentile, Ziqi Zhang, Isabelle Augenstein, Fabio Ciravegna
2013 Proceedings of the seventh international conference on Knowledge capture - K-CAP '13  
The major contribution of this work is a study of how Linked Data -an imprecise, redundant and large-scale knowledge resourcecan be used to support Web scale Information Extraction in an effective and  ...  This work explores the usage of Linked Data for Web scale Information Extraction and shows encouraging results on the task of Wrapper Induction.  ...  Acknowledgments Part of this research has been sponsored by the EPSRC funded project LODIE: Linked Open Data for Information Extraction, EP/J019488/1  ... 
doi:10.1145/2479832.2479845 dblp:conf/kcap/GentileZAC13 fatcat:5mlk2oaixrdepbhfua3iojz47a

Semantic Search Meets the Web

Miriam Fernandez, Vanessa Lopez, Marta Sabou, Victoria Uren, David Vallet, Enrico Motta, Pablo Castells
2008 2008 IEEE International Conference on Semantic Computing  
well in specific domains, they still have to confront two main challenges to scale up to the Web in its entirety.  ...  In this work we address this issue with a novel semantic search system that a) provides the user with the capability to query Semantic Web information using natural language, by means of an ontology-based  ...  the use of a WN-based methodology evaluated in [10] .  ... 
doi:10.1109/icsc.2008.52 dblp:conf/semco/FernandezLSUVMC08 fatcat:pcrx5synpndvxhlvqodoocajge

OntoRich - A Support Tool for Semi-Automatic Ontology Enrichment and Evaluation [article]

Adrian Groza, Gabriel Barbur, Bogdan Blaga
2013 arXiv   pre-print
This paper presents the OntoRich framework, a support tool for semi-automatic ontology enrichment and evaluation.  ...  The enriched ontologies are evaluated against several qualitative metrics.  ...  The authors define the quality of a populated ontology based on a set of schema quality features and knowledge base quality feature (instance based).  ... 
arXiv:1304.5550v1 fatcat:n67hpvb6jbbrjavdhypno2nn3i

Contextual Ontology Module Learning from Web Snippets and Past User Queries [chapter]

Nesrine Ben Mustapha, Marie-Aude Aufaure, Hajer Baazaoui Zghal, Henda Ben Ghezala
2011 Lecture Notes in Computer Science  
In this paper, we focus on modularization aspects for query reformulation in ontology-based question answering on the Web.  ...  The proposal has been evaluated on the ground of semantic cotopy measure of discovered ontology modules, relevance of search results.  ...  In figure 2 , two ontologies are compared. One one hand, we use a Taxonomic Precision (TP ) which is a similarity measure based on the notion of semantic cotopy sc.  ... 
doi:10.1007/978-3-642-23863-5_55 fatcat:r2gshfr2vvaynnikl672dffqly

Culture-Aware Approaches to Modeling and Description of Intonation Using Multimodal Data [chapter]

Gopala Krishna Koduri
2015 Lecture Notes in Computer Science  
As part of this, we propose novel approaches to describe intonation in audio music recordings and to use and adapt the semantic web infrastructure to complement this with the knowledge extracted from text  ...  Over this multimodal knowledge base, we propose similarity measures for the discovery of musical entities, yielding a culturallysound navigation space.  ...  Open IE for Knowledge Base population: In the past decade, domain-independent approaches to information extraction have paved way for its web-scale applications.  ... 
doi:10.1007/978-3-319-17966-7_30 fatcat:jk5w2tfnsbbizmshuyuo5r5yge

Automated story capture from internet weblogs

Andrew S. Gordon, Qun Cao, Reid Swanson
2007 Proceedings of the 4th international conference on Knowledge capture - K-CAP '07  
We describe the large-scale application of story extraction technology to Internet weblogs, producing a corpus of stories with over a billion words.  ...  Millions of these stories appear in Internet weblogs, offering a potentially valuable resource for future knowledge management and training applications.  ...  By extrapolation, we can estimate that there are 23.8 billion words of story text available on the web for use in knowledge management and training applications.  ... 
doi:10.1145/1298406.1298437 dblp:conf/kcap/GordonCS07 fatcat:tqzvr7q6gnbdznm4oibjj2ooma
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