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Using Knowledge Base Semantics in Context-Aware Entity Linking

Cheikh Brahim El Vaigh, François Goasdoué, Guillaume Gravier, Pascale Sébillot
2019 Proceedings of the ACM Symposium on Document Engineering 2019 - DocEng '19  
Entity linking is a core task in textual document processing, which consists in identifying the entities of a knowledge base (KB) that are mentioned in a text.  ...  The few approaches that also use an RDF KB simply rely on the existence of a relation between the candidate entities to which mentions may be linked.  ...  ACKNOWLEDGMENTS This work was performed as part of the Inria-funded project lab Knowledge-mediated Content and Data Analytics -The case of data journalism (iCODA), in close collaboration with Ouest-France  ... 
doi:10.1145/3342558.3345393 dblp:conf/doceng/VaighGGS19 fatcat:rzsjihf2nras7ngudlo5vc2kli

Semantic Linking and Contextualization for Social Forensic Text Analysis

Zhaochun Ren, David van Dijk, David Graus, Nina van der Knaap, Hans Henseler, Maarten de Rijke
2013 2013 European Intelligence and Security Informatics Conference  
is used for semantically enriching information in a social media context.  ...  We first describe our approach for entity linking at the 2012 Text Analysis Conference Knowledge Base Population track and then introduce the personalized tweets summarization task, where entity linking  ...  In total, 32 baseline features are used in our work. 2) Context features: The context features make use of the semantic information encapsulated in the graph structure of the knowledge base: in this graph  ... 
doi:10.1109/eisic.2013.21 dblp:conf/eisic/RenDGKHR13 fatcat:sc7t47wjwzfibhx7ra3lrgtx54

Time-Aware Entity Linking

Renato Stoffalette João
2017 International Semantic Web Conference  
Entity Linking is the task of automatically identifying entity mentions in a piece of text and linking them to their corresponding entries in a reference knowledge base like Wikipedia.  ...  This thesis focuses on this problem and proposes a modeling that leverages time-aware prior probabilities and word embeddings in the entity linking task.  ...  Other authors have tried to solve entity linking problems using different techniques and also link to entities derived from other knowledge bases or semantic networks.  ... 
dblp:conf/semweb/Joao17 fatcat:dyvuvzqupraxtgyn2typylataa

KiCM: A knowledge-intensive context model

Dennis Lupiana, Fredrick Mtenzi
2016 2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)  
It is through a context model that knowledge about the real world can be represented in and reasoned by a context-aware architecture. This paper presents a Knowledge-intensive Context Model (KiCM).  ...  A context model plays a significant role in developing context-aware architectures and consequently on realizing context-awareness, which is important in today's dynamic computing environments.  ...  Hence, these models are semantically poor and incapable of supporting knowledge reasoning. In contrast, ontology-based models are semantically rich.  ... 
doi:10.1109/icitst.2016.7856701 dblp:conf/icitst/LupianaM16 fatcat:2cf2obbtdbehpnl4kjmidiuidm

Question Answering over Pattern-Based User Models

Georgios Meditskos, Stamatia Dasiopoulou, Stefanos Vrochidis, Leo Wanner, Ioannis Kompatsiaris
2016 Proceedings of the 12th International Conference on Semantic Systems - SEMANTiCS 2016  
We describe the coupling of a frame-based formalisation of natural language user utterances with a context-aware query interpretation towards question answering over pattern-based RDF knowledge bases.  ...  This is mainly due to the encapsulation of domain semantics inside conceptual layers of abstraction (e.g. using reification or container classes) that demand flexible, context-aware approaches for query  ...  ACKNOWLEDGEMENTS This work has been partially supported by the H2020-645012 project "KRISTINA: A Knowledge-Based Information Agent with Social Competence and Human Interaction Capabilities".  ... 
doi:10.1145/2993318.2993331 dblp:conf/i-semantics/MeditskosDVWK16 fatcat:xtu2epshebcvrfe6x2i4w5iyra

ActionRec: Towards Action-Aware Recommender Systems on the Web

Fouad Zablith
2021 International Semantic Web Conference  
This work proposes the ActionRec framework, to semantically annotate the actions expressed by buyers in product reviews, and to capture the actions' linked entities in an openly accessible knowledge graph  ...  , which is used to develop action-aware recommendation apps.  ...  We propose ActionRec, a recommender system framework shown in Figure 1 , to (1) capture the action-related entities in product text reviews through a semantic annotator ; (2) represent and link the entities  ... 
dblp:conf/semweb/Zablith21 fatcat:nwhnwcakbjevhepnppc6ffetp4

Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation [chapter]

Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis
2014 Lecture Notes in Computer Science  
This article presents Contextual eVSM (C-eVSM), a content-based context-aware recommendation framework that adopts a novel semantic representation based on distributional models and entity linking techniques  ...  Our strategy is based on two insights: first, entity linking can identify the most relevant concepts mentioned in the text and can easily map them with structured information sources, easily triggering  ...  This work fullfils the research objectives of the projects PON 01 00850 ASK-Health (Advanced System for the interpretation and sharing of knowledge in health care) and PON 02 00563 3470993 project "VINCENTE  ... 
doi:10.1007/978-3-319-08786-3_34 fatcat:jgbvdmojw5gqtlroooigpg4wim

Discovering attribute and entity synonyms for knowledge integration and semantic web search

Hamid Mousavi, Shi Gao, Carlo Zaniolo
2013 Proceedings of the 3rd International Workshop on Semantic Search Over the Web - SS@ '13  
in the current knowledge bases (KBs).  ...  In this paper, we propose the Context-aware Synonym Suggestion System (CS 3 ) which learns synonyms from text by using our NLPbased text mining framework, called SemScape, and also from existing evidence  ...  PM contains context-aware potential matches between semantic links in the TextGraphs and attribute names in current InfoBox items.  ... 
doi:10.1145/2509908.2509912 dblp:conf/vldb/MousaviGZ13 fatcat:kngstheojvcudhk6q2ievwxhdq

Extracting Entity Synonymous Relations Via Context-Aware Permutation Invariance

2022 International Journal of Information Technology and Web Engineering  
In this paper, an entity synonymous relation extraction approach is proposed using context-aware permutation invariance.  ...  Existing entity synonymous relation extraction approaches are mainly based on lexical patterns or distributional corpus-level statistics, ignoring the context semantics between entities.  ...  First, entity mentions are discovered in plain text corpora. Second, based on an existing knowledge base, the discovered entity mentions are mapped to the entities involved in the knowledge base.  ... 
doi:10.4018/ijitwe.288039 fatcat:owkn72ddxvbctas3m4gcxhyhyi

Chapter 8 Context-Based Entity Matching for Big Data [chapter]

Mayesha Tasnim, Diego Collarana, Damien Graux, Maria-Esther Vidal
2020 Lecture Notes in Computer Science  
COMET follows a two-fold approach to solve the problem of entity matching in RDF graphs in a context-aware manner.  ...  We devise COMET, an entity matching technique that relies on both the knowledge stated in RDF vocabularies and a context-based similarity metric to map contextually equivalent RDF graphs.  ...  In the next chapter, we take a look at another use case of context-aware entity matching: the temporal summarization of knowledge graph entities.  ... 
doi:10.1007/978-3-030-53199-7_8 fatcat:b2bjn3hpdfb4jklkh7kvr6jmcq

Knowledge graph matching with inter-service information transfer

Semih Yumusak
2020 International Semantic Web Conference  
Knowledge graph matching is an approach to create entity mappings of structured data with linked data sources.  ...  As an automated approach, this paper explains a sparql query based matching engine developed during the Columns-Property Annotation (CPA) Challenge under ISWC 2020 SemTab challenge (Semantic Web Challenge  ...  As a context-aware knowl-Fig. 3 . Matching process for TeamTR Round 3 Solution edge base, search engines were used to correct the misspelled phrases with their correct replacements in process 5.  ... 
dblp:conf/semweb/Yumusak20 fatcat:4r6bnyclz5cldl52vbstpwys7i

Context Modeling for Context-Aware Systems

Dennis Lupiana
2017 International Journal of Intelligent Computing Research  
Through this knowledge, and its sensing and reasoning capabilities, a context-aware architecture is able to determine what is going on in the environment and share this knowledge with context-aware systems  ...  A context model, which is a product of context modeling, provides a systematic way of identifying and representing knowledge about users' environment in context-aware architecture.  ...  KiCM is used to represent knowledge about contexts in a context-aware architecture.  ... 
doi:10.20533/ijicr.2042.4655.2017.0099 fatcat:vypojtkryjeclaa3jzjfikqayi

Applying Semantic Web Technology in a Mobile Setting: The Person Matcher [chapter]

William Van Woensel, Sven Casteleyn, Olga De Troyer
2010 Lecture Notes in Computer Science  
The application illustrates the use of intrinsic mobile features, such as context-and environmentawareness, and combines them with the use of Semantic Web technologies to integrate and tailor knowledge  ...  In a mobile setting, users use, handle and search for online information in a different way. Two features typically desired by mobile users are tailored information delivery and context awareness.  ...  It supports different sensing technologies to become aware of the surrounding environment, and is primarily based on Web technologies for communication and data delivery, and Semantic Web technologies  ... 
doi:10.1007/978-3-642-13911-6_39 fatcat:kjoix6kzyvep3i2r3eqkoy5zeu

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.  ...  DBrec system [11] uses a linked-data based semantic distance to relate musical entities, based on the link structure of the music-related resources on DBpedia, resulting in explanatory recommendations  ... 
doi:10.1007/978-3-319-17966-7_30 fatcat:jk5w2tfnsbbizmshuyuo5r5yge

A Generic Coordination Model for Pervasive Computing Based on Semantic Web Languages [chapter]

Amine Tafat, Michele Courant, Beat Hirsbrunner
2004 Lecture Notes in Computer Science  
Human interaction occurs always in a specific context and in a particular environment, and a common knowledge base about them is essential for understanding each other.  ...  While the abstract concepts of XCM deal with environmental representation and context-dependency, the use of the semantic web language OWL allows us to achieve knowledge sharing and context reasoning within  ...  These systems use ad hoc representations of context knowledge, while GAIA [13] , Cobra [14] and Semantic Gadgets [3] , explore the use of ontology to represent context knowledge.  ... 
doi:10.1007/978-3-540-27779-8_23 fatcat:h2k667br65fwfmr2dthtcobmuy
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