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Using Knowledge Base Semantics in Context-Aware Entity Linking
2019
Proceedings of the ACM Symposium on Document Engineering 2019 - DocEng '19
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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
2013
2013 European Intelligence and Security Informatics Conference
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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
2017
International Semantic Web Conference
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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
2016
2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)
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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
2016
Proceedings of the 12th International Conference on Semantic Systems - SEMANTiCS 2016
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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
2021
International Semantic Web Conference
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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]
2014
Lecture Notes in Computer Science
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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
2013
Proceedings of the 3rd International Workshop on Semantic Search Over the Web - SS@ '13
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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
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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]
2020
Lecture Notes in Computer Science
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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
2020
International Semantic Web Conference
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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
2017
International Journal of Intelligent Computing Research
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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]
2010
Lecture Notes in Computer Science
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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]
2015
Lecture Notes in Computer Science
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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]
2004
Lecture Notes in Computer Science
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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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