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Conceptual Knowledge Acquisition Using Automatically Generated Large-Scale Semantic Networks
[chapter]
2010
Lecture Notes in Computer Science
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We present a method for automatically creating large-scale semantic networks from natural language text, based on deep semantic analysis. ...
We provide a robust and scalable implementation, and sketch various ways in which the representation may be deployed for conceptual knowledge acquisition. ...
Developments for Conceptual Knowledge Acquisition We build semantic networks for conceptual knowledge acquisition using the AskNet approach. ...
doi:10.1007/978-3-642-14197-3_23
fatcat:h7cndbem3jcl3cjgqv3ib7t7jy
Semantic Networks for Engineering Design: A Survey
[article]
2020
arXiv
pre-print
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There have been growing uses of semantic networks in the past decade, such as leveraging large-scale pre-trained graph knowledge databases for various natural language processing (NLP) tasks in engineering ...
Meanwhile, there are emerging efforts to mine large scale technical publication and patent databases to construct engineering-contextualized semantic network databases, e.g., B-Link and TechNet, to support ...
The public pre-trained large-scale technology semantic networks, e.g. ...
arXiv:2012.07060v1
fatcat:75wj7nmyhjharbwmqko42l6vri
SEMANTIC NETWORKS FOR ENGINEERING DESIGN: A SURVEY
2021
Proceedings of the Design Society
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AbstractThere have been growing uses of semantic networks in the past decade, such as leveraging large-scale pre-trained graph knowledge databases for various natural language processing (NLP) tasks in ...
Meanwhile, there are emerging efforts to mine large scale technical publication and patent databases to construct engineering-contextualized semantic network databases, e.g., B-Link and TechNet, to support ...
use of comprehensive large-scale semantic networks of technological knowledge, such as B-Link (Shi et al., 2017) and TechNet (Sarica et al., 2020) , in engineering design ...
doi:10.1017/pds.2021.523
fatcat:np2v374bdjcvnkx67qgtnygmlq
Conceptual dissonance: evaluating the efficacy of natural language processing techniques for validating translational knowledge constructs
2009
Summit on translational bioinformatics
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The conduct of large-scale translational studies presents significant challenges related to the storage, management and analysis of integrative data sets. ...
towards the high-throughput generation and evaluation of knowledge-anchored relationships between complex bio-molecular and phenotypic variables. ...
utilize UMLS Semantic Network relationship types assigned automatically by the SemRep service. ...
pmid:21347178
pmcid:PMC3041552
fatcat:mp7jaxdhxbfmtcdozu5ldvylim
A Methodology for Large-Scale, Disambiguated and Unbiased Lexical Knowledge Acquisition Based on Multilingual Word Alignment
2021
Italian Conference on Computational Linguistics
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However, state-ofthe-art knowledge models rarely adopt such a comprehensive and cross-lingual approach to semantics. ...
In this paper, we propose a novel automatable methodology for knowledge modeling based on a multilingual word alignment mechanism that enhances the encoding of unbiased and naturally disambiguated lexical ...
CSK describes the kind of general knowledge material that humans use to define, differentiate and reason about the conceptualizations they have in mind . ...
dblp:conf/clic-it/GrassoC21
fatcat:pyisgjjg5bfcng267wkuqdij3q
Semantic Adaptation of Knowledge Representation Systems
[chapter]
2013
IFIP Advances in Information and Communication Technology
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This paper's presents a PhD research with the objective to identify a suitable approach that combines semantic mappings with user's feedback, providing an automatic learning to ontologies & enabling autoadaptability ...
To solve this problem, a possible solution is to use a reference ontology to be the intermediary in the communications between the community enterprises and to outside. ...
Compared with manually crafting ontologies, ontology learning is able to not only discover ontological knowledge at a large scale and faster pace, but also mitigate human-introduced biases and inconsistencies ...
doi:10.1007/978-3-642-37291-9_10
fatcat:3b64nukazbalddwabwcir33eea
A Framework for Semantic Enrichment of Sensor Data
2012
Journal of Computing and Information Technology
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We propose a framework for automatizing the process of semantically enriching sensor descriptions and measurements with the purpose of improving the usability and accessibility of sensor data. ...
In order to raise the impact that sensor networks can have, improving the usability and accessibility of the measurements they provide is an important step. ...
These types of reasoners are useful in large sensor networks, where a centralized system will not perform well any more. ...
doi:10.2498/cit.1002093
fatcat:ic445yyhura7tgd44otizjlv4a
Cognitive network science for understanding online social cognitions: A brief review
[article]
2021
arXiv
pre-print
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events with contextual knowledge unavailable to machine learning, (ii) investigating conceptual salience/prominence through knowledge structure in social discourse; (iii) studying users' personality traits ...
This work outlines how cognitive network science can open new, quantitative ways for understanding cognition through online media, like: (i) reconstructing how users semantically and emotionally frame ...
structure can be used for achieving models explaining semantic salience in terms of large-scale conceptual associations, can networks and social media data assist also with the study of perception? ...
arXiv:2102.12799v1
fatcat:rcfb7juxwvhttm4ql5ehr2bx4u
Building a Large-Scale Knowledge Base for Machine Translation
[article]
1994
arXiv
pre-print
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The ontology was constructed by merging various online dictionaries, semantic networks, and bilingual resources, through semi-automatic methods. ...
., conceptual matching of semantic taxonomies) are broadly applicable to problems of importing/exporting knowledge from one KB to another. ...
Another key component is the PANGLOSS ontology, a large-scale conceptual network for supporting semantic processing in other PANGLOSS modules. ...
arXiv:cmp-lg/9407029v1
fatcat:teqbsm2esrevzckfomvdkgitre
Towards symbiosis in knowledge representation and natural language processing for structuring clinical practice guidelines
2014
Studies in Health Technology and Informatics
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However, it is laborious to develop NLP to structure free-text CPGs using existing formal knowledge representations (KR). ...
In response to this challenge, this vision paper discusses the value and feasibility of supporting symbiosis in text-based knowledge acquisition (KA) and KR. ...
conceptual knowledge resources such as UMLS; (2) identify the semantic patterns in text using a dependency parser; and (3) semi-automatically construct a KR based on merged semantic patterns. ...
pmid:24943582
pmcid:PMC4445724
fatcat:niaymecnlzepldlyfmzjnj7s24
Supporting Software Language Engineering by Automated Domain Knowledge Acquisition
[chapter]
2012
Lecture Notes in Computer Science
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We show how the acquired knowledge is used to guide language engineers and how knowledge acquisition is adapted according to modeling decisions. ...
This research work proposes automated knowledge acquisition to support language engineers in early language development phases. ...
The field of knowledge harvesting [30] aims at automatically creating large scale knowledge bases by extracting facts from semistructured and unstructured natural language text. ...
doi:10.1007/978-3-642-29645-1_2
fatcat:fgxlpxqm4zcsvpobvllx2xenvi
Automatically structuring domain knowledge from text: An overview of current research
2012
Information Processing & Management
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This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. ...
In the last couple of decades they have surfaced noticeably as a useful tool within natural language processing, information retrieval and semantic web technology. ...
); WikiNet, a large scale multilingual concept network (Nastase et al. [2010] ); and BabelNet (Navigli and Ponzetto [2010] ), a large scale multilingual semantic network. ...
doi:10.1016/j.ipm.2011.07.002
fatcat:qmtwq3lqubf2dmulehnsey4cmm
Information retrieval with semantic memory model
2012
Cognitive Systems Research
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These theories are used here as an inspiration for implementing a computational model of semantic memory in the form of semantic network. ...
Several similarity measures have been used to compare the completeness of knowledge retrieved automatically and corrected through active dialogs to a "golden standard". ...
It implies building a very large scale semantic network which is still a great challenge. ...
doi:10.1016/j.cogsys.2011.02.002
fatcat:nr2vdic72rgi5fahfmrlf6qahe
Beyond the Benchmarks: Toward Human-Like Lexical Representations
2022
Frontiers in Artificial Intelligence
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in crosslinguistically valid conceptualization. ...
In this article, we concentrate on word-level semantics. ...
Today, the same marvel of very large scale language models that is having such a positive effect on our ability to generate useful applications with relatively simple fine-tuning, has the negative effect ...
doi:10.3389/frai.2022.796741
pmid:35685444
pmcid:PMC9170951
fatcat:n5ry6bpr6rghjldc4w4lkkrdba
A Dynamic Network Approach to the Study of Syntax
2020
Frontiers in Psychology
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These associations are shaped by domain-general processes that can give rise to new structures and meanings in language acquisition and language change. ...
Usage-based linguists and psychologists have produced a large body of empirical results suggesting that linguistic structure is derived from language use. ...
Since automatization is driven by frequency of language use, the strengthening effect of automatization varies on a scale (though this scale may not be linear). ...
doi:10.3389/fpsyg.2020.604853
pmid:33329277
pmcid:PMC7732467
fatcat:wvsekbgu6rfy5o2qoauwu4ziye
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