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Semantic Content Access Using Domain-Independent NLP Ontologies
[chapter]
2010
Lecture Notes in Computer Science
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Our approach is domain-independent and relies on existing NLP analysis tasks such as automatic multi-document summarization, clustering, question-answering, and opinion mining. ...
This allows us to bring the result of existing text mining pipelines directly to end users. ...
Ting Tang contributed to the OWL NLP ontology and its population GATE component. ...
doi:10.1007/978-3-642-13881-2_4
fatcat:fvd7qq3nznbovn2dlg6z3cewr4
A Semantic Portal for the International Affairs Sector
[chapter]
2004
Lecture Notes in Computer Science
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We describe an approach, tools and techniques that allow building a semantic portal, where access is based on the meaning of concepts and relations of the International Affairs domain. ...
The online content can be accessed by navigating through categories or by a keyword-based, full text search engine. The work described in this paper aims at improving access to the content. ...
A Semantic Portal for International Relations A semantic portal provides semantic access (as opposed to keyword-based access) to content. ...
doi:10.1007/978-3-540-30202-5_14
fatcat:q7gitr6btvf7ngwjwjyngh6bpe
Integrating Wiki Systems, Natural Language Processing, and Semantic Technologies for Cultural Heritage Data Management
[chapter]
2011
Language Technology for Cultural Heritage
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Additionally, all content is made accessible in a user-friendly Wiki interface, combining original text with NLP-derived metadata and adding annotation capabilities for collaborative use. ...
Using techniques from natural language processing and Semantic Computing, we automatically populate an ontology. ...
Qiangqiang Li contributed to the ontology population pipeline. Thomas Gitzinger contributed to the index generation. ...
doi:10.1007/978-3-642-20227-8_12
dblp:series/tanlp/WitteKKL11
fatcat:bmppdztz5ve7xlbm54bhk3nemi
Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction
2016
Journal of Biomedical Semantics
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Conclusion: Knowledge Author can support clinical domain content development for information extraction by supporting semantic schema creation by domain experts. ...
free-text radiology reports using Knowledge Author and an NLP system, pyConText. ...
Ontologies NLP tools designed to support information extraction routinely use the Web Ontology Language (OWL) to provide a structured way to represent domain content [18] [19] [20] [21] . ...
doi:10.1186/s13326-016-0086-9
pmid:27338146
pmcid:PMC4919842
fatcat:zq6h2n6rdzgitgc7ib75nxen6u
Natural language processing for MediaWiki
2012
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration - WikiSym '12
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The vision is that of a new generation of wikis that can help developing their own primary content and organize their structure by using state-of-the-art technologies from the NLP and Semantic Computing ...
domains. ...
This means that, the more wikis are used in various domains, the more NLP services are demanded. Using this architecture, wikis can access NLP techniques that are beneficial to their content. ...
doi:10.1145/2462932.2462946
dblp:conf/wikis/SateliW12
fatcat:7b332zl2prfh7obw7uhfgwmn3i
ONTOPRIMA: A Prototype for Automating Ontology Population
2017
International journal of Web & Semantic Technology
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The prototype is based on Natural Language Processing (NLP) techniques for language processing, semantic web techniques (RDFS, RDF, Jena APIs) for knowledge modeling and representation and on domain expert's ...
Furthermore, this paper presents an experiment for populating the ontology of the PRIMA project using a text corpus which is consist of chemical fact sheets issued by the U.S. ...
3 . • Ontology Handler • Instances Recognition Rules • Morphosyntactic & Semantic Analyzer • Instance Extractor
Ontology Handler The ontology handler component manages the access to ontology using ...
doi:10.5121/ijwest.2017.8401
fatcat:4vhv5lcsqndrvbwqfr2etqq6sy
Converting a Historical Architecture Encyclopedia into a Semantic Knowledge Base
2010
IEEE Intelligent Systems
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Digitizing a historical document using ontologies and natural language processing techniques can transform it from arcane text to a useful knowledge base. ...
Qiangqiang Li contributed to the ontology population pipeline. Thomas Gitzinger contributed to the index generation. ...
Although our approach to heritage document management itself is domain independent, it relies on the knowledge encoded in the domain ontology. ...
doi:10.1109/mis.2010.17
fatcat:fdn76nh6cvb4zel7q4j7kllgtm
Semantically-enhanced information extraction
2011
2011 Aerospace Conference
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Within this semantic environment, extractions are woven into the contextual fabric of a userprovided, domain-centric ontology where users together with user-provided logic can analyze these extractions ...
Information Extraction using Natural Language Processing (NLP) produces entities along with some of the relationships that may exist among them. ...
objects. (3) Semantic model service to provide ontology access and manipulation functionality. ...
doi:10.1109/aero.2011.5747547
fatcat:bgmnkonxgnaj3awh4avm5md5du
The ReqWiki Approach for Collaborative Software Requirements Engineering with Integrated Text Analysis Support
2013
2013 IEEE 37th Annual Computer Software and Applications Conference
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We present ReqWiki, a novel open source web-based approach based on a semantic wiki that includes natural language processing (NLP) assistants, which work collaboratively with humans on the requirements ...
Our user studies prove that (i) software engineers unfamiliar with NLP can easily leverage these assistants and (ii) semantic assistants can help to significantly improve the quality of requirements specifications ...
Fig. 2 . 2 The ReqWiki ontology modeling the domain of Software Requirements Specifications (SRS)
Fig. 3 . 3 The ReqWiki main user interface, integrating textual content, semantic knowledge, and access ...
doi:10.1109/compsac.2013.68
dblp:conf/compsac/SateliAW13
fatcat:6b4sz7iqmzb43oojdsr7wqp7im
Enhanced semantic access to the protein engineering literature using ontologies populated by text mining
2007
International Journal of Bioinformatics Research and Applications
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In this paradigm, an OWL-DL ontology becomes populated with instances detected through natural language processing (NLP). ...
The generated ontology can be queried by biologists using DL reasoners or integrated into bioinformatics workflows for further automated analyses. ...
Acknowledgements The authors would like to thank Vladislav Ryzhikov for his contributions to the Mutation Miner NLP subsystem. ...
doi:10.1504/ijbra.2007.015009
pmid:18048198
fatcat:u5ht7swye5bd3kx5nwrljw2cjq
Semantic Search based on Ontology Alignment for Information Retrieval
2014
International Journal of Computer Applications
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General Terms Semantic search, Ontology, Natural Language Processing (NLP) Keywords Domain based ontology, Ontology alignment, OWL, RDF, SPARQL, Triple store E-governance citizens and schemes ontology ...
Also, in semantic search, user has to enter query in formal query language SPARQL, which is quite difficult to learn and use for laymen. ...
ACKNOWLEDGEMENTS We wish to thank Insurance Information Bureau of India (IIB), for allowing us to use the health insurance statistics data at https://iib.gov.in/IRDA/homePageAction.do? ...
doi:10.5120/18789-0125
fatcat:bpf4whldmrdrvptwoej5a6kve4
Using semantics for representing experimental protocols
2017
Journal of Biomedical Semantics
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Both SIRO and the SP ontology are then used by our NLP engine, GATE. ...
On the other hand, it builds the groundwork for making use of such semantics within an NLP framework. ...
We thank to Edna Ruckhaus for her useful discussions. ...
doi:10.1186/s13326-017-0160-y
pmid:29132408
pmcid:PMC5683383
fatcat:a6ghxhrzgfgmfh35kziugpedkm
Towards NLP-supported Semantic Data Management
[article]
2020
arXiv
pre-print
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We will use state of the art NLP technologies to identify concepts within textual descriptions and build semantic models from this in combination with an evolving ontology. ...
Finally, we will use the created ontology and automatically identified semantic models to either rate descriptions for new data sources or even to automatically generate descriptive texts that are easier ...
that can each be used by one application, but which are otherwise independent of each other and that hardly enable any unified data access. ...
arXiv:2005.06916v1
fatcat:ts2byn42x5dntjthhmye52x5za
KIM – Semantic Annotation Platform
[chapter]
2003
Lecture Notes in Computer Science
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From technical point of view, the platform allows KIM-based applications to use it for automatic semantic annotation, content retrieval based on semantic restrictions, and querying and modifying the underlying ...
The ontologies and knowledge bases involved are handled using cutting edge Semantic Web technology and standards, including RDF(S) repositories, ontology middleware and reasoning. ...
KIM Ontology The rationale behind the KIM Ontology (KIMO) is to provide a minimal but sufficient ontology suitable for open-domain general purpose semantic annotations. ...
doi:10.1007/978-3-540-39718-2_53
fatcat:e2hhb7kizjeydlewyocdcy6siq
Linguistic Approach to Semantic Correlation Rules
2021
SHS Web of Conferences
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Some NLP methods do not go far beyond a retrieving of the indexation of content. Therefore, indexation is considered as a very simple linguistic approach. ...
Semantic correlation rules offer the possibility to retrieve easy semantic relations without a special tool by using a set of predefined rules. ...
to the Faculty of Information Management and Media for the opportunity to be part of ETLTC conference and Katharina and Johannes Munk from klarso GmbH for the continuous technical support and system access ...
doi:10.1051/shsconf/202110202004
fatcat:jfbjsbftw5htxfdmgf26pml6re
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