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Creation and interaction with large-scale domain-specific knowledge bases

S. Bharadwaj, M. Hernández, H. Ho, P. Jain, S. Joshi, H. Karanam, S. Krishnan, R. Krishnamurthy, Y. Li, S. Manivannan, A. Mittal, L. Chiticariu (+18 others)
2017 Proceedings of the VLDB Endowment  
The ability to create and interact with large-scale domainspecific knowledge bases from unstructured/semi-structured data is the foundation for many industry-focused cognitive systems.  ...  We will also demonstrate both cross-lingual natural language queries and programmatic API calls for interacting with this knowledge base.  ...  We will use the constructing and interacting with a KB in the financial domain as a representative use case to illustrate the inherent challenges related to domain-specific KBs.  ... 
doi:10.14778/3137765.3137820 fatcat:yezffntuvrhjjmnke4j6yazxju

Scientific Modeling Using Large Scale Knowledge [chapter]

Sungeun An, Robert Bates, Jen Hammock, Spencer Rugaber, Emily Weigel, Ashok Goel
2020 Lecture Notes in Computer Science  
The intelligent research assistant, VERA, supports inquirybased modeling by supplying contextualized large-scale domain knowledge in the Encyclopedia of Life.  ...  A study on the use of VERA by college-level students indicates that providing access to large scale but contextualized knowledge helped students build more complex models and generate more hypotheses in  ...  and Georgia Tech seed grants through the Brooke Byers Institute for Sustainable Systems.  ... 
doi:10.1007/978-3-030-52240-7_4 fatcat:oyli46qr6vgbdpznvyxme5ucry

OpenBioLink: A benchmarking framework for large-scale biomedical link prediction [article]

Anna Breit, Simon Ott, Asan Agibetov, Matthias Samwald
2020 arXiv   pre-print
With OpenBioLink, we introduce a large-scale, high-quality and highly challenging biomedical link prediction benchmark to transparently and reproducibly evaluate such algorithms.  ...  SUMMARY: Recently, novel machine-learning algorithms have shown potential for predicting undiscovered links in biomedical knowledge networks.  ...  Instead of capturing primarily knowledge networks (FB15K) or hierarchical taxonomies (WN18, UMLS), biomedical knowledge bases often combine richly structured ontological hierarchies with large interaction  ... 
arXiv:1912.04616v2 fatcat:rm374omamnbf3cwnodnlmkk5cm

Knowledge-Intensive Business Services (KIBS) as drivers of multilevel knowledge dynamics

Simone Strambach
2008 International Journal of Services Technology and Management  
By the application of different knowledge dimensions such as types of knowledge bases and domains mainly used to examine knowledge processes and innovation in industrial sectors, the specificities of KIBS  ...  It focuses on the knowledge dimension and uses evolutionary and organisation-based knowledge approaches to show that KIBS can be identified as drivers of knowledge dynamics in multilevel contexts.  ...  large firms that result from knowledge interaction with KIBS.  ... 
doi:10.1504/ijstm.2008.022117 fatcat:a34fwc6surhtzhlk2yxzz6yely

The world of geography: Visualizing a knowledge domain with cartographic means

A. Skupin
2004 Proceedings of the National Academy of Sciences of the United States of America  
From an informed critique of existing methods to the development of original tools, cartographic engagement can provide a unique perspective on knowledge domain visualization.  ...  Along with a discussion of some principles underlying a cartographically informed visualization methodology, results of experiments involving several thousand conference abstracts will be sketched and  ...  For a large number of clusters (i.e., at a local scale), labels will correspond to much more specific areas of investigation in the geographic knowledge domain, e.g., ''snowfall'' or ''redevelopment.''  ... 
doi:10.1073/pnas.0307654100 pmid:14764896 pmcid:PMC387307 fatcat:2a53wqku3zhsrim76d5ho6rirq

Guest editorial: large-scale data curation and metadata management

Mohamed Eltabakh, Boris Glavic
2018 Distributed and parallel databases  
While this is not the first approach for reconstructing provenance based on limited knowledge about interactions, it stands out by providing an efficient solution that scales to large datasets.  ...  Ontologies have become a popular means of knowledge sharing and reuse within a single domain or across different domains.  ... 
doi:10.1007/s10619-017-7217-x fatcat:4i2cs625yfcgnfrvuqmmy7zm5u

A Knowledge Management Framework to Support Online Communities Creation [chapter]

Catarina Lucena, João Sarraipa, Ricardo Jardim-Goncalves
2014 IFIP Advances in Information and Communication Technology  
Its main objective is to build a community knowledge base from cyclical conversion of individual to organizational knowledge representations creation, and consequently, to allow specific reasoning and  ...  They use various tools to create and share information with others, namely: blogs; forum; photo & video sharing and social networking sites.  ...  The ALTER-NATIVA Knowledge Base is able to support on the suggestion of users to interact with, based on common interests and levels of expertise potentiating communities' creation.  ... 
doi:10.1007/978-3-642-54734-8_4 fatcat:imnjyvnv5ndhpjopy2vvy7jnrm

A Semantically Adaptable Integrated Visualization and Natural Exploration of Multi-scale Biomedical Data

Ricardo Manuel Millan Vaquero, Asan Agibetov, Jan Rzepecki, Marta Ondresik, Alexander Vais, Joaquim Miguel Oliveira, Giuseppe Patane, Karl-Ingo Friese, Rui Luis Reis, Michela Spagnuolo, Franz-Erich Wolter
2015 2015 19th International Conference on Information Visualisation  
In this work, we combine efforts regarding multi-scale visualization, multimodal interaction and knowledge formalization for the exploration of multi-scale biomedical data.  ...  The knowledge formalization stores and organizes the information sources, the integrated visualization captures all relevant information for the domain expertise of the user and the multimodal interaction  ...  repository and the knowledge base.  ... 
doi:10.1109/iv.2015.96 dblp:conf/iv/VaqueroAROVOPFR15 fatcat:ewhopedsjrejpgwy5ku3xhdpfi

A Data-engineering Pipeline for Deep Learning in Structural Bioinformatics

Eli J Draizen, Cameron Mura, Bourne E Philip
2020 Zenodo  
A significant & recurring challenge concerns the creation of large, high-quality, openly accessible, and reproducible datasets that can be used for specific training/benchmarking tasks, e.g. in predictive  ...  tematically and reproducibly create comprehensive, superfamily-level domain databases for deep learning tasks (e.g., for structure classification & predicting domain interactions).  ...  Conclusion We created a structural bioinformatics toolkit to perform large-scale, reproducible analyses of thousands of structures simultaneously that runs on any cloud resource or HPC Using the workflows  ... 
doi:10.5281/zenodo.3914448 fatcat:nk3km5lpbndkxgucoq4qmsrppy

Using Formal Ontology for Integrated Spatial Data Mining [chapter]

Sungsoon Hwang
2004 Lecture Notes in Computer Science  
In contrast to the prevalent research efforts of developing new algorithms, there has been a lack of effort to re-use existing algorithms for varying domain and task.  ...  The case study demonstrated that formal ontology enabled algorithms to reflect concepts implicit in domain, and to adapt to users' view, not to mention unburdened efforts to develop new algorithms repetitively  ...  A certain class requires the interaction with domain ontologies (also known as interaction problem).  ... 
doi:10.1007/978-3-540-24709-8_108 fatcat:eumile5tlncdfoas5fv2rabwhm

Utilizing the Amenities of Unstructured Peer to Peer Framework in Extraction of Large Scale Data Clusters

A. R. Arunachalam
2015 Indian Journal of Science and Technology  
This paper aims to utilize the amenities of a peer to peer framework in extraction and management of large scale data clusters.  ...  Historical data are commonly used in large scale industry for efficient manipulation and retrieval of datasets. Managing a historical data in multidimensional data cubes is a complicated process.  ...  Domain Driven Data mining (d3m) proved to be an emerging concept in managing large scale industry specific data.  ... 
doi:10.17485/ijst/2015/v8i32/87597 fatcat:qlvvtfe2xjasfpgindsecfkmde

ICIS 2007 Panel Report: Bridging Service Computing and Service Management: How MIS Contributes to Service Orientation

J. L. Zhao, Cheng Hsu, Hemant K. Jain, Jim C. Spohrer, Mohan Tanniru, Harry J. Wang
2008 Communications of the Association for Information Systems  
As a result, many new and interesting research questions arise in this area, spanning technical, organizational, and economic issues.  ...  Then, a joint perspective on bridging service computing and service management is presented.  ...  and facilitating the panel.  ... 
doi:10.17705/1cais.02222 fatcat:5vptxv3pabg5tm3n5xczqmlxpy

Development and Deployment of a Large-Scale Dialog-based Intelligent Tutoring System

Shazia Afzal, Tejas Dhamecha, Nirmal Mukhi, Renuka Sindhgatta, Smit Marvaniya, Matthew Ventura, Jessica Yarbro
2019 Proceedings of the 2019 Conference of the North  
These issues are magnified when implementing such a system at scale and across domains.  ...  There are significant challenges involved in the design and implementation of a dialogbased tutoring system (DBT) ranging from domain engineering to natural language classification and eventually instantiating  ...  In this paper we have described the design and iterative development of Watson dialog-based tutor -a large-scale DBT that is optimized to scale across domain/subjects as well as usage.  ... 
doi:10.18653/v1/n19-2015 dblp:conf/naacl/AfzalDMSMVY19 fatcat:sfr6ysri3zbqvf7eawlb4slh3y

Human Language Technology and Knowledge Management

Mark T. Maybury
2002 The AI Magazine  
Uszkoreit's talk was entitled "Crosslingual Language Technologies for Knowledge Creation and Knowledge Sharing."  ...  adaptation-integration of semantic resources; the complexity of dealing with one-to-one translation of even the 200 most spoken-written languages (requiring 39,000 language pairs); the need for large-scale  ...  MasterCard and VISA accepted. Intelligent Systems for Molecular Biology  ... 
doi:10.1609/aimag.v23i2.1646 dblp:journals/aim/Maybury02 fatcat:eywundoga5axjikk2q3unrosde

Ecological Semantics: Programming Environments for Situated Language Understanding [article]

Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty
2020 arXiv   pre-print
, as well as large-scale, offline common-sense knowledge mining.  ...  domains.  ...  ACKNOWLEDGMENTS We thank the Hyadata Lab at HUJI, and Yoav Goldberg, Ido Dagan, and the audience of the BIU-NLP seminar for interesting discussion and thoughtful remarks.  ... 
arXiv:2003.04567v2 fatcat:p7ni2tbhmzdpfieh7jty7qn274
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