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Fact Discovery from Knowledge Base via Facet Decomposition [article]

Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam
2019 arXiv   pre-print
This assumption is too restricted in practice and prevents it from discovering new facts directly. To address this issue, we propose a new task, namely, fact discovery from knowledge base.  ...  During the past few decades, knowledge bases (KBs) have experienced rapid growth. Nevertheless, most KBs still suffer from serious incompletion.  ...  We name the task as Fact Discovery from Knowledge Base (FDKB). Some existing methods such as knowledge base representation (KBR) can be applied to tackle the FDKB task with simple modifications.  ... 
arXiv:1904.09540v1 fatcat:snsq4tqsx5a7rf5lmacvajxboe

Fact Discovery from Knowledge Base via Facet Decomposition

Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam
2019 Proceedings of the 2019 Conference of the North  
This assumption is too restricted in practice and prevents it from discovering new facts directly. To address this issue, we propose a new task, namely, fact discovery from knowledge base.  ...  During the past few decades, knowledge bases (KBs) have experienced rapid growth. Nevertheless, most KBs still suffer from serious incompletion.  ...  The reason is Facts discovery from knowledge base is essential for enriching KBs in the real world.  ... 
doi:10.18653/v1/n19-1297 dblp:conf/naacl/FuL0L19 fatcat:hjn5xojvpfbvnkr33f5gew7mqu

Expert Discovery: A web mining approach

Muhammad Naeem, Muhammad Khan, Muhammad Afzal
2013 Journal of Artificial Intelligence and Data Mining  
Expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community.  ...  Expert discovery is a quest in search of finding an answer to a question: "Who is the best expert of a specific subject in a particular domain within peculiar array of parameters?"  ...  [34] investigated approaches for scaling particular knowledge discovery in databases (KDD) system to discover interesting and repetitive concepts in graph-based databases from a variety of domains.  ... 
doi:10.22044/jadm.2013.116 doaj:b9bf03b34f5c41ef8b00823e29f81c04 fatcat:rsx4a6efezcj7o7tuuv6mdjmbi

FACETS: multi-faceted functional decomposition of protein interaction networks

Boon-Siew Seah, Sourav S. Bhowmick, C. Forbes Dewey
2012 Computer applications in the biosciences : CABIOS  
/assourav/Facets/ complex-based decomposition.  ...  A typical decomposition, based on an existing and compared it with gold standard datasets from MIPS and KEGG.  ... 
doi:10.1093/bioinformatics/bts469 pmid:22908217 pmcid:PMC3467740 fatcat:nrvbjq3h4fdlrifq4hevwcdzaq

AFLOW-CHULL: Cloud-oriented platform for autonomous phase stability analysis [article]

Corey Oses, Eric Gossett, David Hicks, Frisco Rose, Michael J. Mehl, Eric Perim, Ichiro Takeuchi, Stefano Sanvito, Matthias Scheffler, Yoav Lederer, Ohad Levy, Cormac Toher, Stefano Curtarolo
2018 arXiv   pre-print
A priori prediction of phase stability of materials is a challenging practice, requiring knowledge of all energetically-competing structures at formation conditions.  ...  Powered by the AFLUX Search-API, AFLOW-CHULL leverages data of more than 1.8 million compounds currently characterized in the AFLOW.org repository and can be employed locally from any UNIX-like computer  ...  Hence, screening criteria based on these thermodynamic descriptors can accelerate the discovery of new stable phases.  ... 
arXiv:1806.06901v1 fatcat:ykvp5yhuaba37pomatouqkscey

Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery [article]

Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel Weld, Tom Hope
2022 arXiv   pre-print
We construct a faceted representation of authors with information gleaned from their papers and inferred author personas, and use it to develop an approach that locates commonalities and contrasts between  ...  In response, we describe Bridger, a system for facilitating discovery of scholars and their work.  ...  The facet-based approaches lead to a boost over the non-faceted ss approach, with users overall preferring suggestions coming from the facet-based conditions.  ... 
arXiv:2108.05669v3 fatcat:67d3gei5t5e5hful3qx3rnad3q

QoS Based Discovery and Service Provider System

Ramesh Kumar, Lavanya V, Karthika R, Harshini B
2019 International Journal of Scientific Research in Science and Technology  
For each layer, the algorithm traverses a priori search space which is a set of service patterns from historical solutions, then it searches available services from the repositories.  ...  We propose a two-step, context-based semantic approach to the problem of matching and ranking Web services for possible service composition.  ...  We obtain prior knowledge by mining service patterns from historical records and quickly retrieve prior knowledge by establishing the relationship between requests and service patterns.  ... 
doi:10.32628/ijsrst196170 fatcat:romug4auifhk3cnp7wszdsrebu

FACETS – A Framework for Parallel Coupling of Fusion Components

John R. Cary, Ammar Hakim, Mahmood Miah, Scott Kruger, Alexander Pletzer, Svetlana Shasharina, Srinath Vadlamani, Ronald Cohen, Tom Epperly, Tom Rognlien, Alexei Pankin, Richard Groebner (+3 others)
2010 2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing  
This paper describes the Framework Application for Core-Edge Transport Simulations (FACETS).  ...  ACKNOWLEDGMENT The authors thank the whole FACETS team and DOE SCiDAC program.  ...  This enables any postprocessing application to manipulate FACETS output data without the need for additional, built-in knowledge.  ... 
doi:10.1109/pdp.2010.83 dblp:conf/pdp/CaryHMKPSVCERPGBMZ10 fatcat:udwca3p66jcxrdirgjqgjqiq6y

Clustering Methodologies for Software Engineering

Mark Shtern, Vassilios Tzerpos
2012 Advances in Software Engineering  
We discuss the clustering methods that have received the most attention from the research community and outline their strengths and weaknesses.  ...  The Knowledge Discovery Metamodel (KDM) [34] from the Object Management Group (OMG) can also be used for this purpose.  ...  It can also be viewed as an ontology for describing the key aspects of knowledge related to the various facets of enterprise software.  ... 
doi:10.1155/2012/792024 fatcat:xvc34qoj5jcpdbampjvhle2iji

Semantically-based priors and nuanced knowledge core for Big Data, Social AI, and language understanding

Daniel Olsher
2014 Neural Networks  
Noise-resistant and nuanced, COGBASE makes 10 million pieces of commonsense data and a host of novel reasoning algorithms available via a family of semantically-driven prior probability distributions.  ...  COGBASE is especially ideal for social Big Data, which tends to involve highly implicit contexts, cognitive artifacts, difficult-to-parse texts, and deep domain knowledge dependencies.  ...  In traditional KBs, a single incorrect fact is capable of generating arbitrary results.  ... 
doi:10.1016/j.neunet.2014.05.022 pmid:25022322 fatcat:jdhvomvbyzaqxapt6ffjrepc4e

satin: A Component Model for Mobile Self Organisation [chapter]

Stefanos Zachariadis, Cecilia Mascolo, Wolfgang Emmerich
2004 Lecture Notes in Computer Science  
We argue that physically mobile applications benefit from the use of self organisation primitives.  ...  We discuss an implementation of the SATIN middleware, based on the component model and evaluate our work by adapting existing open source software as SATIN components and by building and testing a system  ...  We attribute the time difference between installing from the PDA to the laptop and updating from the laptop to the PDA to the fact that the PDA discovery component had to discover the updated version of  ... 
doi:10.1007/978-3-540-30469-2_31 fatcat:yy7ghd4mubcerboddjjgofhu7q

Emerging strategies for the synthesis of monodisperse colloidal semiconductor quantum rods

Guohua Jia, Shiqing Xu, Aixiang Wang
2015 Journal of Materials Chemistry C  
In the 2nd step, at elevated temperature, the material of nanowires diffuses from the end facets to the solution and then from the solution to the side facets, forming quantum rods via a ripening process  ...  (b) Mechanism associated with the evolution from nanowires to quantum rods via ripening. (c) Schemes of thermodynamic and kinetic growth of elongated nanocrystals.  ... 
doi:10.1039/c5tc01234a fatcat:tibjcot5bnhbbeepxnug5m4dym

Personal Data Lake with Data Gravity Pull

Coral Walker, Hassan Alrehamy
2015 2015 IEEE Fifth International Conference on Big Data and Cloud Computing  
Query decomposition produces two outputs from the input query. 1. The metadata of the fragments that satisfies the maximum semantic matching based on categories and types expressed in the query. 2.  ...  Such in the Query Decomposition eo4j graph database. .  ... 
doi:10.1109/bdcloud.2015.62 dblp:conf/bdcloud/WalkerA15 fatcat:36vztmjkzzbqdph2i7xmdt6csq

Learning in an Ambient Intelligent Environment. Towards Modelling Learners through Stereotypes

Anders Kofod-Petersen, Sobah Abbas Petersen, Gunhild Griff Bye, Line Kolås, Arvid Staupe
2008 Revue d'intelligence artificielle : Revue des Sciences et Technologies de l'Information  
The facets of an intrapersonal intelligent person are self-reflection and self-discovery, based on a good understanding of himself; he will be aware of and reflect on himself.  ...  The sensitivity layer acquires the goal from the awareness layer. Each goal is matched to an existing task-decomposition-tree.  ... 
doi:10.3166/ria.22.569-588 fatcat:f5jmm273zjd2loazyrsd4ch5ui

Regression Cube

Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma
2014 ACM transactions on interactive intelligent systems (TiiS)  
We introduce an interactive 3D extension of scatterplots called the Regression Cube (RC), which augments a 3D scatterplot with three facets on which the correlations between the two variables are revealed  ...  We have demonstrated our system with two examples and a user-oriented evaluation, and we show how RCs enable interactive visual exploration of multidimensional datasets via a variety of classification  ...  To further clarify our contribution, we now review the process of data discovery via regression.  ... 
doi:10.1145/2590349 fatcat:woi36iawwrg2xmln64zabjt3fe
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