Results 11 to 20 of about 1,199,057 (174)
Modeling Relation Paths for Representation Learning of Knowledge Bases [PDF]
, 2015 Representation learning of knowledge bases (KBs) aims to embed both entities and relations into a low-dimensional space. Most existing methods only consider direct relations in representation learning.
Lin, Yankai +5 more
core +2 more sources
mirtronDB: a mirtron knowledge base [PDF]
Bioinformatics, 2018 AbstractMotivationMirtrons are originated from short introns with atypical cleavage from the miRNA canonical pathway by using the splicing mechanism. Several studies describe mirtrons in chordates, invertebrates and plants but in the current literature there is no repository that centralizes and organizes these public and available data.
Bruno Henrique Ribeiro da Fonseca +3 more
openaire +6 more sources
Enriching Knowledge Bases with Counting Quantifiers
, 2018 Information extraction traditionally focuses on extracting relations between identifiable entities, such as . Yet, texts often also contain Counting information, stating that a subject is in a specific relation with a number of objects, without ...
F Darari +7 more
core +1 more source
Introducing Dynamic Behavior in Amalgamated Knowledge Bases
, 2002 The problem of integrating knowledge from multiple and heterogeneous sources is a fundamental issue in current information systems. In order to cope with this problem, the concept of mediator has been introduced as a software component providing ...
Bertino, Elisa +2 more
core +2 more sources
Population and species neighbor identity impact trait–trait relationships and plant performance
Population Ecology, EarlyView.We evaluated how populations and species identity influence plant performance and trait outcomes in mixtures, and assessed trait variation among populations of two forb species native to the western United States (Dieteria canescens and Heterotheca villosa) following three interaction treatments (single‐population monoculture, two‐population mixture ...
Alicia J. Foxx +2 more
wiley +1 more source
A knowledge base for knowledge-based multiagent system construction [PDF]
Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093), 2002 The goal of the agentTool project at the Air Force Institute of Technology is to specify, design, and semiautomatically generate multiagent systems. The key to this ability is an underlying knowledge base that manages the knowledge used by the system designer in creating intelligent agent-based software applications.
Scott A. DeLoach, M.J. Raphael
openaire +2 more sources
Dendritic cells steering antigen and leukocyte traffic in lymph nodes
FEBS Letters, EarlyView.Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta +3 more
wiley +1 more source
Diversification and hybridization in firm knowledge bases in nanotechnologies [PDF]
, 2007 The paper investigates the linkages between the characteristics of technologies and the structure of a firms' knowledge base. Nanotechnologies have been defined as converging technologies that operate at the nanoscale, and which require integration to ...
A.V. Favier +13 more
core +5 more sources
The dual nature of TDC – bridging dendritic and T cells in immunity
FEBS Letters, EarlyView.TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
wiley +1 more source
Neural Semantic Parsing over Multiple Knowledge-bases
, 2017 A fundamental challenge in developing semantic parsers is the paucity of strong supervision in the form of language utterances annotated with logical form. In this paper, we propose to exploit structural regularities in language in different domains, and
Berant, Jonathan, Herzig, Jonathan
core +1 more source