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Selection: with tag automatic-knowledge-mapping [8 articles] 

 

The challenge of knowledge soup

  
In Research Trends in Science, Technology and Mathematics Education (May 2006), pp. 55-90

Abstract

People have a natural desire to organize, classify, label, and define the things, events, and patterns of their daily lives. But their best-laid plans are overwhelmed by the inevitable change, growth, innovation, progress, evolution, diversity, and entropy. These rapid changes, which create difficulties for people, are far more disruptive for the fragile databases and knowledge bases in computer systems. The term knowledge soup better characterizes the fluid, dynamically changing nature of the information that people learn, reason about, act upon, and ...

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 3

  
(February 2014)
Keywords: apennines   aphid   aphis-pomi   apl   apmv-transmission   approximate-dynamic-programming   apriona-germari   aqua-modis   aquatic-invertebrate-shredders   aradus-cinnamommeus   araucaria-angustifolia   araucaria-araucana   araucaria-bidwillii   araucaria-heterophylla   araucaria-montana   araucaria-spp   arboriculture   arbutus-canariensis   arbutus-menziesii   arbutus-spp   arbutus-unedo   arctic-region   arctostaphylos-uva-ursi   ardity   argania-spinosa   argentina   argive-plain   arid-climate   arid-region   aridity   arion-lusitanicus   aristolochia-arborea   armillaria-spp   array-atomic-variables   array-of-agents   array-of-factors   array-of-sectors   array-of-users   array-programming   arsenic   arthropods   artic-region   artic-sea-ice   artificial-intelligence   artificial-neural-network   artificial-neural-networks   artocarpus-altilis   artocarpus-heterophyllus   arvicola-spp   arxiv   asia   aspidosperma-cruentum   aspidosperma-myristicifolium   asplenium-spp   assessment   associated-microorganisms   association-genetics   associations   asteraceae   asynchronous-change   atmosphere   atmospheric-circulation   atriplex-halimus   atriplex-nummularia   atta-cephalotes   auc   australia   austria   austrocedrus-chilensis   authorship   autoecology   automatic-knowledge-generation   automatic-knowledge-mapping   automation   automation-irony   autonomic-computing   autoregressive-model   avicennia-germinans   avifauna   awk   azadirachta-indica   azerbaijan   azolla-spp   bacillus-thuringiensis   back-propagation-networks   bacteria   bacterial-canker   bacterial-diseases   bacterial-wood-degradation   bactris-gasipaes   bactrocera-invadens   bactrocera-oleae   baikiaea-plurijuga   balanites-aegyptiaca   balkan-peninsula   balkan-region   balkans   bangladesh   banksia-grandis   inrmm-list-of-tags  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Google Scholar Wins Raves—But Can It Be Trusted?

  
Science, Vol. 343, No. 6166. (03 January 2014), pp. 14-14, https://doi.org/10.1126/science.343.6166.14

Abstract

Google Scholar is picking up adherents in the scientific community. But the search service's ascendancy is not going unchallenged. ...

 

Tensions grow as data-mining discussions fall apart

  
Nature, Vol. 498, No. 7452. (4 June 2013), pp. 14-15, https://doi.org/10.1038/498014a

Abstract

Disagreement between scientists and publishers has grown on a thorny issue: how to make it easier for computer programs to extract facts and data from online research papers. On 22 May, researchers, librarians and others pulled out of European Commission talks on how to encourage the techniques, known as text mining and data mining. The withdrawal has effectively ended the contentious discussions, although a formal abandonment can be decided only after a commission review in July. Scientists have chafed for years at ...

 

CYC: a large-scale investment in knowledge infrastructure

  
Commun. ACM, Vol. 38, No. 11. (November 1995), pp. 33-38, https://doi.org/10.1145/219717.219745

Abstract

Since 1984, a person-century of effort has gone into building CYC, a universal schema of roughly 105 general concepts spanning human reality. Most of the time has been spent codifying knowledge about these concepts; approximately 106 commonsense axioms have been handcrafted for and entered into CYC's knowledge base, and millions more have been inferred and cached by CYC. This article examines the fundamental assumptions of doing such a large-scale project, reviews the technical lessons learned by the developers, and surveys the ...

 

Intelligent database systems

  
(2001)

Abstract

This book provides a state of the art guide to the new developments in expert database systems, from the unique perspective of both the database and AI areas. It gives complete and detailed coverage of the latest research and practice, including all the need-to-know technical and theoretical approaches in the area. ...

 

Ontology research and development. Part 2 - a review of ontology mapping and evolving

  
Journal of Information Science, Vol. 28, No. 5. (01 October 2002), pp. 375-388, https://doi.org/10.1177/016555150202800503

Abstract

This is the second of a two-part paper to review ontology research and development, in particular, ontology mapping and evolving. Ontology is defined as a formal explicit specification of a shared conceptualization. Ontology itself is not a static model so that it must have the potential to capture changes of meanings and relations. As such, mapping and evolving ontologies is part of an essential task of ontology learning and development. Ontology mapping is concerned with reusing existing ontologies, expanding and combining ...

 

Ontology research and development. Part 1 - a review of ontology generation

  
Journal of Information Science, Vol. 28, No. 2. (01 April 2002), pp. 123-136, https://doi.org/10.1177/016555150202800204

Abstract

Ontology is an important emerging discipline that has the huge potential to improve information organization, management and understanding. It has a crucial role to play in enabling content-based access, interoperability, communications, and providing qualitatively new levels of services on the next wave of web transformation in the form of the Semantic Web. The issues pertaining to ontology generation, mapping and maintenance are critical key areas that need to be understood and addressed. This survey is presented in two parts. The first ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/automatic-knowledge-mapping

Publication metadata

Bibtex, RIS, RSS/XML feed, Json, Dublin Core

Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
Search within the whole INRMM meta-information database:
Search only within the INRMM-MiD publication records:
Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.