Biodiverstiy Informatics (Journal)

Vol 7, No 3 (2011)

Desmond Foley
A SPREADSHEET MAPPING APPROACH FOR ERROR CHECKING AND SHARING COLLECTION POINT DATA

既存のデータベースの位置情報には間違いが多くて問題。データ提供前に地図上に位置をプロットする形でチェックできれば良い。分布情報のクオリティコントロールを行うツールは数多くでているが、どれも習熟に時間がかかる。この論文ではエクセルのchart functionを使ったツールを提供します…という内容。

http://www.vectormap.org/resources.htm.

Vol 7, No 2 (2010)

Walter G. Berendsohn, Vishwas Chavan, James Macklin
Summary of Recommendations of the GBIF Task Group on the Global Strategy and Action Plan for the Digitisation of Natural History Collections

 

Nicholas King, Leonard Krishtalka, Vishwas Chavan
Thoughts on implementation of the recommendations of the GBIF Task Group on a Global Strategy and Action Plan for Mobilisation of Natural History Collections Data

 

Malcolm Scoble
Rationale and Value of Natural History Collections Digitisation

 

Arturo H. Ariño
APPROACHES TO ESTIMATING THE UNIVERSE OF NATURAL HISTORY COLLECTIONS DATA

 

Ana Vollmar, James Alexander Macklin, Linda Ford
Natural History Specimen Digitization: Challenges and Concerns

 

Vishwas Chavan, PENNY BERENTS, MICHELLE HAMER
TOWARDS DEMAND DRIVEN PUBLISHING: APPROCHES TO THE PRIORITISATION OF DIGITISATION OF NATURAL HISTORY COLLECTIONS DATA

 

Walter G. Berendsohn, Peggy Seltmann
Using geographical and taxonomic metadata to set priorities in specimen digitization

 

Roger Charles Baird
Leveraging the fullest potential of scientific collections through digitisation.

Vol 7, No 1 (2010)

Viktor Nilsson-Örtman, Anders N. Nilsson
USING TAXONOMIC REVISION DATA TO ESTIMATE THE GLOBAL SPECIES RICHNESS AND CHARACTERISTICS OF UNDESCRIBED SPECIES OF DIVING BEETLES (COLEOPTERA: DYTISCIDAE)

これは、既存の生物多様性情報(この場合revision情報)を使って多様性を評価する事例の話のようだ。私の関心である、多様性情報をどうやって集めてそれを維持していくのかという問題とは直接には関係しなさそうだ。

 

Steven J Baskauf
ORGANIZATION OF BIODIVERSITY RESOURCES BASED ON THE PROCESS OF THEIR CREATION AND THE ROLE OF INDIVIDUAL ORGANISMS AS RESOURCE RELATIONSHIP NODES

タイトルでは全然意味が分からないのでアブストラクトも載せておきます。 

<ABSTRACT> Kinds of occurrences (evidence of particular living organisms) can be grouped by common data and metadata characteristics that are determined by the way that the occurrence represents the organism. The creation of occurrence resources follows a pattern which can be used as the basis for organizing both the metadata associated with those resources and the relationships among the resources. The central feature of this organizational system is a resource representing the individual organism. This resource serves as a node which connects the organism's occurrences and any determinations of the organism's taxonomic identity. I specify a relatively small number of predicates which can define the important relationships among these resources and suggest which metadata properties should logically be associated with each kind of resource.

 

  • ある生物個体にまつわる複数の情報(標本、画像、DNAシーケンス等)を情報学的にどのように管理すればいいのかということを論じている。"In this paper, I suggest a system of organizing biodiversity resources around individual organism records."
  • いわゆる生物の“出現レコード”のことをこの論文では“Resouece”と呼んでいる。Resoueceには以下の3種があるという。
  1. Physical resource(物質的な根拠に基づくもの:標本、フィルム写真など)
  2. Infromation resource(デジタル情報が根拠となっているもの:DNAシーケンス、デジタル画像など)
  3. Observaton resource(単なる観察記録であり、根拠が残されていないもの)
  • あくまでも個体が単位であり、それによって個々のResoueceが“ノード”として機能し、関連性の結びつけが可能になる。
  • 同定情報も同様に結びつける。複数の同定情報が紐づくことも想定している。
  • このような情報をRESOURCE DESCRIPTION FRAMEWORK (RDF)形式のファイルとして扱っており、その例をappendixとして添えている。

 

 

Nico M Franz
BIOLOGICAL TAXONOMY AND ONTOLOGY DEVELOPMENT: SCOPE AND LIMITATIONS
なんだか大げさなタイトルだ。

Vol 6 (2009)

Aditya P Kakodkar, Sarika S. Kerkar, Neena S. Varghese, Devanand P. Kavlekar, C. T. Achuthankutty
DARWIN CORE BASED DATA STREAMLINING WITH DigiMus 2.0

Eugene Ch'ng
AN EFFICIENT SEGMENTATION ALGORITHM FOR ENTITY INTERACTION

Laura Downey, Deana Pennington
BRIDGING THE GAP BETWEEN TECHNOLOGY AND SCIENCE WITH EXAMPLES FROM ECOLOGY AND BIODIVERSITY

Alberto Jiménez-Valverde, Yoshinori Nakazawa, Andrés Lira-Noriega, A. Townsend Peterson
ENVIRONMENTAL CORRELATION STRUCTURE AND ECOLOGICAL NICHE MODEL PROJECTIONS

Miguel Fernandez, Stanley Blum, Steffen Reichle, Qinghua Guo, Barbara Holzman, Healy Hamilton
LOCALITY UNCERTAINTY AND THE DIFFERENTIAL PERFORMANCE OF FOUR COMMON NICHE-BASED MODELING TECHNIQUES

Anton Güntsch, Niels Hoffmann, Patricia Kelbert, Walter G. Berendsohn
EFFECTIVELY SEARCHING SPECIMEN AND OBSERVATION DATA WITH TOQE, THE THESAURUS OPTIMIZED QUERY EXPANDER


Vol 5 (2008)

Astrid van Teeffelen, Atte Moilanen
Where and how to manage: Optimal selection of conservation actions for multiple species.


Jorge M Lobo

More complex distribution models or more representative data?

 

hong cui
Converting Taxonomic Descriptions to New Digital Formats

<ABSTRACT> The majority of taxonomic descriptions are currently in print format. The majority of digital descriptions are in a format, such as DOC, HTML, or PDF, for human readers. These formats do not convey rich semantics in taxonomic descriptions for computer-aided processing.
Newer digital formats, such as XML and RDF, accommodate semantic annotations that allow a computer to process the rich semantics on human's behalf, opening up opportunities for a wide range of innovative usages of taxonomic descriptions, including searching in more precise and flexible ways, integrating morphological, genomic, georeference, or other information, automatically generating taxonomic keys, and knowledge mining and visualizing taxonomic data etc. This paper reports our experience with the development of an automated semantic markup system named MARTT and discusses challenging issues involved. To address these challenging issues, a number of utilities were implemented to make MARTT a more operable system. The utilities can be used to speed up the preparation of training examples for MARTT, to facilitate the creation of more comprehensive annotation schemas, and to predict system performance on a new collection of descriptions. MARTT has been tested on several plant and alga taxonomic publications including Flora of China, Flora of North America, and Flora of North Central Texas.

Vol 4 (2007)

Guido Sautter, Klemens Böhm, Donat Agosti
A Quantitative Comparison of XML Schemas for Taxonomic Publications

 

Monica Papes
Ecological Niche Modeling Approaches to Conservation of Endangered and Threatened Birds in Central and Eastern Europe

 

Sophie Neale, M. R. Pullan, M. F. Watson
Online Biodiversity Resources - Principles for Usability

Vol 3 (2006)

Roderic D. M. Page
Taxonomic names, metadata, and the Semantic Web

 

Joaquín Hortal, Jorge M Lobo
A synecological framework for systematic conservation planning

 

Guido Sautter, Klemens Böhm, Donat Agosti
A combining approach to find all taxon names (FAT)

 

A. Townsend Peterson
Uses and Requirements of Ecological Niche Models and Related Distributional Models

Vol 2 (2005)

Jorge Soberon, A. Townsend Peterson
Interpretation of Models of Fundamental Ecological Niches and Species’ Distributional Areas

Víctor Sánchez-Cordero, Verónica Cirelli, Mariana Munguial, Sahotra Sarkar
Place prioritization for biodiversity content using species ecological niche modeling


Arthur D Chapman, Mauro E.S. Muñoz, Ingrid Koch
Environmental Information: Placing Biodiversity Phenomena in an Ecological and Environmental Context

Enrique Martinez-Meyer
Climate Change and Biodiversity: Some Considerations in Forecasting Shifts in Species' Potential Distributions

Robert P Guralnick, David Neufeld
Challenges Building Online GIS Services to Support Global Biodiversity Mapping and Analysis: Lessons from the Mountain and Plains Database and Informatics project.

Vishwas Shravan Chavan, Nilesh Sunil Rane, Aparna Watve, Michael Ruggiero
Resolving taxonmic discrepancies: Role of Electronic Catalogues of Known Organisms

Drew Koning, Indra Neil Sarkar, Thomas Moritz
TaxonGrab: Extracting Taxonomic Names From Text

Vol 1 (2004)

Vanderlei Perez Canhos, Sidnei de Souza, Renato De Giovanni, Dora Ann Lange Canhos
Global Biodiversity Informatics: setting the scene for a “new world” of ecological forecasting

 

Barbara R Stein, John R. Wieczorek
Mammals of the World: MaNIS as an example of data integration in a distributed network environment

 

Marcos R. Silva

Bioinformatics, the Clearing-House Mechanism and the Convention on Biological Diversity