2018 ASIS&T SIG/CR Workshop: Call for Proposals

Call for Papers & Presentations:
ASIS&T Special Interest Group/Classification Research (SIG/CR) Workshop on
Culture, Community, and Voice in Knowledge Organization Systems
Saturday, November 10, 2018 from 1 pm – 5 pm
ASIS&T Annual Meeting, Vancouver, BC – Nov. 10 – 14, 2018
Hyatt Regency Vancouver
Call for Papers & Presentations:

RATIONALE
In response to the theme of this year’s conference, SIG/CR seeks to more-deeply examine the ethical and human- and community-centered implications of knowledge organization (KO) systems as they are embedded in technological and institutional spaces. We seek to answer: how do KO systems define, liberate, or restrict the capacities (access to information, creation of identity, ability to mobilize, etc.) of communities and/or individuals?

Given the location of the conference and the opportunities available for this important discussion, First Nations and indigenous communities will be of particular concern, but participants need not feel limited to this topic. We welcome submissions from the point of view of any communities, including, marginalized, ethnic, and immigrant populations; economic, sexual, gender, disabled, and other minorities. “Community” can also reference professional, educational, or other situated communities or groups that are affected by knowledge organizing structures in some capacity. Perspectives on ecological communities would also be very welcome, broadening our discussion into domains often overlooked in studies of KO and technology.

TOPICS
Potential topics for submission include:

• Examination of the authorial voice in knowledge organizing systems;
• Imposition of classifications in diverse spaces;
• Linguistic analyses of KO systems and language revitalization efforts;
• Knowledge organization as a form of advocacy;
• Domain- and community-specific KO systems and their interrelationship to other systems;
• Case studies in building knowledge organization systems in multiple environments;
• Theoretical critiques of KO systems (such as postcolonial or other critical approaches);
• The ethics of KO as they relate to the topic;
• Practitioner and technical perspectives on KO systems;
• KO systems as creative, subversive, or liberating acts.

There are many potential issues to be discussed here, including,

1. In what ways do builders of KO systems solicit community involvement for their systems?
2. What are the feedback mechanisms for KO systems, and what are the avenues to change structures/concepts/relationships that are inappropriate or have been defined?
3. How do we build flexible systems from a technological point of view? Builders of taxonomies and technology experts are especially welcome in this regard.
4. Who authors KO systems and what implications does this have on various communities?

We solicit papers from a wide variety of individuals, including scholars, theoreticians, builders of classification systems, and those who have technical expertise in these types of systems. Our aim is to include representation from many communities of practice in the discussion so as to provide a more balanced, nuanced, and informed discussion. In this context, knowledge organization systems are broadly conceived and can potentially include, classification systems, taxonomies, ontologies, linked data structures, algorithms, documentary artifact organizational systems, and other classificatory structures. We encourage submissions that examine KO systems as they are embedded in not only documentary organizations, but scientific and professional KOSes as well. The domain of the classification is also open and can include library classification, distributed computational spaces, museums, professional domains, and beyond.
 
Concept papers for non-academic contributions and product demonstrations based on the main themes are also welcome. A prize will be awarded to the best paper. For more information visit the SIG/CR site at https://sigcr.wordpress.com.
 
IMPORTANT DATES
August 15        Paper submissions due
August 31        Author notifications
September 30     Revised papers due
November 1      Participants receive copies of all papers as pre-reads
November 1      Presentation slides due
November 10    Workshop
 
SUBMISSION: To submit a paper (maximum 1,500 words), please email  sigcr.asist@gmail.com.
 
WORKSHOP CO-CHAIRS

Robert D. Montoya, Indiana University Bloomington
Lala Hajibayova, Kent State University
Shavonn Matsuda, University of Hawaiʻi Maui College
Laura Ridenour, University of Wisconsin-Milwaukee
Maayan Zhitomirsky-Geffet, Bar-Ilan University

ASIST SIG/CR Workshop: Call for Proposals

Call for Concept Papers & Presentations:

ASIS&T SIG/CR Workshop on Building a Research Agenda for Multi-Perspective Knowledge Representation

Workshop sponsored by ASIS&T

Special Interest Group/Classification Research (SIG/CR)

October 27, 12:30-5:30pm

–

ASIS&T Annual Meeting, October 27-November 1, 2017, Crystal City, VA, USA

Workshop: October 27, 2017, 12:30pm-5:30pm

Hyatt Regency Crystal City, Virginia

Early registration cost: $115 before September 15th

Please feel free to circulate this message to any colleagues or contacts you think may be interested.

Important Dates:

August 15	Concept papers due
August 16-23	Papers reviewed
August 24	Authors notified
September 15	Revised papers due
October 20	Participants receive copies of all papers as pre-reads
October 20	Presentation slides due

Submission: To submit a concept paper (maximum 1,500 words), please email Lala Hajibayova at lhajibay@kent.edu.

 

We invite contributions for academic research, case studies, work-in-progress and PhD Research. Concept papers for non-academic contributions and product demonstrations based on the main themes are also welcome. A prize will be awarded to the best paper. For more information visit the SIG/CR site at https://sigcr.wordpress.com.

Workshop Goals:

Ontologies, classifications, and controlled vocabularies, are built to represent the knowledge of a specific domain and thus represent the particular entities and relationships of that domain from that community’s perspective. But, what if we want to represent many perspectives? What are the conceptual and technical issues of creating a relationship among ontologies that collect and represent multiple views and are often maintained by diverse constituencies? The goal for the workshop is to identify, define, and compile a set of principles and practices for integrating and coordinating knowledge-representation schemes from different perspectives and for application in a variety of contexts without losing the integrity or personality of the contributing schemes.

 

Topics of Interest for Concept Papers:

Bearing in mind that the purpose of the workshop is to compile a list of issues and practices rather than a particular knowledge structure, we solicit short papers related to any of the following:

• Purposes, motivations, and functions of multi-perspective classification systems
• Knowledge structures and ontological data models in specific domains that exhibit particular aspects relevant to workshop goals
• Issues in building multi-perspective classification structures
• Thoughts on how to accommodate for growth and expansion of classification/knowledge organization systems
• Examples of data models and systems maintaining particular “views” or “dimensions” of knowledge representation with respect to space, population type and culture (local vs. global, individual vs. community/society views), time (diachronic vs. synchronic, contemporary vs. historical views), opinion and authority (expert vs. crowds, viewpoint-dependent vs. consensual, subjective vs. objective views), and scope (intra-disciplinary vs. inter-disciplinary)
• Issues of authority and autonomy
• Rules or practices to support multi-perspective work
• Issues related to modeling and reconciling relationships between knowledge systems
• Issues of maintenance and classification system evolution

Workshop Structure:

• Part 1, Presentations: Laying the Conceptual Framework. Each presenter will have 5 minutes to present a concise version of their paper, followed by a 5-minute moderated discussion led by the respondent
• Part 2, Collaborative Session: Identifying Issues. Starting with existing schemes/ontologies, we will look for approaches and techniques to harmonizing and integrating different views. We will consider the fundamental components of a generic multi-perspective classification model, such as terms, conceptual relationships, cross-perspective relationships, and overall structure.

After the Conference: The workshop outcomes will be summarized in a paper and the proceedings (including the papers) will be published in Advances in Classification Research Online.

Cost: The registration rates will be  $115 for members, $125 non-members, including a coffee break.

Graduate Student Scholarships: SIG/CR is dedicated to supporting graduate student involvement. Limited scholarships are available and will be distributed to all registered graduate students.

Questions: Please email Lala Hajibayova at lhajibay@kent.edu.

Workshop Co-Chairs:

Lala Hajibayova, PhD., Kent State University

Barbara H. Kwaśnik, Ph.D., Syracuse University

Robert D. Montoya, PhD., Indiana University Bloomington

Laura Ridenour, University of Wisconsin-Milwaukee

Maayan Zhitomirsky-Geffet, Ph.D., Bar-Ilan University

Call For Proposals, SIG/CR Classification Research Workshop

Call for Proposals:

“Big Data, Linked Data: Classification Research at the Junction”

SIG/CR Classification Research Workshop

Saturday, November 2, 2013

ASIST Annual Meeting

Montreal, Canada

https://sigcr.wordpress.com/

ASIST’s Special Interest Group in Classification Research will hold its annual Classification Research Workshop as part of the ASIST Annual Meeting in Montreal, Canada, on November 2, 2013.  The Workshop Program Committee is currently inviting proposals for papers to be presented at the workshop.

THEME

The growing ubiquity of cloud computing, mobile technology and large data collections has given fresh currency to two important information phenomena: big data and linked data. “Big data” refers to the rise of ambitious projects which cultivate both large datasets and massive quantities of unstructured data existing in the long tail of the Web. These projects, in their very reach and size, can yield suggestive patterns and significant predictive value.  “Linked data” refers to the emergence of data which has been deliberately structured according to Semantic Web standards of resource description and linked through a complex network of relationships defined through formal ontologies.

While big data and linked data are often considered separately, classification research stands at the juncture between these two approaches, and can therefore provide a context in which researchers in each domain can benefit from the insights of the other. Classification forms the bedrock of the analysis of big data sets. Natural language processing, detection of linguistic behaviour, and the design of translation systems all rely on the painstaking definition of synonymies, genus-species relationships, whole-part relationships, and facet structures to extract meaning from data from vastly different sources with different degrees of definition and structure. Linked data projects employ the same classification principles in their formal definitions of domains and namespaces, their use of ontologies to reconcile and combine data from different namespaces, and the use of inferential logic to form reasonable inferences from data that has been linked together.

Classification research, therefore, has a key role to play in the emergence of new tools and functionalities that will determine how human communities adopt both big data and linked data into their information systems and behaviour. This workshop will bring classification researchers together with those exploring linked data and big data, thereby providing researchers and practitioners with the theoretical vocabulary to forge meaningful connections between these two phenomena.

FORMAT OF PROPOSALS:

Authors wishing to present a paper may submit a 500-word extended abstract.  Extended abstracts should contain citations (not included in the word count).  Presentations will be a maximum of 20 minutes long, followed by 10 minutes of discussion.  Authors must present a draft of the paper to their session chair by October 25, 2013.

OTHER FORMS OF CONTRIBUTION:

The workshop will also feature a poster session (details to follow in a separate Call for Proposals), as well as a final session of discussion devoted to making connections between issues raised during the day, and suggesting ideas for the 2014 workshop.

PROPOSAL SUBMISSION AND EVALUATION:

Please submit your extended abstract to the following address by August 5, 2013:

D. Grant Campbell

Faculty of Information and Media Studies

University of Western Ontario

gcampbel@uwo.ca

The abstracts will be submitted to a double-blind review process, and authors will receive notification by August 30, 3013.

After the workshop, full papers will be published online in

Advances in Classification Research Online, http://journals.lib.washington.edu/index.php/acro