[CITAMS] CFP: Schemas, Graphs, Ontologies: Baking Semantics into Data-Driven Media Technologies

Andrew Iliadis andrew.iliadis at temple.edu
Thu Jan 3 18:38:09 EST 2019

*apologies for cross posting*

*CFP: Schemas, Graphs, Ontologies: Baking Semantics into Data-Driven Media

*4S 2019 New Orleans: Innovations, Interruptions, Regenerations*

*Society for Social Studies of Science Annual Meeting New Orleans September
4-7, 2019*

Happy New Year! Hope everyone had a restful break. We’re organizing a call
for papers on semantic media technologies for the upcoming 4S conference.
If you’re working on topics like the semantic web, knowledge graphs,
applied ontologies, metadata, taxonomies, and categorization, we’d love to
have you with us. The open call description is below, with a list of
potential topics and submission link.

130. Schemas, Graphs, Ontologies: Baking Semantics into Data-Driven Media

Amelia Acker, The University of Texas at Austin

Andrew Iliadis, Temple University

Since Google declared, in a 2012 blog post, that they would begin focusing
on “things, not strings” there has been increasing talk in the media about
the value of semantically enhancing data for reuse and sharing. As vast
amounts of unstructured data grow thanks to the resources of media
technology companies and governments, there is a push to structure those
data to produce semantic interoperability and thus improve understanding.
Various information infrastructures like metadata schemas, knowledge
graphs, and applied ontologies are experiencing a resurgence as the
limitations of statistical algorithms and relational databases become
clearer and researchers argue for training data that must be made
understandable and structured in such a way as to provide value. Yet, along
with increasing our ability to make sense of heterogeneous data through
semanticization, there are identifiable problems related to data
interoperability that may negatively impact people, practices, and places.
This panel will explore the idea of schemas, graphs, and ontologies through
their use by media technology companies and scientific researchers by
asking if these methods are appropriate for modeling all kinds of
knowledge, how such modeling affects access and control, what risks of
misrepresentation and error exit, and what potential there is of
transforming or appropriating knowledge. This panel seeks empirically
grounded papers or novel theoretical approaches to understanding how
semantically constraining technologies are operationalized in practices
across domains, including scientific, governmental, and business contexts.
Papers that focus on single case studies, introduce new methods, or propose
ethical and policy frameworks are encouraged.

Topics of interest include (but are not limited to): histories of semantic
media, social and critical perspectives on semantic technologies, semantic
web, open data, linked data, knowledge graphs, schemas, metadata, applied
ontology, taxonomies, graph databases, DBpedia, Wikidata, Web Ontology
Language, Schema.org, microformats, Resource Description Framework,
Freebase, GoodRelations, PoolParty, Ontotext, Friend of a Friend,
Descriptive Ontology for Linguistic and Cognitive Engineering, Dublin Core,
Basic Formal Ontology, GoodRelations, Shapes Constraint Language, Google
Knowledge Graph, Facebook Open Graph, Neo4j, Microsoft Satori, World Wide
Web Consortium, virtual assistants, Siri Active Ontology, eBay Product
Knowledge Graph, Alexa Meaning Representation Language, etc.

Submissions (250 words, due by Feb 1st) can be submitted here (select
“Papers for Open Panels” #130):

Andrew Iliadis, PhD
Assistant Professor
Department of Media Studies and Production
Lew Klein College of Media and Communication
Temple University
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