Main aim
The main aim of the project is to build a portable
knowledge management environment that can be use as cultural platform:
a distributed network for creating, modeling and exchanging artistic concepts.
Such an environment would contain a variety of components, from relational
database and computer-science tools useful for many purposes, to more
sophisticated representations and methods which might be appropriate for
some particular group's needs. Moreover, this environment should support
communities of knowledge agents (human and/or computational) with tasks
such as knowledge representation, elicitation, exchange, and negotiation
General, structural characteristic
- Portability
- Flexibility
- Theoretical Soundness
- Balance
- Independence
- Small, Variable Structures
- Design and Discovery
- HyperConstruction
- Corpus Analysis, Management, and Representation
- Ontological Representation
- Agent Negotiation and Collaboration
Portability: An environment to be instantiated,
not a system to be installed.
Flexibility: The ability to support multiple tasks
and representations, depending on the local need.
Theoretical Soundness: Rooted in a solid mathematical
basis, or at least describable in formal representations (hypergraphs
and partially ordered sets).
Balance Between Generality and Richness: The environment
should have a minimally sufficient degree of complexity to accomplish
its tasks without over-design, both for theory and implementation.
Interpretation Independence: system can be focused
on single representations or interpretations, such as ontological representations
of semantic relations among concepts. A formally-rooted system will support
multiple interpretations by allowing the representation of arbitrary relations
among any components in environment (e.g. attribution or historical relations
among documents, generic meta-data based linking, author-based \guides"
through a high dimensional corpus, etc.).
Small, Variable Structures: Technologies should support
not just large, monolithic representations of huge corpora, but also small
structures used in collaborative knowledge sharing and agent communication
and ontology negotiation.
Design and Discovery: Ideally, there should be support
not just for human authoring of knowledge structures, but also for knowledge
discovery (bottom-up, induced relations, inference).
HyperConstruction: Authoring and analysis of individual
semantically enhanced, nonlinearly structured hybrid hyperdocuments and
hyperdocuments collections.
Corpus Analysis, Management, and Representation:
Representation, manipulation, and visualization of corpora as collections
of documents connected by structural links (citation, web links) and annotated
by semantic keywords. Standard tasks include organization and retrieval,
and also customization and recommendation to users and communities of
users.
Ontological Representation: concept graphs to construct
and manipulate representations of specific ontological structures, and
support for sociological methodologies.
Agent Negotiation and Collaboration: Facilities for
agents (human or computational) to share not just information structures
through a common protocol, but also knowledge structures which provide
the semantic basis for the interpretation of those structures.
Data Mining: Graph clustering and other data mining methods (e.g. sequence
analysis, network analysis, latent semantic analysis, and other statistical
tools) to uncover hidden patterns and structural relations.
Cultural and artistic characteristic
- Collaboratorium
- Innovative ideas
- Arena
- Self-reflection
- New patterns
- Co-responsibility
- Development of new ideas
- Social model
- Distributed curating
Collaboratorium: FACE permits the flexible manipulation
and visual representation of ideas, concepts and projects, and also forms
an arena for brainstorms, discussions and confrontations among its authors.
Innovative cultural ideas: FACE functions on the
exchange of concepts created by innovative and radical artists, curators
and specialists working in the avantgarde of contemporary art and cutting-edge
technology (please see attached lists of participants). FACE assumptions
lead to creating think tank and at the same time autonomic artistic space,
cultural collaboratorium as a meeting space for creating and testing new
concepts (artistic and scientific) and also new methods of cooperation
and interaction.
Arena: FACE cross the conception of archive (or frozen
database) of new media art. FACE forms an arena for brainstorms, discussions
and confrontations among authors that allows treat it as the platform
social artistic activities.
Self-reflection: Participants have at their disposition
a tool which allows self-reflection and reconstruction of their own position
in the discourse of new media art. Users choices allow to achieve individual
goals and accelerate the dynamic of exchange.
New patterns: This leads to the development of new
concepts in discovering patterns in their work which hitherto were unnoticed.
Co-responsibility: Each of the participants is a
co-author of the content of FACE and is jointly responsible for its form.
Development of new ideas: The fusion of tools for
the exploration and visualization of knowledge with an infrastructure
which can exchange information between participates, enables the development
of new ideas in the arts.
Agent Negotiation and Collaboration: FACE users are
human agents who interact with the knowledge environment and that situation
creates new models of negotiation and collaboration.
Social model: Social models applied in FACE are based on the ideas such as " autopoesis", holic enterprise, think tank, complex network ecosystem. FACE provide the unified basis that allows using two opposite approaches: hierarchic vs. rhizomatic or symbolic vs. connectionist (symbolic here means logic rules based systems, logical programming, symbolic level ; connectionist, Neural Nets, etc. ). Considering the philosophy these approaches we have the dichotomy: hierarchic, structured, programmed vs. rhizomatic, emergent, holistic. IMO the dichotomy of the connectionist versus symbolic (or rhizom vs. hierarchy) seems to be false and FACE try to find balance between these approaches.
Distributed curating: The choice of participants for successive stages
of the development of FACE is the responsibility of the curators and artists
already taking part in the project.
