Description of the workshop
Methods of automated reasoning have solved a large number of problems in Computer Science by using formal ontologies expressed in logic-based languages. Over the years, though, each problem or class of problems has required a different ontology, and sometimes a different version of logic. Moreover, the processes of designing, controlling and maintaining an ontology as well as its different versions have turned out to be inherently complex. All this has motivated much investigation in a wide range of disparate disciplines -- from logic-based Knowledge Representation and Reasoning to Software Engineering, from Databases to Multimedia -- about how to relate ontologies to one another.
ARCOE-11 aims at bringing together researchers and practitioners from core areas of Artificial Intelligence (Knowledge Representation and Reasoning, Contexts, and Ontologies) and related disciplines to discuss these kinds of problems and relevant results. Historically, there have been at least three different, yet interdependent motivations behind this type of research: defining the relationship between an ontology and its context; providing support to ontology engineers; enhancing problem solving and communication for software agents.
Ontology and Context. Most application areas have recognised the need for representing and reasoning about knowledge that is distributed over many resources. Such knowledge, as well as its intrinsic relevance and usability, depends on its context. The latter is determined by the syntactic and/or semantic structure of the resources, the scope of the underlying language, among other things. Research on information integration, distributed knowledge management, the semantic web, multi-agent and distributed reasoning have pinned down different aspects of how ontologies relate to and/or develop within their context.
Ontology Engineering. Ontology engineers are not supposed to succeed right from the beginning when (individually or collaboratively) developing and maintaining an ontology. Despite their expertise and any assistance from domain experts, revision cycles are the rule. Research on the automation of the process of engineering an ontology has improved efficiency and reduced the introduction of unintended meanings by means of interactive ontology editors that provide support for ontology change (debugging, updates and repair) and maintenance (versioning). Moreover, ontology matching has studied the process of manual, off-line alignment of two or more known ontologies.
Problem Solving and Communication for Agents. Agents that communicate with one another without having full access to their respective ontologies or that are programmed to face new non-classifiable situations must change their own ontology dynamically at run-time -- they cannot rely solely on human intervention. Research on this problem has either concentrated on techniques borrowed from the non-monotonic reasoning and belief revision communities or on changes of signature, i.e., of the grammar of the ontology's language, with a minimal disruption to the original theory. This is also an important issue in the emerging area of General Game Playing.
ARCOE-11 will provide a multi-disciplinary forum, where differences in methodologies, representation languages and techniques are over-arched and hopefully overcome. Accordingly, the workshop will be structured into four tracks: three of them will focus on specific areas, the fourth one will foster links and integration.
Track 1: Context and Ontology
This track will consist of presentations and discussions around the theme of Context and Ontology, a well-established research area that has mainly concentrated on the relationship between contexts and ontologies for distributed information and for the enhancement of software agents.
Track 2: Common Sense and Non-Monotonic Reasoning for Ontologies
This track will consist of presentations and discussions around the theme of Common Sense and Non-Monotonic Reasoning in logic-based Knowledge Representation and Reasoning for ontologies. These are classic areas of AI, which since their origins have produced remarkable results on logic-based methods for supporting knowledge engineers and for enhancing software agents.
Track 3: Automated Ontology Evolution
This track will consist of presentations and discussions around the theme of Automated Ontology Evolution for agents and general problem solving, an area which in recent years has been drawing the attention of Artificial Intelligence and Knowledge Representation and Reasoning on the assessment of change impact and the automation of ontology evolution.
Track 4: Links and integration
This track will foster links and integration by means of invited talks and (panel) discussions. Topics that are likely to be covered are: the formalisation of software engineering concepts for ontology development; the relationship between automated reasoning and information retrieval; relationships between representation languages; relationships between canonical domains; relationships between contexts and ontology evolution and between non-monotonic reasoning and ontology evolution.
ARCOE-11 will bring the participants to position the various approaches with respect to one another. Hopefully, though, the workshop will also start a process of cross-pollination and set out the constitution of a truly interdisciplinary research community dedicated to automated reasoning about contexts and ontology evolution.
Workshop Topics of Interest
Topics of interest include, but are not limited to:
Track 1: Context and Ontology
Submissions are welcome on the role of context and ontology in areas that include but are not limited to the following ones:
- Information integration
- The role of context and ontology in distributed reasoning and knowledge management
- The role of context and ontology in Semantic Web
- Multi-Agent systems
- Data grid and grid computing
- Pervasive computing and ambient intelligence
- Peer-to-peer information systems
- Comparison of uses of contexts and ontologies
Track 2: Common Sense and Non-Monotonic Reasoning
Submissions are welcome on the role of common sense and non-monotonic reasoning for ontologies in areas that include but are not limited to the following ones:
- Ontology debugging, update and merging
- Non-classical belief revision
- Inconsistency handling, belief revision and theory change for DL ontologies
- Uncertainty handling, defeasible reasoning and argumentation in ontologies
- Heuristic and approximate reasoning
- Planning and reasoning about action and change on the Semantic Web
- Rules and ontologies
- Temporal and spatial reasoning
Track 3: Automated Ontology Evolution
Submissions are welcome on the role of automated ontology evolution in areas that include but are not limited to the following ones:
- Ontology fault diagnosis and repair
- Ontology versioning - Adaptive systems and reconfiguration
- General problem solving
- Agent communication
- Persistent agents in changing environment
- Multimedia on the Web
- IT and automated reasoning
Authors and submissions will be selected on the significance of the contribution, on how the work positions itself with respect to Tracks 1-3 above, and on the submission's potential to foster discussions and integration. Also, authors will be preferred to simple attendees. Attendees are welcome, but will be selected on a first-come-first-served basis. Please check the IJCAI-11 website for registration procedure, fees as well as cancellation policies.
ARCOE-11 will accept submissions of long abstracts, for both long presentations and poster presentations. The distinction during the selection-phase will be based on:
1) Relevance, significance and quality of the submission;
2) Degree of interdisciplinarity of the contribution with respect to Tracks 1-3 above, i.e., the contribution's potential to foster cross-pollination and discussions on ARCOE main themes during the event.
In an effort to integrate this relatively new research area, submissions should be able to explicitly and uniformly introduce their work relative to the call for papers and to other approaches. For instance, given specific approaches such as DL-based belief revision, or Context Logic integrated by Natural Language Processing (NLP), or Higher-Order Logic (HOL) or Machine Learning (ML), the authors are expected to introduce their proposals by clearly positioning themselves relative to:
1) Specific canonical problems in their respective area;
2) Paradigms, tools and applications within their own approach;
3) ARCOE's list of canonical problems in Tracks 1-3, i.e., the contribution should be able to make clear how it is positioned relative to ontology and context, ontology engineering and/or general problem solving and communication for agents.All selected abstracts will be included in the Working Notes. Authors are kindly requested to provide keywords upon submission. The format for submissions is the same as that of IJCAI-11. Please check the IJCAI author instructions for the style files. Submissions should be no longer than 5 pages and in PDF format.
|Abstract submission:||April 6, 2011|
|Notification:||May 10, 2011|
|Camera ready:||May 25, 2011|
|Early registration:||May 17, 2011 (11:59PM, UTC-12)|
|Late registration:||June 21, 2011 (11:59PM, UTC-12)|
|Workshop:||July 18, 2011|