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* The AAAI-IO workshop program was held Sunday and Monday, July 11-12, 2010, at the Westin Peachtree Plaza in Atlanta, Georgia. The AAAI-10 workshop program included 13 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were AI and Fun; Bridging the Gap Between Task and Motion Planning; Collaboratively Built Knowledge Sources and Artificial Intelligence; Goal-Directed Autonomy; Intelligent Security; Interactive Decision Theory and Game Theory; Metacognition for Robust Social Systems; Model Checking and Artificial Intelligence; Neural-Symbolic Learning and Reasoning; Plan, Activity, and Intent Recognition; Statistical Relational AI; Visual Representations and Reasoning; and Abstraction, Reformulation, and Approximation. This article presents short summaries of those events., AI and Fun Interactive entertainment has become a dominant force in the entertainment sector of the global economy. In 2000, John Laird and Michael van Lent justified interactive entertainment as [...]

The key commonalities underlying database applications that require semantic integration are that they use structured representations (for example, relational schemas and extensible markup language [XML] document type definitions [DTDs]) to […], Semantic integration has been a long-standing challenge for the database community. It has received steady attention over the past two decades, and has now become a prominent area of database research. In this article, we first review database applications that require semantic integration and discuss the difficulties underlying the integration process. We then describe recent progress and identify open research issues. We focus in particular on schema matching, a topic that has received much attention in the database community, but also discuss data matching (for example, tuple deduplication) and open issues beyond the match discovery context (for example, reasoning with matches, match verification and repair, and reconciling inconsistent data values). For previous surveys of database research on semantic integration, see Rahm and Bernstein (2001); Ouksel and Seth (1999); and Batini, Lenzerini, and Navathe (1986).

Sharing data across disparate sources requires solving many semantic-heterogeneity problems, such as matching ontologies or schemas, detecting duplicate tuples, reconciling inconsistent data values, modeling complex relations between concepts in different […], Sharing data across disparate sources requires solving many problems of semantic integration, such as matching ontologies or schemas, detecting duplicate tuples, reconciling inconsistent data values, modeling complex relations between concepts in different sources, and reasoning with semantic mappings. This issue of AI Magazine includes papers that discuss various methods on establishing mappings between ontology elements or data fragments. The collection includes papers that discuss semantic-integration issues in such contexts as data integration and web services. The issue also includes a brief survey of semantic-integration research in the database community.

In numerous distributed environments, including today's World Wide Web, enterprise data management systems, large science projects, and the emerging semantic web, applications will inevitably use the information described by multiple […], * In numerous distributed environments, including today's World Wide Web, enterprise data management systems, large science projects, and the emerging semantic web, applications will inevitably use the information described by multiple ontologies and schemas. We organized the Workshop on Semantic Integration at the Second International Semantic Web Conference to bring together different communities working on the issues of enabling integration among different resources. The workshop generated a lot of interest and attracted more than 70 participants.