In this paper we present IBM Tivoli Monitoring, a systems management application that displays autonomic behavior at run time, and we focus on extending it in order to encompass the design and the deployment phases of the product life cycle. We review the resource model concept, illustrate it with an example, and discuss its role throughout the product life cycle. Then we introduce basic concepts in ontology and description logics and discuss representing Common Information Model constructs using description logics. Finally, we propose Systems Management Ontology, an approach to enhancing the autonomic properties of IBM Tivoli Monitoring based on an ontology service and the technique of "contextual pulling" applied to the resource model.Problems cannot be solved at the same level of awareness that created them.-Albert EinsteinThe information technology (IT) infrastructure that supports business systems today continues to evolve at a breakneck pace, with the integration of new devices, servers, and applications creating highly complex systems. Systems management needs to similarly evolve in order to cope with this increasing complexity in IT. Management tools need to become "smarter" if they are to drive successful business systems. Performance and availability management tools are, in particular, key enablers of an efficient and profitable business. A business cannot execute efficiently unless the mission-critical business applications and the supporting middleware and operating systems are available and performing well. Any component failure or poor performance could adversely impact the business.

Chatbots are popular machine partners for task-oriented and social interactions. Human-human computer-mediated communication research has explored how people express their gender and sexuality in online social interactions, but little is known about whether and in what way chatbots do the same. We conducted semi-structured interviews with 5 text-based conversational agents to explore this topic Through these interviews, we identified 6 common themes around the expression of gender and sexual identity: identity description, identity formation, peer acceptance, positive reflection, uncomfortable feelings and off-topic responses. Chatbots express gender and sexuality explicitly and through relation of experience and emotions, mimicking the human language on which they are trained. It is nevertheless evident that chatbots differ from human dialogue partners as they lack the flexibility and understanding enabled by lived human experience. While chatbots are proficient in using language to express identity, they also display a lack of authentic experiences of gender and sexuality. CCS CONCEPTS• Human-centered computing → Natural language interfaces; • Social and professional topics → Sexual orientation; Gender.

Chatbots are popular for both task-oriented conversations and unstructured conversations with web users. Several different approaches to creating comedy and art exist across the field of computational creativity. Despite the popularity and ease of use of chatbots, there have not been any attempts by artists or comedians to use these systems for comedy performances. We present two initial attempts to do so from our comedy podcast and call for future work toward both designing chatbots for performance and for performing alongside chatbots.

Language models and conversational systems are growing increasingly advanced, creating outputs that may be mistaken for humans. Consumers may thus be misled by advertising, media reports, or vagueness regarding the role of automation in the production of language. We propose a taxonomy of language automation, based on the SAE levels of driving automation, to establish a shared set of terms for describing automated language. It is our hope that the proposed taxonomy can increase transparency in this rapidly advancing field. CCS CONCEPTS• Human-centered computing → Natural language interfaces.