Composition Task
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A Composition Task a task that involves a design task and a creative task.
- AKA: To Compose.
- See: Composition, Musical Composition, Publishing Task.
References
2014
- (Elfirdaoussi et al., 2014) ⇒ Elfirdaoussi, S., Zahi Jarir, and Mohamed Quafafou. "Web service composition based on popularity." CS & IT CSCP (2014) DOI: 10.1.1.671.3166.
- ABSTRACT: In Web Service research, providing methods and tools to cater for automatic composition of services on the Web is still the object of ongoing research activity. Despite the proposed approaches this issue remains open. In this paper we propose a seamless way to compose automatically web services from expressed abstract process model. The process of composition is based on web service popularity concept. To validate our approach an implementation is presented.
2009A
- (WordNet, 2009) ⇒ http://wordnetweb.princeton.edu/perl/webwn?s=compose
- S: (v) compose (form the substance of) "Greed and ambition composed his personality"
- S: (v) compose, write (write music) "Beethoven composed nine symphonies"
- S: (v) write, compose, pen, indite (produce a literary work) "She composed a poem"; "He wrote four novels"
- S: (v) compose, compile (put together out of existing material) "compile a list"
- S: (v) compose (calm (someone, especially oneself); make quiet) "She had to compose herself before she could reply to this terrible insult"
- S: (v) frame, compose, draw up (make up plans or basic details for) "frame a policy"
2009B
- (Isaac & Summers, 2009) ⇒ Antoine Isaac, and Ed Summers. (2009). “SKOS Simple Knowledge Organization System Primer." W3C Working Group Note, 18 August 2009.
- … SKOS allows concepts to be composed and published on the World Wide Web, linked with data on the Web and integrated into other concept schemes.
2009C
- (Lichtenwakter et al., 2009) ⇒ Lichtenwalter, R., Lichtenwalter, K., & Chawla, N. V. (2009). Applying Learning Algorithms to Music Generation. In IICAI (pp. 483-502).
- ABSTRACT: Several automated composition systems have arisen that generate or facilitate understanding of blues chord progressions, jazz improvisation, or classical pieces. Such systems often work by applying a set of rules explicitly provided to the system to determine what sequence of output values is appropriate. Others use pattern recognition and generation techniques such as Markov chains. We propose a system in which sliding window sequential learning techniques are used to generate rules that correspond to a training set of musical data. This approach has the dual advantages of greater generality than explicitly specifying rules to a system and the ability to apply effectively a wide variety of powerful existing learning algorithms. We present the design and implementation of the composition process. We also illustrate several reasonably successful samples of its output and discuss ways in which it can be improved with additional work.
2007
- (Tran et al., 2007) ⇒ Tran, Vuong Xuan, and Hidekazu Tsuji. "Owl-t: A task ontology language for automatic service composition." Web Services, 2007. ICWS 2007. IEEE International Conference on. IEEE, 2007 DOI:10.1109/ICWS.2007.138.
- ABSTRACT: In order to satisfy incremental business demands, it is often required to combine functionalities of several services together. A number of approaches for service composition have been therefore proposed in both academic and industrial communities. These approaches, such as BPEL, WSCI, etc. can be categorized into static, manual service composition methods. In addition, by applying Semantic Web technologies, many research works have been investigated to support automatic service composition. Despite of the significant results being achieved, the task of service composition is still a challenging and complex issue. The main reason is that the former approaches require too much detail and technical interventions for defining business processes while the latter approaches are not much scalable for sophisticated applications. In this paper, we will introduce our approach for developing an ontology/language based on the OWL, called OWL-T (T stands for task), which can be used for users describing and specifying formally and semantically their needs at a high-level abstraction, which can be then transformed into executable business processes by underlying systems. The OWL-T aims at facilitating the modeling of complex demands or systems without regarding details of low-level and technical aspects of underlying infrastructure.