Problems, solutions, and semantic computing. (English) Zbl 1205.68385
Summary: Semantic Computing extends Semantic Web both in breadth and depth. It bridges, and integrates, several computing technologies into a complete and unified theme. This article discusses the essences of Semantic Computing with a description of SemanticServices.Net, a new paradigm that enables ”Problem-driven” search that may offer a new story to the Internet.
MSC:
| 68T20 | Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) |
| 68T05 | Learning and adaptive systems in artificial intelligence |
| 68P10 | Searching and sorting |
References:
| [1] | Subrahmanian V. S., Principles of Multimedia Database Systems (1998) |
| [2] | DOI: 10.1145/1364782.1364786 · doi:10.1145/1364782.1364786 |
| [3] | Ross J. W., IBM Systems Journal 43 |
| [4] | Wang Q., IEEE Trans Data and Knowledge Engineering |
| [5] | DOI: 10.1142/S1793351X07000160 · doi:10.1142/S1793351X07000160 |
| [6] | DOI: 10.1142/S1793351X07000020 · doi:10.1142/S1793351X07000020 |
| [7] | Nilsson N. J., Artificial Intelligence – A New Synthesis (1998) · Zbl 1012.68605 |
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.
