Name
Abstract | ||
|---|---|---|
Resolving inconsistency in knowledge-integration systems is a major issue, especially when interlinking heterogeneous, autonomous sources. The latter can be done using a multi-context system, also in presence of non-monotonicity. Recent work considered diagnosis and explanation of inconsistency in such systems in terms of faulty information exchange. To discriminate between different solutions, we consider inconsistency assessment using preference. We present means to a) filter undesired diagnoses b) select the most preferred ones given an arbitrary preference order and c) use CP-nets for efficient selection. Furthermore, we show how to incorporate the assessment into a Multi-Context System by a transformational approach. In a range of settings, the complexity does not increase compared to the basic case and key properties like decentralized information exchange and information hiding are preserved. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15675-5_14 | JELIA |
Keywords | Field | DocType |
resolving inconsistency,different solution,autonomous source,inconsistency assessment,arbitrary preference order,multi-context system,faulty information exchange,information hiding,preference-based inconsistency assessment,decentralized information exchange,basic case,nonmonotonic reasoning,information exchange,knowledge integration | Data mining,Computer science,Information hiding,Information exchange,Transformational leadership,Non-monotonic logic,Dynamic inconsistency,Medical diagnosis | Conference |
Volume | ISSN | ISBN |
6341 | 0302-9743 | 3-642-15674-6 |
Citations | PageRank | References |
12 | 0.55 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Eiter | 1 | 7238 | 532.10 |
| Michael Fink | 2 | 1145 | 62.43 |
| Antonius Weinzierl | 3 | 123 | 11.04 |