By R. M. Duwairi, N. J. Fiddian, W. A. Gray (auth.), Ron Morrison, Jessie Kennedy (eds.)
This booklet constitutes the refereed court cases of the 14th British nationwide convention on Databases, BNCOD 14, held in Edinburgh, uk, in July 1996.
The thirteen revised papers provided within the booklet in complete model including invited talks and 3 business abstracts have been chosen from a complete of forty seven submissions concerning authors from 21 nations. The papers integrated are written by means of researchers and pros from academia and undefined; the quantity is prepared in topical sections on object-oriented databases, integrity matters, database functionality and optimization, and database languages.
Read or Download Advances in Databases: 14th British National Conference on Databases, BNCOD 14 Edinburgh, United Kingdom, July 3–5, 1996 Proceedings PDF
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Extra resources for Advances in Databases: 14th British National Conference on Databases, BNCOD 14 Edinburgh, United Kingdom, July 3–5, 1996 Proceedings
Sen, S. L. Sarda Table 1. Top class matches based on propagated values of similarity of supper classes and attributes Target Class (cTq) Source Class (cSp ) Lexical Similarity S(x,y) Propagated Similarity (cmSpTq) OS:RoadRouteInformation OGC:RailRoadRoute 0,6666667 0,766666667 OS:InformationPoint OGC:TransportationPoint 0,6052632 0,723684211 OS:InformationPoint OGC:TransportationPoint 0,6052632 0,723684211 OS:RoadPartiaRouteInformation OGC:RailRoadRoute 0,5714286 0,7 OS:road OGC:RailRoadPoint 0,5 0,65 OS:road OGC:RailRoadSegment 0,5 0,65 OS:road OGC:RailRoadSwitch 0,5 0,65 OS:InformationPoint OGC:TransportationPath 0,4166667 0,591666667 OS:InformationPoint OGC:TransportationPath 0,4166667 0,591666667 OS:roadInformationMember OGC:TransportationSegment 0,4047619 0,583333333 OS:roadLink OGC:RailRoadStation 0,4 0,58 OS:roadLink OGC:RailRoadPoint 0,4 0,58 OS:roadLink OGC:RailRoadSegment 0,4 0,58 OS:roadLink OGC:RailRoadRoute 0,4 0,58 OS:roadNode OGC:RailRoadStation 0,4 0,58 OS:roadNode OGC:RailRoadSegment 0,4 0,58 OS:roadNode OGC:RailRoadRoute 0,4 0,58 OS:roadNode OGC:RailRoadBridge 0,4 0,58 Table 2.
The source used also includes a Vendor column, as shown in the sample schema near the middle of the figure. The source context corresponds to context c3, and the requester context (c_c_usa2 in the figure) is equivalent to context c2 in the online price comparison example discussed earlier. In the demonstration, the QuoteDate field can have different date formats, which we did not include in the ontology discussed earlier but can be accommodated by adding a dateFormat modifier to Date concept in the ontology in Fig.
However the experiments have also shown that there are problems with machine based similarity assessment. (i) Thesemantic similarity of individual words does not always provide a good indicator of the semantic similarity of group words. Since class descriptions were used for similarity assessment this led to false positives in many cases. (ii) Similarly although limited word senses were evaluated based on part of speech, word sense disambiguation would help to reduce number of false negatives. Such cases explain the occurrence of high percentage change of human generated similarity values among lower values machine generated values It is also important to note that use of heuristics and threshold values is critical in order to use the semi-automatic mapping approach.