Semantic Measures: How Similar? How Related?

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Costa, T (Author) Other; José Paulo Leal (Author) FCUP

Conference proceedings International

Title: WEB ENGINEERING (ICWE 2016)

Pages: 431-438

16th International Conference on Web Engineering (ICWE)

Lugano, SWITZERLAND, JUN 06-09, 2016

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: P-00K-FDX

DOI: 10.1007/978-3-319-38791-8_29

Abstract (EN): There are two main types of semantic measures (SM): similarity and relatedness. There are also two main types of datasets, those intended for similarity evaluations and those intended for relatedness. Although they are clearly distinct, they are similar enough to generate some misconceptions. Is there a confusion between similarity and relatedness among the semantic measure community, both the designers of SMs and the creators of benchmarks? This is the question that the research presented in this paper tries to answer. Authors performed a survey of both the SMs and datasets and executed a cross evaluation of those measures and datasets. The results show different consistency of measures with datasets of the same type. This research enabled us to conclude not only that there is indeed some confusion but also to pinpoint the SMs and benchmarks less consistent with their intended type.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8