Enhanced normalization approach addressing stop-word complexity in compound-word schema labels
An extensive review of the existing schema matching approaches discovered an area of improvement in the field of semantic schema matching. Normalization and lexical annotation methods using WordNet have been somewhat successful in general cases. However, in the presence of stop-words these approach...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publication Network
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/61723/1/Enhanced%20normalization%20approach%20addressing%20stop-word%20complexity%20.pdf |
| _version_ | 1825932380959932416 |
|---|---|
| author | Hossain, Jafreen Mohd Sani, Nor Fazlida Affendey, Lilly Suriani Ishak, Iskandar Kasmiran, Khairul Azhar |
| author_facet | Hossain, Jafreen Mohd Sani, Nor Fazlida Affendey, Lilly Suriani Ishak, Iskandar Kasmiran, Khairul Azhar |
| author_sort | Hossain, Jafreen |
| collection | UPM |
| description | An extensive review of the existing schema matching approaches discovered an area of improvement in the
field of semantic schema matching. Normalization and lexical annotation methods using WordNet have been somewhat successful in general cases. However, in the presence of stop-words these approaches result in poor accuracy. Stop-words have previously been ignored in most studies resulting in false negative conclusions. This paper proposes NORMSTOP (NORMalizer of schemata having STOP-words) as an improved schema normalization approach that addresses the complexity of stop-words (e.g. ‘by’, ‘at’, ‘and,’ or’) in Compound Word (CW) schema labels. Using a combined set of WordNet features, NORMSTOP isolates these labels during the preprocessing stage and resets the base-form to a relevant WordNet term, or an annotable compound noun. When tested on the same real dataset used in the earlier approach - (NORMS or NORMalizer of Schemata), NORMSTOP shows up to 13% improvement in annotation recall measurement. This level of improvement takes the overall schema matching process another step closer to perfect accuracy; while its absence exposes a gap in expectation, especially in today’s databases, where stop-words are in abundance. |
| first_indexed | 2024-03-06T09:41:09Z |
| format | Article |
| id | upm.eprints-61723 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:41:09Z |
| publishDate | 2017 |
| publisher | Asian Research Publication Network |
| record_format | dspace |
| spelling | upm.eprints-617232019-01-10T08:15:53Z http://psasir.upm.edu.my/id/eprint/61723/ Enhanced normalization approach addressing stop-word complexity in compound-word schema labels Hossain, Jafreen Mohd Sani, Nor Fazlida Affendey, Lilly Suriani Ishak, Iskandar Kasmiran, Khairul Azhar An extensive review of the existing schema matching approaches discovered an area of improvement in the field of semantic schema matching. Normalization and lexical annotation methods using WordNet have been somewhat successful in general cases. However, in the presence of stop-words these approaches result in poor accuracy. Stop-words have previously been ignored in most studies resulting in false negative conclusions. This paper proposes NORMSTOP (NORMalizer of schemata having STOP-words) as an improved schema normalization approach that addresses the complexity of stop-words (e.g. ‘by’, ‘at’, ‘and,’ or’) in Compound Word (CW) schema labels. Using a combined set of WordNet features, NORMSTOP isolates these labels during the preprocessing stage and resets the base-form to a relevant WordNet term, or an annotable compound noun. When tested on the same real dataset used in the earlier approach - (NORMS or NORMalizer of Schemata), NORMSTOP shows up to 13% improvement in annotation recall measurement. This level of improvement takes the overall schema matching process another step closer to perfect accuracy; while its absence exposes a gap in expectation, especially in today’s databases, where stop-words are in abundance. Asian Research Publication Network 2017-06 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61723/1/Enhanced%20normalization%20approach%20addressing%20stop-word%20complexity%20.pdf Hossain, Jafreen and Mohd Sani, Nor Fazlida and Affendey, Lilly Suriani and Ishak, Iskandar and Kasmiran, Khairul Azhar (2017) Enhanced normalization approach addressing stop-word complexity in compound-word schema labels. Journal of Theoretical and Applied Information Technology, 95 (12). pp. 2635-2646. ISSN 1992-8645; ESSN: 1817-3195 http://www.jatit.org/volumes/ninetyfive12.php |
| spellingShingle | Hossain, Jafreen Mohd Sani, Nor Fazlida Affendey, Lilly Suriani Ishak, Iskandar Kasmiran, Khairul Azhar Enhanced normalization approach addressing stop-word complexity in compound-word schema labels |
| title | Enhanced normalization approach addressing stop-word complexity in compound-word schema labels |
| title_full | Enhanced normalization approach addressing stop-word complexity in compound-word schema labels |
| title_fullStr | Enhanced normalization approach addressing stop-word complexity in compound-word schema labels |
| title_full_unstemmed | Enhanced normalization approach addressing stop-word complexity in compound-word schema labels |
| title_short | Enhanced normalization approach addressing stop-word complexity in compound-word schema labels |
| title_sort | enhanced normalization approach addressing stop word complexity in compound word schema labels |
| url | http://psasir.upm.edu.my/id/eprint/61723/1/Enhanced%20normalization%20approach%20addressing%20stop-word%20complexity%20.pdf |
| work_keys_str_mv | AT hossainjafreen enhancednormalizationapproachaddressingstopwordcomplexityincompoundwordschemalabels AT mohdsaninorfazlida enhancednormalizationapproachaddressingstopwordcomplexityincompoundwordschemalabels AT affendeylillysuriani enhancednormalizationapproachaddressingstopwordcomplexityincompoundwordschemalabels AT ishakiskandar enhancednormalizationapproachaddressingstopwordcomplexityincompoundwordschemalabels AT kasmirankhairulazhar enhancednormalizationapproachaddressingstopwordcomplexityincompoundwordschemalabels |