Semantics representation in a sentence with concept relational model (CRM)
The current way of representing semantics or meaning in a sentence is by using the conceptual graphs.Conceptual graphs define concepts and conceptual relations loosely. This causes ambiguity because a word can be classified as a concept or relation. Ambiguity disrupts the process of recognizing gra...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/11291/1/112-116-CR80.pdf |
| _version_ | 1803626211451076608 |
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| author | Abdullah, Rusli Abdul Hamid, Jamaliah Selamat, Mohd. Hasan Ibrahim, Hamidah Ungku Chulan, Ungku Azmi |
| author_facet | Abdullah, Rusli Abdul Hamid, Jamaliah Selamat, Mohd. Hasan Ibrahim, Hamidah Ungku Chulan, Ungku Azmi |
| author_sort | Abdullah, Rusli |
| collection | UUM |
| description | The current way of representing semantics or meaning in a sentence is by using the conceptual graphs.Conceptual graphs define concepts and conceptual relations loosely.
This causes ambiguity because a word can be classified as a concept or relation. Ambiguity disrupts the process of recognizing graphs similarity, rendering difficulty to
multiple graphs interaction. Relational flow is also altered in conceptual graphs when additional linguistic information is input. Inconsistency of relational flow is caused by the bipartite structure of conceptual graphs that only allows the representation of connection between concept and relations but never between relations per se.To overcome the problem of ambiguity, the concept
relational model (CRM) described in this article strictly organizes word classes into three main categories; concept, relation and attribute. To do so, CRM begins by tagging the
words in text and proceeds by classifying them according to a predefined mapping. In addition, CRM maintains the consistency of the relational flow by allowing connection
between multiple relations as well.CRM then uses a set of canonical graphs to be worked on these newly classified components for the representation of semantics.The overall
result is better accuracy in text engineering related task like relation extraction. |
| first_indexed | 2024-07-04T05:46:34Z |
| format | Conference or Workshop Item |
| id | uum-11291 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:46:34Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | uum-112912014-06-08T04:54:42Z https://repo.uum.edu.my/id/eprint/11291/ Semantics representation in a sentence with concept relational model (CRM) Abdullah, Rusli Abdul Hamid, Jamaliah Selamat, Mohd. Hasan Ibrahim, Hamidah Ungku Chulan, Ungku Azmi QA Mathematics The current way of representing semantics or meaning in a sentence is by using the conceptual graphs.Conceptual graphs define concepts and conceptual relations loosely. This causes ambiguity because a word can be classified as a concept or relation. Ambiguity disrupts the process of recognizing graphs similarity, rendering difficulty to multiple graphs interaction. Relational flow is also altered in conceptual graphs when additional linguistic information is input. Inconsistency of relational flow is caused by the bipartite structure of conceptual graphs that only allows the representation of connection between concept and relations but never between relations per se.To overcome the problem of ambiguity, the concept relational model (CRM) described in this article strictly organizes word classes into three main categories; concept, relation and attribute. To do so, CRM begins by tagging the words in text and proceeds by classifying them according to a predefined mapping. In addition, CRM maintains the consistency of the relational flow by allowing connection between multiple relations as well.CRM then uses a set of canonical graphs to be worked on these newly classified components for the representation of semantics.The overall result is better accuracy in text engineering related task like relation extraction. 2008-06-10 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/11291/1/112-116-CR80.pdf Abdullah, Rusli and Abdul Hamid, Jamaliah and Selamat, Mohd. Hasan and Ibrahim, Hamidah and Ungku Chulan, Ungku Azmi (2008) Semantics representation in a sentence with concept relational model (CRM). In: Knowledge Management International Conference 2008 (KMICe2008), 10-12 June 2008, Langkawi, Malaysia. http://www.kmice.uum.edu.my |
| spellingShingle | QA Mathematics Abdullah, Rusli Abdul Hamid, Jamaliah Selamat, Mohd. Hasan Ibrahim, Hamidah Ungku Chulan, Ungku Azmi Semantics representation in a sentence with concept relational model (CRM) |
| title | Semantics representation in a sentence with
concept relational model (CRM) |
| title_full | Semantics representation in a sentence with
concept relational model (CRM) |
| title_fullStr | Semantics representation in a sentence with
concept relational model (CRM) |
| title_full_unstemmed | Semantics representation in a sentence with
concept relational model (CRM) |
| title_short | Semantics representation in a sentence with
concept relational model (CRM) |
| title_sort | semantics representation in a sentence with concept relational model crm |
| topic | QA Mathematics |
| url | https://repo.uum.edu.my/id/eprint/11291/1/112-116-CR80.pdf |
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