An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges
Since the last two decades, XML has gained momentum as the standard for web information management and complex data representation. Also, collaboratively built semi-structured information resources, such as Wikipedia, have become prevalent on the Web and can be inherently encoded in XML. Yet most me...
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2016
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| Online Access: | http://hdl.handle.net/10725/5080 http://dx.doi.org/10.1006/bbrc.1994.188310.1109/TKDE.2016.2525768 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7398037/ |
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| _version_ | 1864513465010356224 |
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| author | Tekli, Joe |
| author_facet | Tekli, Joe |
| author_role | author |
| dc.creator.none.fl_str_mv | Tekli, Joe |
| dc.date.none.fl_str_mv | 2016 2016-06-01 2017-01-27T07:54:11Z 2017-01-27T07:54:11Z |
| dc.identifier.none.fl_str_mv | 1041-4347 http://hdl.handle.net/10725/5080 http://dx.doi.org/10.1006/bbrc.1994.188310.1109/TKDE.2016.2525768 Tekli, J. (2016). An overview on xml semantic disambiguation from unstructured text to semi-structured data: Background, applications, and ongoing challenges. IEEE Transactions on Knowledge and Data Engineering, 28(6), 1383-1407. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7398037/ |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | IEEE Transactions on Knowledge and Data Engineering |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Since the last two decades, XML has gained momentum as the standard for web information management and complex data representation. Also, collaboratively built semi-structured information resources, such as Wikipedia, have become prevalent on the Web and can be inherently encoded in XML. Yet most methods for processing XML and semi-structured information handle mainly the syntactic properties of the data, while ignoring the semantics involved. To devise more intelligent applications, one needs to augment syntactic features with machine-readable semantic meaning. This can be achieved through the computational identification of the meaning of data in context, also known as (a.k.a.) automated semantic analysis and disambiguation, which is nowadays one of the main challenges at the core of the Semantic Web. This survey paper provides a concise and comprehensive review of the methods related to XML-based semi-structured semantic analysis and disambiguation. It is made of four logical parts. First, we briefly cover traditional word sense disambiguation methods for processing flat textual data. Second, we describe and categorize disambiguation techniques developed and extended to handle semi-structured and XML data. Third, we describe current and potential application scenarios that can benefit from XML semantic analysis, including: data clustering and semantic-aware indexing, data integration and selective dissemination, semantic-aware and temporal querying, web and mobile services matching and composition, blog and social semantic network analysis, and ontology learning. Fourth, we describe and discuss ongoing challenges and future directions, including: the quantification of semantic ambiguity, expanding XML disambiguation context, combining structure and content, using collaborative/social information sources, integrating explicit and implicit semantic analysis, emphasizing user involvement, and reducing computational complexity. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_45acb5f04cd93ca46a8b0cc2dfdefdc1 |
| identifier_str_mv | 1041-4347 Tekli, J. (2016). An overview on xml semantic disambiguation from unstructured text to semi-structured data: Background, applications, and ongoing challenges. IEEE Transactions on Knowledge and Data Engineering, 28(6), 1383-1407. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/5080 |
| publishDate | 2016 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing ChallengesTekli, JoeSince the last two decades, XML has gained momentum as the standard for web information management and complex data representation. Also, collaboratively built semi-structured information resources, such as Wikipedia, have become prevalent on the Web and can be inherently encoded in XML. Yet most methods for processing XML and semi-structured information handle mainly the syntactic properties of the data, while ignoring the semantics involved. To devise more intelligent applications, one needs to augment syntactic features with machine-readable semantic meaning. This can be achieved through the computational identification of the meaning of data in context, also known as (a.k.a.) automated semantic analysis and disambiguation, which is nowadays one of the main challenges at the core of the Semantic Web. This survey paper provides a concise and comprehensive review of the methods related to XML-based semi-structured semantic analysis and disambiguation. It is made of four logical parts. First, we briefly cover traditional word sense disambiguation methods for processing flat textual data. Second, we describe and categorize disambiguation techniques developed and extended to handle semi-structured and XML data. Third, we describe current and potential application scenarios that can benefit from XML semantic analysis, including: data clustering and semantic-aware indexing, data integration and selective dissemination, semantic-aware and temporal querying, web and mobile services matching and composition, blog and social semantic network analysis, and ontology learning. Fourth, we describe and discuss ongoing challenges and future directions, including: the quantification of semantic ambiguity, expanding XML disambiguation context, combining structure and content, using collaborative/social information sources, integrating explicit and implicit semantic analysis, emphasizing user involvement, and reducing computational complexity.PublishedN/A2017-01-27T07:54:11Z2017-01-27T07:54:11Z20162016-06-01Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1041-4347http://hdl.handle.net/10725/5080http://dx.doi.org/10.1006/bbrc.1994.188310.1109/TKDE.2016.2525768Tekli, J. (2016). An overview on xml semantic disambiguation from unstructured text to semi-structured data: Background, applications, and ongoing challenges. IEEE Transactions on Knowledge and Data Engineering, 28(6), 1383-1407.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://ieeexplore.ieee.org/abstract/document/7398037/enIEEE Transactions on Knowledge and Data Engineeringinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/50802024-08-09T08:54:48Z |
| spellingShingle | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges Tekli, Joe |
| status_str | publishedVersion |
| title | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges |
| title_full | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges |
| title_fullStr | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges |
| title_full_unstemmed | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges |
| title_short | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges |
| title_sort | An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges |
| url | http://hdl.handle.net/10725/5080 http://dx.doi.org/10.1006/bbrc.1994.188310.1109/TKDE.2016.2525768 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7398037/ |