An Effective Document Search Technique by Semantic Relationship Approach

Chatvichienchai, Somchai; Tanaka, Katsumi

doi:10.1109/iccit.2009.11

Cited by 3 publications

(5 citation statements)

References 8 publications

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“…Nyamsuren and Choi [18] propose the creation of a semantic model of the document, an ontology-like structured semantic annotation of the document with support for structured querying. On another hand, Chatvichienchai and Tanaka [19] refer to the problematic of finding digital documents in an office large repository. The authors present a technique that collects search terms and their semantic relationship from the documents of some office applications to generate the XML-based search indices that can effectively locate the office documents.…”

Section: Related Concepts Backgroundmentioning

confidence: 99%

A Fuzzy Algorithm for Optimizing Semantic Documental Searches

Paiva

2013

Procedia Technology

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Search for documents is a common and pertinent task lots of organizations face every day as well as common Internet users in their daily searches. One specific document search is scientific paper search in reference manager systems such as Mendeley or IEEExplore. Considering the difficult task finding documents can sometimes represent, semantic search is currently being applied to improve this type of search. As the act of deciding if a document is a good result for a given search expression is vague, fuzziness becomes an important aspect when defining search algorithms. In this paper, we present a fuzzy algorithm for improving documental searches optimized for specific scenarios where we want to find a document but don´t remember the exact words used, if plural our singular words were used or if a synonym was used. We also present the application of this algorithm to a real scenario comparing to Mendeley results.

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Section: Related Concepts Backgroundmentioning

confidence: 99%

A Fuzzy Algorithm for Optimizing Semantic Documental Searches

Paiva

2013

Procedia Technology

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“…In addition, Chatvichienchai and Tanaka (2009) came up with another search technique where their queries were built according to document type, search terms and their semantic relationship. In their research, they experimented on Microsoft office applications and they built an XML-based search indexes which collected the search terms from office applications and found their semantic relationship to generate an effective search to locate the specific document.…”

Section: Early Studies On Irsmentioning

confidence: 99%

“…In the authors' view, each document should satisfy the theme of query, and the theme of document should be related to the query as well. In other words, ranking or similarity of documents occurs by calculating the distance between the query and the document, and all the retrieved documents are ranked or ordered based on the distance with its query (Ansari, 2005;Chatvichienchai and Tanaka, 2009;Huang and Zhang, 2010;Kettani and Newby, 2010). Chowdhury (2010) stated that there have been five major areas of evaluation done since 1953 on IRS, and most of those are centered on indexing language, search technique, output ranking, term weighing and cost effectiveness.…”

Section: Ranking Mechanism Of Irs and Rsvmentioning

confidence: 99%

“…Through all the reviews, it is perceived that the IRS is important in aspects of storing information and documents as well as retrieving precise results. But no evaluation method was found to have been generated on any Islamic database's performance on retrieving Islamic works and publications like what was done on Microsoft office applications by Chatvichienchai and Tanaka (2009) to solve high recall and low precision problem in finding office document in large databases; experiments of Abdulahhad et al (2011Abdulahhad et al ( , 2012aAbdulahhad et al ( , 2012b by RSV method on a medical database which contains medical images through documents; examining match between assigned descriptors and medical theses by Ansari (2005) and Dinh's et al (2013) research on effectiveness on biomedical indexing and retrieval based terminologies as well as researches on Index Islamicus like Kopycki (2003), Anwar (2001) and Salim et al (2010). There were few researches done on Index Islamicus but they were not specifically on the same objectives as this research that has been aimed to measure RSV or assessment of ranking mechanism.…”

Section: Ranking Mechanism Of Irs and Rsvmentioning

confidence: 99%

See 1 more Smart Citation

Relevance status value model of Index Islamicus on Islamic History and Civilizations

Othman

Salahuddin

2015

International Journal of Web Information Systems

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Purpose – The purposes of this study were to measure the relevance status of Index Islamicus, evaluate the semantic correlation between a query and documents and inquire the basis of its rank. Sorting the retrieved results from the most relevant to the least relevant is the common option of an information retrieval system. This sorting mechanism or relevance judgment is computed by measuring closeness of query with its documents. Design/methodology/approach – Forming up 100 queries on Islamic History and Civilizations, with two indexing elements (keyword and concept), a laboratory experiment was generated on its first ten items of the rank. Throughout an experimental research design, the relevance status value formula was used to measure system-computed rank and compare it with mean average precision. Findings – The results showed that the average status value of Index Islamicus’s ranking on relevance criterion was 18 per cent effective in terms of retrieving precise documents. Despite the main focus of this study being only on one subject domain and the items calculated were only 1,000, this small percentage of its ranking mechanism proved that semantic correlations between queries with subject domain did not achieve the satisfactory level. Research limitations/implications – Implication of this study could be a guideline for further research on ranking mechanism of other search engines because the limitation of this study was Index Islamicus being the only database, which was the focus of this study. Practical implications – Throughout this study, Index Islamicus would be benefited knowing the status of its ranking mechanism as well as other databases can make further research on their own ranking method following this study. Social implications – Researchers and vendors of online databases can ensure their users a true platform of search engine with a proper ranking list. Originality/value – Relevance status value model for Index Islamicus on Islamic History and Civilization that allows the system to rank documents according to the match between document and query and gives the idea of a better index. The model improves the system’s ranking mechanism, and promotes the use of semantic relationships. This research promotes the computation of relevance status value by domain for capturing subject-specific relevance criteria and semantic relationships.

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“…Nyamsuren and Choi (2009) propose the creation of a semantic model of the document, an ontology-like structured semantic annotation of the document with support for structured querying. On another hand, Chatvichienchai and Tanaka (2009) refer to the problematic of finding digital documents in an office large repository. The authors present a technique that collects search terms and their semantic relationship from the documents of some office applications to generate the XML-based search indices that can effectively locate the office documents.…”

Section: From Information Retrieval Systems To Semantic Webmentioning

confidence: 99%

A Fuzzy Algorithm for Optimizing Semantic Documental Searches

Paiva

2014

International Journal of Web Portals

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Search for documents is a common and pertinent task lots of organizations face every day as well as common Internet users in their daily searches. One specific document search is scientific paper search in reference manager systems such as Mendeley or IEEExplore. Considering the difficult task finding documents can sometimes represent, semantic search is currently being applied to improve this type of search. As the act of deciding if a document is a good result for a given search expression is vague, fuzziness becomes an important aspect when defining search algorithms. In this paper, the author present a fuzzy algorithm for improving documental searches optimized for specific scenarios where we want to find a document but don´t remember the exact words used, if plural or singular words were used or if a synonym was used. The author also present the application of this algorithm to a real scenario comparing to Mendeley and IEEExplore results.

show abstract

An Effective Document Search Technique by Semantic Relationship Approach

Cited by 3 publications

References 8 publications

A Fuzzy Algorithm for Optimizing Semantic Documental Searches

A Fuzzy Algorithm for Optimizing Semantic Documental Searches

Relevance status value model of Index Islamicus on Islamic History and Civilizations

A Fuzzy Algorithm for Optimizing Semantic Documental Searches

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