Searching and Generating Authoring Information: A Hybrid Approach

Searching and Generating Authoring Information: A Hybrid Approach

Faisal Alkhateeb (Yarmouk University, Jordan), Amal Alzubi (Yarmouk University, Jordan), Iyad Abu Doush (Yarmouk University, Jordan), Shadi Aljawarneh (Isra University, Jordan) and Eslam Al Maghayreh (Yarmouk University, Jordan)
DOI: 10.4018/jitwe.2011070101
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In this paper, the authors propose a novel approach to search and retrieve authoring information from online authoring databases. The proposed approach combines keywords and semantic-based methods. In this approach, the user can retrieve such information considering some specified keywords and ignore how the internal semantic search is being processed. The keywords entered by the user are internally converted by the system to a semantic query that will be used to search the requested information. The authors then use (X)HTML-based templates for the automatic construction of BibTeX elements from the query results.
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Traditional search engines use keywords as their search basis. Semantic search applies semantic processing on keywords for a better retrieval search. Hybrid search utilizes the keyword search from regular search along with the ability to use semantic search to query and reason using Meta data. Using ontologies, the search engines can find pages that have different syntax but similar semantics (Decker et al., 2000).

The hybrid search provided users with more capabilities for searching and reasoning to obtain enhanced results. According to Bhagdev et al. (2008) there are three types of queries using hybrid search:

  • Semantic search using the defined Meta data and the relations between instances.

  • Regular search using keywords.

  • Search for keywords within a specific content.

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