TY - GEN
T1 - Empowering users to explore subject knowledge by aggregating search interfaces
AU - Wu, I. Chin
AU - Kao, Cheng
AU - Chiou, Shao Syuan
PY - 2014
Y1 - 2014
N2 - Due to the popularity of link-based applications, one of the most important issues in web searching is how to retrieve information effectively from multiple sources. Consider Wikipedia as an example; users browse content by following hyperlinks from one page to another. A regular hyperlink states that there are some relationships between the two pages. Search engines like Google successfully use this type of information to rank pages in keyword search scenarios. Wikipedia can go even beyond that as a link is interpreted as the semantic relations between two concepts described within articles. Search engines and web-based, free-content encyclopedias have become key tools for finding and extracting useful information from the tremendous amounts of data that are available online. We extended our previous application, WNavi s , by integrating the search function with the term and semantic path suggestion techniques for aggregated searches. Note that research into aggregated searches (integrated searches) addresses the issues of presenting to users a result list with information from various websites and media types. Accordingly, the WikiMap# application, extended from our previous application, WNavis, was developed. Finally, we proposed our preliminary research design and extended evaluation measures in this study.
AB - Due to the popularity of link-based applications, one of the most important issues in web searching is how to retrieve information effectively from multiple sources. Consider Wikipedia as an example; users browse content by following hyperlinks from one page to another. A regular hyperlink states that there are some relationships between the two pages. Search engines like Google successfully use this type of information to rank pages in keyword search scenarios. Wikipedia can go even beyond that as a link is interpreted as the semantic relations between two concepts described within articles. Search engines and web-based, free-content encyclopedias have become key tools for finding and extracting useful information from the tremendous amounts of data that are available online. We extended our previous application, WNavi s , by integrating the search function with the term and semantic path suggestion techniques for aggregated searches. Note that research into aggregated searches (integrated searches) addresses the issues of presenting to users a result list with information from various websites and media types. Accordingly, the WikiMap# application, extended from our previous application, WNavis, was developed. Finally, we proposed our preliminary research design and extended evaluation measures in this study.
KW - Aggregated Search
KW - Information Visualization
KW - Interactive Information Retrieval
KW - Semantic Paths
UR - http://www.scopus.com/inward/record.url?scp=84903732481&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903732481&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07293-7_26
DO - 10.1007/978-3-319-07293-7_26
M3 - Conference contribution
AN - SCOPUS:84903732481
SN - 9783319072920
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 266
EP - 276
BT - HCI in Business - First International Conference, HCIB 2014, Held as Part of HCI International 2014, Proceedings
PB - Springer Verlag
T2 - 1st International Conference on HCI in Business, HCIB 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014
Y2 - 22 June 2014 through 27 June 2014
ER -