Context representation for web search results

Vegas, Jesús; Crestani, Fábio; Fuente, Pablo de la

doi:10.1177/0165551506067123

Cited by 16 publications

(12 citation statements)

References 18 publications

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“…Similar results are reported in the study of web search engines. Vegas et al (2007) found that users were more satisfied with search result interfaces that visualise the context of the retrieved web-pages through the use of the DocBall metaphor. Therefore, it appears that context, in the form of an item's position in the hierarchy, can increase the value of the information scent (Pirolli, 2007) communicated to users during the relevance judgment process.…”

Section: Discussionmentioning

confidence: 99%

Information Retrieval from Civil Engineering Repositories: Importance of Context and Granularity

Demian

Balatsoukas

2012

J. Comput. Civ. Eng.

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This item was submitted to Loughborough's Institutional Repository (https://dspace.lboro.ac.uk/) by the author and is made available under the following Creative Commons Licence conditions.For the full text of this licence, please go to: http://creativecommons.org/licenses/by-nc-nd/2.5 / 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 AbstractInformation about the design and construction of buildings can be structured in a particular way. This is especially correct given the increasing complexity of building product models and the emergence of Building Information Models with project documents linked to them. In addition, engineers usually have distinct information needs. Research shows that engineers working with Building Information Models place particular importance on the understanding of retrieved content before using it or applying it, and that exploration of context is essential for this understanding. Both these factors (the nature of engineering content and the information needs of engineers) make general information retrieval techniques for computing relevance and visualizing search results less applicable in civil engineering information retrieval systems. This paper argues that granularity is a fundamental concept that needs to be considered when measuring relevance and visualizing search results in information retrieval systems for repositories of building design and construction content. It is hypothesized that the design of systems with careful regard for granularity would improve engineers' relevance judgment behaviour. In order to test this hypothesis, a prototype system, called CoMem-XML, was developed and evaluated in terms of the time needed for users to find relevant information, the Manuscript (SECOND revised version) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 Demian&d Balatsoukas, Ms. No. CPENG-318 resubmitted to JCCE, September 2010 2 accuracy of their relevance judgment and their subjective satisfaction with the prototype. A user study was conducted where test subjects were asked to complete tasks using various forms of the prototype, to complete a satisfaction questionnaire, and to be interviewed. The findings show that users perform better and are more satisfied when the search result interface of the CoMem-XML system presents only relevant information in context. On the other hand, interfaces that present the retrieved information out of context (i.e. without highlighting its position in the parts hierarchy) are less effective for participants to judge relevance. KeywordsInformation retrieval, information management, knowledge management, search results, Building Information Modelli...

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Section: Discussionmentioning

confidence: 99%

Information Retrieval from Civil Engineering Repositories: Importance of Context and Granularity

Demian

Balatsoukas

2012

J. Comput. Civ. Eng.

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“…With the aid of the topic network and SNA indicators on the WikiMap interface, users can search for relevant nodes around a seed query without spending time clicking forwards and backwards to search for articles. To evaluate the effectiveness of the proposed interface, we conducted two user-oriented search tasks [17][18][19][20]; the first involved searching for a number of items, and the second involved a decision-making task. We discuss the implications of the results below.…”

Section: Discussionmentioning

confidence: 99%

“…A simulated user-oriented search task is designed to evaluate the effectiveness of the proposed interface [17][18][19][20]. The tasks are search missions that need to be accomplished; for example, users may be asked to find articles that are relevant to people in the computer field.…”

Section: Methodsmentioning

confidence: 99%

Using internal link and social network analysis to support searches in Wikipedia: A model and its evaluation

2011

Journal of Information Science

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Wikipedia, the largest multilingual free content online encyclopaedia, is the result of collaboration by countless volunteers around the world. Because of the popularity of such applications, one of the most important issues is how to alleviate information overload on the world wide web and thereby facilitate effective information search activities. Basically, Wikipedia users browse content by following hyperlinks, or they use the search function to look for information. Traditional methods cannot represent all the relationships between hypertexts; thus, users can easily change their search goals unconsciously or get lost when they explore or retrieve information. To address the above problem, we propose a link strength measure that establishes a network by analysing the internal links between articles in Wikipedia. We then apply social network analysis indicators to label the relationships between articles and identify topics to help users find required information. Based on the proposed methods, we developed an application called WikiMap. To assess its effectiveness, we conducted a task-oriented evaluation study with 28 participants who were asked to execute simulated search tasks on two interfaces: the standard Wikipedia interface and the proposed WikiMap interface. The evaluation results show that participants were more successful in executing the assigned tasks on the WikiMap interface, especially unfamiliar decision-making tasks. The exploratory research results have implications for the design of search-aided applications to help users find information in Wikipedia.

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“…The user can identify through the icon whether the source of the information is a corporate site, a news agency, a product company or a blog. Vegas et al verified that a visualization of an additional level, before the user accesses the result items of the web page level, provides the user with an idea of relevance and delivers promising results in evaluation [41]. The icon is exploited as a component of the surrogates that constitute the result item, providing an assistive visual element.…”

Section: Details On Demandmentioning

confidence: 99%

Web Search Results Visualization

Kontiza

Bikakis

2014

Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)

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Semantic search engines improve the accuracy of search results by understanding the meaning and context of terms as they appear in web documents. But do they also improve the presentation of search results? We discuss this research question and attempt to address it by evaluating two semantic search engines: Sig.ma and Kngine. Our analysis is based on the theory and methods of explorative evaluation studies, the inspection evaluation approach in information visualization, user-oriented evaluation studies, and on quantitative data analysis. Our main conclusion is that visualization used in semantic search engines improves the understanding of search results and the overall search experience by exploiting the semantics of web data.

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Context representation for web search results

Cited by 16 publications

References 18 publications

Information Retrieval from Civil Engineering Repositories: Importance of Context and Granularity

Information Retrieval from Civil Engineering Repositories: Importance of Context and Granularity

Using internal link and social network analysis to support searches in Wikipedia: A model and its evaluation

Web Search Results Visualization

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