How knowledge workers use the web

Sellen, Abigail; Murphy, Rachel; Shaw, Kate L.

doi:10.1145/503376.503418

Cited by 142 publications

(77 citation statements)

References 13 publications

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“…The participants reported four main goals: collect, find, explore, and monitor. Sellen, Murphy, and Shaw (2002) studied the web activities of 24 knowledge workers over two days. Participants were interviewed in front of their of web history at the end of the second day and described the different activities in which they engaged.…”

Section: Web-based Information Seekingmentioning

confidence: 99%

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A Goal‐based Classification of Web Information Tasks

Kellar

Watters

Shepherd

2006

Proc of Assoc for Info

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While researchers have been studying user activity on the Web since its inception, there remains a lack of understanding of the high level tasks in which users engage on the Web. We have recently conducted a field study in which participants were asked to annotate all web usage with a task description and categorization. Based on our analysis of participants' recorded tasks during the field study, as well as previous research, we have developed a goal-based classification of information tasks which describes user activities on the Web.

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Section: Web-based Information Seekingmentioning

confidence: 99%

“…This classification is based on observations during the field study as well as earlier models and frameworks (Choo, Detlor and Turnbull, 2000;Morrison, Pirolli and Card, 2001;Sellen, Murphy and Shaw, 2002). In the next section, we provide an overview of the related work.…”

Section: Introductionmentioning

confidence: 99%

A Goal‐based Classification of Web Information Tasks

Kellar

Watters

Shepherd

2006

Proc of Assoc for Info

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“…Studies have been carried out to investigate the broad range of information-related activities people undertake, particularly on the web. For example, Sellen et al [17] describe six types of activity carried out on the web: finding, information gathering, browsing, transacting, communicating and housekeeping. Similarly, Kellar et al [12] use the following categories (and sub-categories): (i) information seeking (fact-finding, information gathering, browsing); (ii) information exchange (transaction and communication); and (iii) information maintenance.…”

Section: Goals Tasks and Activitiesmentioning

confidence: 99%

Europeana: What Users Search for and Why

Clough

Hill

Paramita

et al. 2017

Research and Advanced Technology for Digital Libraries

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Abstract. People use digital cultural heritage sites in different ways and for various purposes. In this paper we explore what information people search for and why when using Europeana, one of the world's largest aggregators of cultural heritage. We gathered a probability sample of 240 search requests from users via an online survey and used qualitative content analysis complemented with Shatford-Panofsky's mode/facet analysis for analysing requests to visual archives to investigate the following: (i) the broad type of search task; (ii) the subject content of searches; and (iii) motives for searching and uses of the information found. Results highlight the rich diversity of searches conducted using Europeana. Contributions include: collection and analysis of a comprehensive sample of Europeana search requests, a scheme for categorising information use, and deeper insights into the users and uses of Europeana.

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“…Previous research on the interfaces of the portals [10][11][12] have proved that regarding interface flexibility and extensibility with other semantic techniques, the viewbased paradigm provides a versatile base for search on the Semantic Web. The functionalities of the interfaces developed span the whole range of search tasks identified in recent search behavior research [13,14].…”

Section: Fig 1 Locating Shops That Sell Marmalade In Helsinkimentioning

confidence: 99%

Ontogator — A Semantic View-Based Search Engine Service for Web Applications

Mäkelä

Hyvönen

Saarela

2006

Lecture Notes in Computer Science

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Abstract. View-based search provides a promising paradigm for formulating complex semantic queries and representing results on the Semantic Web. A challenge for the application of the paradigm is the complexity of providing view-based search services through application programming interfaces (API) and web services. This paper presents a solution on how semantic view-based search can be provided efficiently through an API or as web service to external applications. The approach has been implemented as the open source tool Ontogator, that has been applied successfully in several practical semantic portals on the web. Keywords: semantic view-based search, view projection, Semantic Web middleware Interfacing Search ServicesThe Semantic Web enables querying data based on various combinations of semantic relationships. Because of the RDF data model, these queries are usually drafted as possibly complex sets of semantic relation patterns. An example would be "Find all toys manufactured in Europe in the 19th century, used by someone born in the 20th century". Here "toys", "Europe", "the 18th century", "someone" and "the 19th century" are ontological class restrictions on nodes and "manufactured in", "used by" and "time of birth" are the required connecting arcs in the pattern. While such queries are easy to formalize and query as graph patterns, they remain problematic because they are not easy for users to formulate. Therefore, much of the research in complex semantic queries has been on user interfaces [1,2] for creating complex query patterns as intuitively as possible.View-based search [3,4] is a search interface paradigm based on a longrunning library tradition of faceted classification [5]. Usability studies done on view-based search systems, such as Flamenco [6,4] and Relation Browser++ [7] have proved the paradigm both powerful and intuitive for end-users, particularly in drafting complex queries. Thus, view-based search presents a promising

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How knowledge workers use the web

Cited by 142 publications

References 13 publications

A Goal‐based Classification of Web Information Tasks

A Goal‐based Classification of Web Information Tasks

Europeana: What Users Search for and Why

Ontogator — A Semantic View-Based Search Engine Service for Web Applications

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