Search (263 results, page 1 of 14)

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Abstract

Describes and evaluates the proximity search facilities in external online systems and in-house retrieval software. Discusses and illustrates capabilities, syntax and circumstances of use. Presents measurements of the overheads required by proximity for storage, record input time and search time. The search strategy narrowing effect of proximity is illustrated by recall and precision test results. Usage and problems lead to a number of design ideas for better implementation: some based on existing Boolean strategies, one on the use of weighted proximity to automatically produce ranked output. A comparison of Boolean, quorum and proximate term pairs distance is included

Source

Journal of information science. 18(1992), S.89-98

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Abstract

Both user involvement and system support play important roles in applying search tactics. To apply search tactics in the information retrieval (IR) processes, users make decisions and take actions in the search process, while IR systems assist them by providing different system features. After analyzing 61 participants' information searching diaries and questionnaires we identified various types of user involvement and system support in applying different types of search tactics. Based on quantitative analysis, search tactics were classified into 3 groups: user-dominated, system-dominated, and balanced tactics. We further explored types of user involvement and types of system support in applying search tactics from the 3 groups. The findings show that users and systems play major roles in applying user-dominated and system-dominated tactics, respectively. When applying balanced tactics, users and systems must collaborate closely with each other. In this article, we propose a model that illustrates user involvement and system support as they occur in user-dominated tactics, system-dominated tactics, and balanced tactics. Most important, IR system design implications are discussed to facilitate effective and efficient applications of the 3 groups of search tactics.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1165-1185

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Abstract

Understanding users' search behavior has largely relied on the information available from search engine logs, which provide limited information about the contextual factors affecting users' behavior. Consequently, questions such as how users' intentions, task goals, and substances of the users' tasks affect search behavior, as well as what triggers information needs, remain largely unanswered. We report an experiment in which naturalistic information search behavior was captured by analyzing 24/7 continuous recordings of information on participants' computer screens. Written task diaries describing the participants' tasks were collected and used as real-life task contexts for further categorization. All search tasks were extracted and classified under various task categories according to users' intentions, task goals, and substances of the tasks. We investigated the effect of different task categories on three behavioral factors: search efforts, content-triggers, and application context. Our results suggest four findings: (i) Search activity is integrally associated with the users' creative processes. The content users have seen prior to searching more often triggers search, and is used as a query, within creative tasks. (ii) Searching within intellectual and creative tasks is more time-intensive, while search activity occurring as a part of daily routine tasks is associated with more frequent searching within a search task. (iii) Searching is more often induced from utility applications in tasks demanding a degree of intellectual effort. (iv) Users' leisure information-seeking activity is occurring inherently within social media services or comes from social communication platforms. The implications of our findings for information access and management systems are discussed.

Source

Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1248-1261

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Abstract

In this paper results of a field study into the need for research information of different user groups are presented: scientists, policy makers and policy researchers, industry and media. Main questions of semi-structured interviews were: what kind of research information users need, what kind of research information resources are used and which information resources are missing at the moment. User groups are missing for a diversity of reasons the overview of research, experts and institutes in the different scientific fields. Especially for the accessibility and transparency of the scientific world these overviews are reported to be needed. Neither Google nor any of the research institutes or policy research organisations are able to present surveys for different science fields at the moment. Giving users the possibility to search, browse and navigate through accessible and more specialised layers of research information might give answers to different user groups simultaneously.

Date

2. 7.2005 12:22:50

Source

Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase

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Abstract

Most information systems share a common assumption: information seeking is discrete. Such an assumption neither reflects real-life information seeking processes nor conforms to the perspective of phenomenology, "life is a journey constituted by continuous acquisition of knowledge." Thus, this study develops and validates a theoretical model that explains successive search experience for essentially the same information problem. The proposed model is called Multiple Information Seeking Episodes (MISE), which consists of four dimensions: problematic situation, information problem, information seeking process, episodes. Eight modes of multiple information seeking episodes are identified and specified with properties of the four dimensions of MISE. The results partially validate MISE by finding that the original MISE model is highly accurate, but less sufficient in characterizing successive searches; all factors in the MISE model are empirically confirmed, but new factors are identified as weIl. The revised MISE model is shifted from the user-centered to the interaction-centered perspective, taking into account factors of searcher, system, search activity, search context, information attainment, and information use activities.

Date

10. 4.2005 14:52:22

Source

Journal of the American Society for Information Science and Technology. 56(2005) no.4, S.393-415

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Abstract

Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1111-1123

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Abstract

In information needs, seeking and use (INSU) research, individuals have most commonly been perceived as users (e.g., Kuhlthau, 1991; Dervin & Nilan, 1986; Dervin, 1989; Belkin, 1980). The concept user originates from the user of libraries and other information services and information systems. Over the years the scope of the concept has become wider and it is nowadays often understood in the sense of seekers of information (e.g., Wilson, 1981; Marchionini, 1995) and users of information (e.g., Streatfield, 1983). Nevertheless, the concept has remained ambiguous by being on the one hand universal and on the other hand extremely specific. The purpose of this paper is to map and evaluate views on people whose information behaviour has been in one way or another the core of our research area. The goal is to shed some light on various relationships between the different aspects of doers in INSU studies. The paper is inspired by Dervin's (1997) analysis of context where she identified among other themes the nature of subject by contrasting a `transcendental individual' with a `decentered subject', and Talja's (1997) presentation about constituting `information' and `user' from the discourse analytic viewpoint as opposed to the cognitive viewpoint. Instead of the metatheoretical approach applied by Dervin and Talja, a more concrete approach is valid in the present analysis where no direct arguments for or against the underlying metatheories are itemised. The focus is on doers in INSU studies leaving other, even closely-related concepts (i.e., information, information seeking, knowledge etc.), outside the scope of the paper.

Date

22. 3.2002 9:55:52

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, Sheffield, UK, 1998. Ed. by D.K. Wilson u. D.K. Allen

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Abstract

Reports on a study of the search tactics used in searching the WWW and in dealing with difficulties such as too many postings and no relevant postings. Describes how the study was carried out, the analytical techniques used in it, and the results. Notes that with regard to tactics used to address search difficulties, no differences were found between searchers for texts and those for graphic information, and between those for known items and subject searches. Comments on the similarities and differences between the tactics used and and those used in online searching, including online catalogue searching

Date

25.12.1998 19:22:31

Footnote

Part of an issue devoted to electronic resources and their use in libraries, from the viewpoint of reference services, with an emphasis on the Internet and Geographic Information Systems

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Abstract

Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.

Content

"Web searching is different from searching commercial IR systems. We can learn from search strategies recommended for searching IR systems, but most won't be effective for Web searching. Web searchers need strate gies that let search engines do the job they were designed to do. This article presents six new Web searching strategies that do just that."

Date

22. 9.1997 19:16:05

Imprint

Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science

Source

Saving the time of the library user through subject access innovation: Papers in honor of Pauline Atherton Cochrane. Ed.: W.J. Wheeler

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Abstract

Past trends in reference instruction, query analysis and proloferation of reference tools classed by primary functions into a general typology anticipated the use of paradigm logic, templates, search strategies, and systematic searching in applied Artificial Intelligence research and design of expert system, especially referral and decision-support systems. The approach, methodologies, and technique employed in basic reference and subject-area reference instruction in four graduate library schools, developed first at the University of Maryland after 1976, are reviewed. The advantages and limitations of the latter are discussed to suggest the interplay of personal service, manual tools, and computerized systems for holistic reference programs. Librarians' transition to the automated tools using AI methods might be improved by introducing paradigms, typologies, strategies, and a systems approach in reference instruction for professionals and more generally in bibliographic instruction

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Abstract

Research has demonstrated that people engage in multiple types of information-seeking strategies when using IR systems; unfortunately, current IR systems are designed to support only one type of information-seeking strategy: specifying queries. The limitation of existing IR systems calls for the need to investigate how to support users as they shift from one information-seeking strategy to another in their attemps to achieve their information-seeking goals. The focus of this study is on the in-depth investigation of shifts in the mico-level of user goals - 'interactive intention' and information-seeking strategies that users engage in within an information-seeking episode. 40 cases of library uses were selected from 4 different types of libraries for this study. The qualitative and quantitative analysis of the data identifies 4 types of shifts of interactive intentions and 3 types of information-seeking strategies. The results of the study are discussed to understand the nature of the interactive IR process, and to further suggest their implications for the design of adaptive IR systems

Source

Journal of the American Society for Information Science. 51(2000) no.9, S.841-857

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Abstract

Purpose A new approach to investigate serendipitous knowledge discovery (SKD) of health information is developed and tested to evaluate the information flow-serendipitous knowledge discovery (IF-SKD) model. The purpose of this paper is to determine the degree to which IF-SKD reflects physicians' information behaviour in a clinical setting and explore how the information system, Spark, designed to support physicians' SKD, meets its goals. Design/methodology/approach The proposed pre-experimental study design employs an adapted version of the McCay-Peet's (2013) and McCay-Peet et al.'s (2015) serendipitous digital environment (SDE) questionnaire research tool to address the complexity associated with defining the way in which SKD is understood and applied in system design. To test the IF-SKD model, the new data analysis approach combining confirmatory factor analysis, data imputation and Monte Carlo simulations was developed. Findings The piloting of the proposed novel analysis approach demonstrated that small sample information behaviour survey data can be meaningfully examined using a confirmatory factor analysis technique. Research limitations/implications This method allows to improve the reliability in measuring SKD and the generalisability of findings. Originality/value This paper makes an original contribution to developing and refining methods and tools of research into information-system-supported serendipitous discovery of information by health providers.

Date

20. 1.2015 18:30:22

Source

Aslib journal of information management. 71(2019) no.6, S.755-772

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Abstract

Although modern search systems require minimal skill for meeting simple information needs, most systems provide weak support for gaining advanced skill; hence, the goal of designing systems that guide searchers in developing expertise. Essential to developing such systems are a description of expert search behavior and an understanding of how it may be acquired. The present study contributes a detailed analysis of the query behavior of 10 students as they completed assigned exercises during a semester-long course on expert search. Detailed query logs were coded for three dimensions of query expression: the information structure searched, the type of query term used, and intent of the query with respect to specificity. Patterns of query formulation were found to evidence a progression of instruction, suggesting that the students gained knowledge of fundamental system-independent constructs that underlie expert search, and that domain-independent search expertise may be defined as the ability to use these constructs. Implications for system design are addressed.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.6, S.1462-1479

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Abstract

This study explores how user subject knowledge influences search task processes and outcomes, as well as how search behavior is influenced by subject-oriented information visualization (IV) tools. To enable integrated searches, the proposed WikiMap + integrates search functions and IV tools (i.e., a topic network and hierarchical topic tree) and gathers information from Wikipedia pages and Google Search results. To evaluate the effectiveness of the proposed interfaces, we design subject-oriented tasks and adopt extended evaluation measures. We recruited 48 novices and 48 knowledgeable users, that is, intermediates, for the evaluation. Our results show that novices using the proposed interface demonstrate better search performance than intermediates using Wikipedia. We therefore conclude that our tools help close the gap between novices and intermediates in information searches. The results also show that intermediates can take advantage of the search tool by leveraging the IV tools to browse subtopics, and formulate better queries with less effort. We conclude that embedding the IV and the search tools in the interface can result in different search behavior but improved task performance. We provide implications to design search systems to include IV features adapted to user levels of subject knowledge to help them achieve better task performance.

Date

9.12.2018 16:22:25

Source

Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1428-1445

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Abstract

Browsing is considered to be unstructured and human-driven, although not a cognitively intensive process. It is conducted using systems that facilitate considerable user-system interactivity. Cued by the content, people immerse themselves in a topic of interest and meander from topic to topic while concurrently recognising interesting and informative information en route. They seem to seek and gather information in a purposeless, illogical and indiscriminate manner. Typical examples of these ostensibly random acts are scanning a non-fiction book, examining the morning newspaper, perusing the contents of a business report and scavenging the World Wide Web. Often the result is the acquisition of new information, the rejection or confirmation of an idea, or the genesis of new, perhaps not-wholly-formed thoughts about a topic. Noteworthy about this approach is that people explore information without having consciously structured queries or explicit goals. This form of passive information interaction behaviour is defined as acquiring and gathering information while scanning an information space without a specific goal in mind (Waterworth & Chignell, 1991; Toms, 1997), and for the purposes of this study, is called browsing. Traditionally, browsing is thought of in two ways: as a physical process - the action taken when one scans a list, a document, or a set of linked information nodes (e.g., Fox & Palay, 1979; Thompson & Croft, 1989; Ellis, 1989), and as a conceptual process, information seeking when the goal is ill-defined (e.g., Cove & Walsh, 1987). Browsing is also combined with searching in an integrated information-seeking process for retrieving information (e.g., Ellis, 1989; Belkin, Marchetti & Cool, 1993; Marchionini, 1995; Chang, 1995). Each of these cases focuses primarily on seeking information when the objective ranges from fuzzy to explicit.

Date

22. 3.2002 9:44:47

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK. Ed. by D.K. Wilson u. D.K. Allen

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Abstract

This paper presents QACID an ontology-based Question Answering system applied to the CInema Domain. This system allows users to retrieve information from formal ontologies by using as input queries formulated in natural language. The original characteristic of QACID is the strategy used to fill the gap between users' expressiveness and formal knowledge representation. This approach is based on collections of user queries and offers a simple adaptability to deal with multilingual capabilities, inter-domain portability and changes in user information requirements. All these capabilities permit developing Question Answering applications for actual users. This system has been developed and tested on the Spanish language and using an ontology modelling the cinema domain. The performance level achieved enables the use of the system in real environments.

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Abstract

As information becomes more ubiquitous and the demands that searchers have on search systems grow, there is a need to support search behaviors beyond simple lookup. Information seeking is the process or activity of attempting to obtain information in both human and technological contexts. Exploratory search describes an information-seeking problem context that is open-ended, persistent, and multifaceted, and information-seeking processes that are opportunistic, iterative, and multitactical. Exploratory searchers aim to solve complex problems and develop enhanced mental capacities. Exploratory search systems support this through symbiotic human-machine relationships that provide guidance in exploring unfamiliar information landscapes. Exploratory search has gained prominence in recent years. There is an increased interest from the information retrieval, information science, and human-computer interaction communities in moving beyond the traditional turn-taking interaction model supported by major Web search engines, and toward support for human intelligence amplification and information use. In this lecture, we introduce exploratory search, relate it to relevant extant research, outline the features of exploratory search systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratory search. Exploratory search is a new frontier in the search domain and is becoming increasingly important in shaping our future world.

Content

Table of Contents: Introduction / Defining Exploratory Search / Related Work / Features of Exploratory Search Systems / Evaluation of Exploratory Search Systems / Future Directions and concluding Remarks

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Abstract

In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, navigational, and transactional intent. After deriving attributes of each, we then developed a software application that automatically classified queries using a Web search engine log of over a million and a half queries submitted by several hundred thousand users. Our findings show that more than 80% of Web queries are informational in nature, with about 10% each being navigational and transactional. In order to validate the accuracy of our algorithm, we manually coded 400 queries and compared the results from this manual classification to the results determined by the automated method. This comparison showed that the automatic classification has an accuracy of 74%. Of the remaining 25% of the queries, the user intent is vague or multi-faceted, pointing to the need for probabilistic classification. We discuss how search engines can use knowledge of user intent to provide more targeted and relevant results in Web searching.

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Abstract

This research contrasts two different conceptions, fields and pathways, of individual information behavior in context. These different approaches imply different relationships between actors and their information environments and, thus, encapsulate different views of the relationship between individual actions and contexts. We discuss these different theoretical views, then empirically compare and contrast them. The operationalization of these conceptions is based on different analytic treatments of the same raw data: a battery of three questions based on respondent's unaided recall of the sources they would consult for information on inherited cancers, a particularly rich information seeking problem. These operationalizations are then analyzed in a nomological network of related concepts drawn from an omnibus survey of 882 adults. The results indicated four clusters for fields and 16 different pathways, indicating increased fragmentation of information environments, with different underlying logics and active ingredients, although the use of the Internet appears to be an emerging common theme. The analysis of the nomological network suggests that both approaches may have applications for particular problems. In the implications, we compare and contrast these approaches, discussing their significance for future methodological, analytical, and theoretical developments.

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Abstract

We report on a study that investigated the efficacy of four different interactive information retrieval (IIR) systems, each designed to support a specific information-seeking strategy (ISS). These systems were constructed using different combinations of IR techniques (i.e., combinations of different methods of representation, comparison, presentation and navigation), each of which was hypothesized to be well suited to support a specific ISS. We compared the performance of searchers in each such system, designated experimental, to an appropriate baseline system, which implemented the standard specified query and results list model of current state-of-the-art experimental and operational IR systems. Four within-subjects experiments were conducted for the purpose of this comparison. Results showed that each of the experimental systems was superior to its baseline system in supporting user performance for the specific ISS (that is, the information problem leading to that ISS) for which the system was designed. These results indicate that an IIR system, which intends to support more than one kind of ISS, should be designed within a framework which allows the use and combination of different IR support techniques for different ISSs.

Source

Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1543-1563