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The purpose of this study is to generate diversified results for temporally ambiguous queries and the candidate queries are ensured to have a high coverage of subtopics, which are derived from different temporal periods.

Two novel time-aware query suggestion diversification models are developed by integrating semantics and temporality information involved in queries into two state-of-the-art explicit diversification algorithms (i.e. IA-select and xQuaD), respectively, and then specifying the components on which these two models rely on. Most importantly, first explored is how to explicitly determine query subtopics for each unique query from the query log or clicked documents and then modeling the subtopics into query suggestion diversification. The discussion on how to mine temporal intent behind a query from query log is also followed. Finally, to verify the effectiveness of the proposal, experiments on a real-world query log are conducted.

Preliminary experiments demonstrate that the proposed method can significantly outperform the existing state-of-the-art methods in terms of producing the candidate query suggestion for temporally ambiguous queries.

This study reports the first attempt to generate query suggestions indicating diverse interested time points to the temporally ambiguous (input) queries. The research will be useful in enhancing users’ search experience through helping them to formulate accurate queries for their search tasks. In addition, the approaches investigated in the paper are general enough to be used in many domains; that is, experimental information retrieval systems, Web search engines, document archives and digital libraries.

The purpose of this paper is to investigate information retrieval (IR) in the context of authentic work tasks (WTs), as compared to traditional experimental IR study designs.

The participants were 22 professionals working in municipal administration, university research and education, and commercial companies. The data comprise 286 WTs and 420 search tasks (STs). The data were collected in natural situations. It includes transaction logs, video recordings, interviews, observation, and daily questionnaires.

The analysis included the effects of WT type and complexity on the number of STs, queries, search keys and types of queries. The findings suggest that simple STs are enough to support most WTs. Complex WTs (vs more simple ones) and intellectual WTs (vs communication, support and editing WTs) include more STs than other WT categories.

Further research should address the problems related to controllability of field studies and enhance the use of realistic WT situations in test-based studies, as well.

The study is an attempt to bring traditional IR studies and realistic research settings closer to each other. Using authentic WTs when studying IR is still rare. The representativeness of the WT/ST types used in interactive IR experiments should be carefully addressed: in the work flow, people seldom consciously recognise separate “STs”. This means that STs may mainly be an academic construct even to the point that studying IR without a decent context does violence to the further understanding of the phenomenon.

The paper analyses discussion about public service organisational innovation and change in strategic plans as a potential source of information informing citizen participation.

The strategic plans of 24 different UK public service organisations were analysed using NVivo.

The strategic plans did not provide comprehensive information about organisational innovations and changes taking place. However, the rationales for why public service organisations were changing were evident.

The research was based upon a small sample and only a single communication channel (the strategic plans) was analysed.

The paper highlights the challenges of informing citizens about forthcoming organisational innovation and change in public service organisations and suggests ways forward.

The symbol‐based epistemology used in artificial intelligence is contrasted with the constructivist, coherence epistemology promoted by cybernetics. The latter leads to bootstrapping knowledge representations, in which different parts of the system mutually support each other. Gordon Pask’s entailment meshes are reviewed as a basic application of this approach, and then extended to entailment nets: directed graphs governed by the “bootstrapping axiom”, determining which concepts are to be distinguished or merged. This allows a constant restructuring of the conceptual network. Semantic networks and frame‐like representations can be expressed in this scheme by introducing a basic ontology of node and link types. Entailment nets are then generalized to associative networks with weighted links. Learning algorithms are presented which can adapt the link strengths, based on the frequency with which links are selected by hypertext users. It is argued that such bootstrapping methods can be applied to make the World Wide Web more intelligent, allowing it to self‐organize and support inferences.

The traditional postcolonial focus on the modern and the European, and pre-modern and non-European empires has marginalized the study of empires like the Ottoman Empire whose temporal reign traversed the modern and pre-modern eras, and its geographical land mass covered parts of Eastern Europe, the Balkans, Asia Minor, the Arabian Peninsula, and North Africa. Here, I first place the three postcolonial corollaries of the prioritization of contemporary inequality, the determination of its historical origins, and the target of its eventual elimination in conversation with the Ottoman Empire. I then discuss and articulate the two ensuing criticisms concerning the role of Islam and the fluidity of identities in states and societies. I argue that epistemologically, postcolonial studies criticize the European representations of Islam, but do not take the next step of generating alternate knowledge by engaging in empirical studies of Islamic empires like the Ottoman Empire. Ontologically, postcolonial studies draw strict official and unofficial lines between the European colonizer and the non-European colonized, yet such a clear-cut divide does not hold in the case of the Ottoman Empire where the lines were much more nuanced and identities much more fluid. Still, I argue that contemporary studies on the Ottoman Empire productively intersect with the postcolonial approach in three research areas: the exploration of the agency of imperial subjects; the deconstruction of the imperial center; and the articulation of bases of imperial domination other than the conventional European “rule of colonial difference” strictly predicated on race. I conclude with a call for an analysis of Ottoman postcoloniality in comparison to others such as the German, Austro-Hungarian, Russian, Persian, Chinese, Mughal, and Japanese that negotiated modernity in a similar manner with the explicit intent to generate knowledge not influenced by the Western European historical experience.

A fine‐grained video content indexing, retrieval, and adaptation requires accurate metadata describing the video structure and semantics to the lowest granularity, i.e. to the object level. The authors address these requirements by proposing semantic video content annotation tool (SVCAT) for structural and high‐level semantic video annotation. SVCAT is a semi‐automatic MPEG‐7 standard compliant annotation tool, which produces metadata according to a new object‐based video content model introduced in this work. Videos are temporally segmented into shots and shots level concepts are detected automatically using ImageNet as background knowledge. These concepts are used as a guide to easily locate and select objects of interest which are then tracked automatically to generate an object level metadata. The integration of shot based concept detection with object localization and tracking drastically alleviates the task of an annotator. The paper aims to discuss these issues.

A systematic keyframes classification into ImageNet categories is used as the basis for automatic concept detection in temporal units. This is then followed by an object tracking algorithm to get exact spatial information about objects.

Experimental results showed that SVCAT is able to provide accurate object level video metadata.

The new contribution in this paper introduces an approach of using ImageNet to get shot level annotations automatically. This approach assists video annotators significantly by minimizing the effort required to locate salient objects in the video.

This study aims to examine the determinants that influence housing prices in Dammam metropolitan area (DMA), Saudi Arabia, by using the analytic hierarchy process (AHP) model. The study considers determinants such as building age (BLD AG), building size (BLD SZ), building condition (BLD CN), access to parking (ACC PK), proximity to transport infrastructure (PRX TRS), proximity to green areas (PRX GA) and proximity to amenities (PRX AM).

The AHP decision model was used to assess the determinants of housing prices in DMA, using a pair-wise comparison matrix to determine the influence of the investigated factors on housing prices.

The study’s results revealed that building size (BLD SZ) was the most critical determinant affecting housing prices in DMA, with a weight of 0.32, trailed by proximity to transport infrastructure (PRX TRS), with a weight of 0.24 as the second most influential housing price determinant in DMA. The third most important determinant was proximity to amenities (PRX AM), with a weight of 0.18.

This study addresses a research gap by using the AHP model to assess the spatial determinants of housing prices in DMA, Saudi Arabia. Few studies have used this model in examining housing price factors, particularly in the context of Saudi Arabia. Consequently, the findings of this study provide unique insights for policymakers, housing developers and other stakeholders in understanding the importance of building size, proximity to transport infrastructure and proximity to amenities in influencing housing prices in DMA. By considering these determinants, stakeholders can make informed decisions to improve housing quality and prices in the region.

In this paper, I compare Theodore Schatzki’s practice theory, the existential phenomenology of Martin Heidegger upon whom Schatzki drew in its formation, and my own theory of institutional logics which I have sought to develop as a religious sociology of institution. I examine how Schatzki and I both differently locate our thinking at the level of practice. In this essay I also explore the possibility of appropriating Heidegger’s religious ontology of worldhood, which Schatzki rejects, in that project. My institutional logical position is an atheological religious one, poly-onto-teleological. Institutional logics are grounded in ultimate goods which are praiseworthy “objects” of striving and practice, signifieds to which elements of an institutional logic have a non-arbitrary relation, sources of and references for practical norms about how one should have, make, do or be that good, and a basis of knowing the world of practice as ordered around such goods. Institutional logics are constellations co-constituted by substances, not fields animated by values, interests or powers.

Because we are speaking against “values,” people are horrified at a philosophy that ostensibly dares to despise humanity’s best qualities. For what is more “logical” than that a thinking that denies values must necessarily pronounce everything valueless? Martin Heidegger, “Letter on Humanism” (2008a, p. 249).

The purpose of this paper is to present an argument for taking the long view of the retention and preservation of inactive medical records.

Using the theoretical framework of Actor-Network Theory, the author examines medical records, and especially mental health records, as actants that participate in the classification and treatment of patients, and in the development of psychiatry and mental hospitals as social institutions.

The varied and profound roles of medical records demonstrate the ability for records to have multiple “lives” that can touch many individuals beyond a single human lifetime.

As the current and future custodians of historical medical record collections, information professionals are in a position to be greater advocates for the increased preservation of and mindful access to these materials.

Medical records have potential to be cultural heritage documents, especially for emergent communities.

This paper articulates the ways in which medical records are an embedded part of many societies, and affect the ways in which illness is defined and treated. It thus suggests that while laws regarding the retention and destruction of and access to medical records continue to be deliberated upon around the world, such records can have enduring value as information artifacts.