Search (3 results, page 1 of 1)

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Abstract

Purpose - This research project aims to provide a new visual representation of the Artefacts Canada digital collection, as well as a means for users to browse this content. Artefacts Canada Humanities is a database containing approximately 3.5 million records describing the different collections of Canadian museums. Design/methodology/approach - A four-step methodology was adopted for the development of the faceted taxonomy model. First, a best practice review consisting of an extensive analysis of existing terminology standards in museum communities and public web interfaces of large cultural organizations was performed. The second step of the methodology entailed a domain analysis; this involved extracting and comparing relevant concepts from terminological authoritative sources. The third step proceeded to term clustering and entity listing,which involved the breaking-up of the taxonomy domains into potential facets. An incremental user testing was also realized in order to validate and refine the taxonomy components (facets, values, and relationships). Findings - The project resulted in a bilingual and expandable vocabulary structure that will further be used to describe the Artefacts Canada database records. The new taxonomy simplifies the representation of complex content by grouping objects into similar facets to classify all records of the Artefacts Canada database. The user-friendly bilingual taxonomy provides worldwide visitors with the means to better access Canadian virtual museum collections. Originality/value - Few methodological tools are available for museums which wish to adopt a faceted approach in the development of their web sites. For practitioners, the methodology developed within this project is a direct contribution to support web site development of large cultural organizations.

Type

a

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Abstract

This paper presents a two-phased research project aiming to improve email triage for public administration managers. The first phase developed a typology of email classification patterns through a qualitative study involving 34 participants. Inspired by the fields of pragmatics and speech act theory, this typology comprising four top level categories and 13 subcategories represents the typical email triage behaviors of managers in an organizational context. The second study phase was conducted on a corpus of 1,703 messages using email samples of two managers. Using the k-NN (k-nearest neighbor) algorithm, statistical treatments automatically classified the email according to lexical and nonlexical features representative of managers' triage patterns. The automatic classification of email according to the lexicon of the messages was found to be substantially more efficient when k = 2 and n = 2,000. For four categories, the average recall rate was 94.32%, the average precision rate was 94.50%, and the accuracy rate was 94.54%. For 13 categories, the average recall rate was 91.09%, the average precision rate was 84.18%, and the accuracy rate was 88.70%. It appears that a message's nonlexical features are also deeply influenced by email pragmatics. Features related to the recipient and the sender were the most relevant for characterizing email.

Type

a

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Content

This paper examines the prevalent contextual factors involved in the work of middle managers as they read and classify e-mail within two Canadian public administrations. Looking at e-mail through the lens of pragmatics and genre theory, the intent here is to devise a solution to alleviate issues associated with e-mail management practices. Resulting from this research, the E-mail Pragmatic Framework is presented. This framework takes into account prevailing individual, contextual and textual factors in the reading and classification of e-mail. As an alternative to speech act theory, a typology of e-mail pragmatic functions aiming to capture the expectations of middle managers as they interact with the e-mail genre is outlined.

Type

a