Navigation via similarity: Automatic linking based on semantic closeness

Tudhope, Douglas; Taylor, C J

doi:10.1016/s0306-4573(96)00067-2

Cited by 45 publications

(29 citation statements)

References 10 publications

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“…This allows clustering and searching for records, and also facilitates matching between periods mentioned in database records and within the grey literature documents. A semantic closeness calculation for time periods used in previous work at Glamorgan (described more fully in [24]) was incorporated into a custom application (STAR.TIMELINE) to batch process the cleansed data records, comparing the derived start/end dates against our collated list of known periods. Periods frequently overlapped or were contained within others, so the matching method accommodated these issues to suggest the most appropriate match.…”

Section: Aligning Data Records With Known Time Periodsmentioning

confidence: 99%

Implementing Archaeological Time Periods Using CIDOC CRM and SKOS

Binding

2010

Lecture Notes in Computer Science

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Abstract. Within the archaeology domain, datasets frequently refer to time periods using a variety of textual or numeric formats. Traditionally controlled vocabularies of time periods have used classification notation and the collocation of terms in the printed form to represent and convey tacit information about the relative order of concepts. The emergence of the semantic web entails encoding this knowledge into machine readable forms, and so the meaning of this informal ordering arrangement can be lost. Conversion of controlled vocabularies to Simple Knowledge Organisation System (SKOS) format provides a formal basis for semantic web indexing but does not facilitate chronological inference -as thesaurus relationship types are an inappropriate mechanism to fully describe temporal relationships. This becomes an issue in archaeological data where periods are often described in terms of (e.g.) named monarchs or emperors, without additional information concerning relative chronological context. An exercise in supplementing existing controlled vocabularies of time period concepts with dates and temporal relationships was undertaken as part of the Semantic Technologies for Archaeological Resources (STAR) project. The general aim of the STAR project is to demonstrate the potential benefits in cross searching archaeological data conforming to a common overarching conceptual data structure schema -the CIDOC Conceptual Reference Model (CRM). This paper gives an overview of STAR applications and services and goes on to particularly focus on issues concerning the extraction and representation of time period information.

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Section: Aligning Data Records With Known Time Periodsmentioning

confidence: 99%

Implementing Archaeological Time Periods Using CIDOC CRM and SKOS

Binding

2010

Lecture Notes in Computer Science

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“…Furthermore, it obfuscates one of the chief reasons for associating documents; that their contents are similar in some way. Conceptual Hypermedia Systems (CHS) specify the hypertext structure and behaviour in terms of a well-defined conceptual schema [7,28,33]. This types documents and links, and includes a conceptual domain model used to describe document content.…”

Section: Using Metadata For Linkingmentioning

confidence: 99%

“…The next stage in the development of the ontology service is to incorporate a DL model, and to use that to control the update and maintenance of the ontology as it encounters new terms on the Web. In various systems the conceptual model forming the links between documents is exposed and explicitly navigable [4,28], whereas in [33] the classification scheme is more implicit. This raises issues of the presentation of links, the rendering of concept-based links, and the visibility of the ontology during linking and its use in query construction.…”

Section: Future Workmentioning

confidence: 99%

Generalizing the OpenURL Framework beyond References to Scholarly Works

Sompel¹,

Beit-Arie²

2001

D-Lib Magazine

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This paper describes the attempts of the COHSE project to define and deploy a Conceptual Open Hypermedia Service. Consisting of and integrated to form a conceptual hypermedia system to enable documents to be linked via metadata describing their contents and hence to improve the consistency and breadth of linking of WWW documents at retrieval time (as readers browse the documents) and authoring time (as authors create the documents).

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“…Users with similar interests follow similar paths and therefore they leave comparable trails. By matching trails, we match users, i.e., the similarity measures are based on traversal only (see also Tudhope and Taylor (1997) for other measures). MEMOIR lets the user ask questions such as``who else reads similar documents?''…”

Section: Introductionmentioning

confidence: 99%

MEMOIR — an open framework for enhanced navigation of distributed information

Roure

Hall

Reich

et al. 2001

Information Processing & Management

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In large companies, whose business is critically dependent on the eectiveness of their R&D function, the provision of eective means to access and share all forms of technical information is an acute problem. It is often easier to repeat an activity than it is to determine whether work has been carried out before.In this paper we present experiences in implementing and evaluating the MEMOIR system. MEMOIR is an open framework, i.e., it is extensible and adaptable to an organization's infrastructure and applications, and it provides its user interface via standard Web browsers. It uses trails, open hypermedia link services and a set of software agents to assist users in accessing and navigating vast amounts of information in Intranet environments. Additionally, MEMOIR exploits trail data to support users in ®nding colleagues with similar interests. The MEMOIR system has been installed and evaluated by two end-user organizations. This paper describes the results obtained in this evaluation. 7

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Navigation via similarity: Automatic linking based on semantic closeness

Cited by 45 publications

References 10 publications

Implementing Archaeological Time Periods Using CIDOC CRM and SKOS

Implementing Archaeological Time Periods Using CIDOC CRM and SKOS

Generalizing the OpenURL Framework beyond References to Scholarly Works

MEMOIR — an open framework for enhanced navigation of distributed information

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