OntoLog: Temporal Annotation Using Ad Hoc Ontologies and Application Profiles

Heggland, Jon

doi:10.1007/3-540-45747-x_9

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…Important contributions toward defining temporal RDF have been made by researchers such as [3,5,6,8]. However, three important aspects of a DBMS are not covered by these past works.…”

Section: Discussionmentioning

confidence: 99%

“…The temporal distance metrics combine the distance between consecutive temporal intervals on a path between two resources. First, we need to 8 One may wonder whether it is possible to build an Rtree like structure by thinking of graph based features and temporal features as two dimensions. Unfortunately, there seems to be no ordering on the resources in a tRDF graph that correlates well with graph query patterns.…”

Section: Distance Metricsmentioning

confidence: 99%

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Scaling RDF with Time

Pugliese

Udrea

Subrahmanian

2008

Proceedings of the 17th International Conference on World Wide Web

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The World Wide Web Consortium's RDF standard primarily consists of (subject,property,object) triples that specify the value that a given subject has for a given property. However, it is frequently the case that even for a fixed subject and property, the value varies with time. As a consequence, efforts have been made to annotate RDF triples with "valid time" intervals. However, to date, no proposals exist for efficient indexing of such temporal RDF databases. It is clearly beneficial to store RDF data in a relational DB -however, standard relational indexes are inadequately equipped to handle RDF's graph structure. In this paper, we propose the tGRIN index structure that builds a specialized index for temporal RDF that is physically stored in an RDBMS. Past efforts to store RDF in relational stores include Jena2 from HP, Sesame from OpenRDF.org, and 3store from the University of Southampton. We show that even when these efforts are augmented with well known temporal indexes like R+ trees, SR-trees, ST-index, and MAP21, the tGRIN index exhibits superior performance. In terms of index build time, tGRIN takes two thirds or less of the time used by any other system, and it uses a comparable amount of memory and less disk space than Jena, Sesame and 3store. More importantly, tGRIN can answer queries three to six times faster for average query graph patterns and five to ten times faster for complex queries than these systems.

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“…Important contributions toward defining temporal RDF have been made by researchers such as [3,5,6,8]. However, three important aspects of a DBMS are not covered by these past works.…”

Section: Discussionmentioning

confidence: 99%

Section: Distance Metricsmentioning

confidence: 99%

Scaling RDF with Time

Pugliese

Udrea

Subrahmanian

2008

Proceedings of the 17th International Conference on World Wide Web

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“…In those technical strands of the field focused on artificial intelligence or knowledge representation, annotations seem to be synonymous with automatically generated metadata or machine-learning applications (Heggland, 2002;Jeon, Lavrenko, & Manmatha, 2003;Kunieda & Wakita, 2001). On the more sociological end of the spectrum, annotations are becoming widely recognized as valuable indicators of user interaction with a primary object or text (Whittaker et al, 2004).…”

Section: Annotation Studiesmentioning

confidence: 99%

Annotations on musical scores by performing musicians: Collaborative models, interactive methods, and music digital library tool development

Winget

2008

J. Am. Soc. Inf. Sci.

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Although there have been a number of fairly recent studies in which researchers have explored the informationseeking and management behaviors of people interacting with musical retrieval systems, there have been very few published studies of the interaction and use behaviors of musicians interacting with their primary information object, the musical score. The ethnographic research reported here seeks to correct this deficiency in the literature. In addition to observing rehearsals and conducting 22 in-depth musician interviews, this research provides in-depth analysis of 25,000 annotations representing 250 parts from 13 complete musical works, made by musicians of all skill levels and performance modes. In addition to producing specific and practical recommendations for digital-library development, this research also provides an augmented annotation framework that will enable more specific study of human-information interaction, both with musical scores, and with more general notational/instructional information objects.

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“…In the field of information and library science (ILS), annotation studies have two major functions. In those technical strands of the field focused on artificial intelligence or knowledge representation, annotations seem to be synonymous with automatically generated metadata or machine learning applications (Heggland, 2002; Jeon, Lavrenko, & Manmatha, 2003; Kunieda & Wakita, 2001). On the more sociological end of the spectrum, annotations are becoming widely recognized as valuable (Whittaker et al, 2004)indicators of user interaction with a primary object or text.…”

Section: Annotation Studiesmentioning

confidence: 99%

A methodology and model for studying boundary objects, annotations, and collaborative practices: Musicians and musical scores

Winget

2007

Proc of Assoc for Info

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Although the boundary object is a significant theoretical concept for the CSCW community, it is less well-known in the general Information Science community. This paper briefly reviews the concept of the boundary object and proposes a new method to help researchers study users' interactions with these objects. Findings from an qualitative study of musicians' annotative behaviors on their boundary objects, musical scores, will provide the means to discuss this methodology. Findings from this study have implications not only for the CSCW community, but also for the Information Science community at large, in the development of systems that support collaboration, performance, and different forms of human-information interaction.

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OntoLog: Temporal Annotation Using Ad Hoc Ontologies and Application Profiles

Cited by 8 publications

References 15 publications

Scaling RDF with Time

Scaling RDF with Time

Annotations on musical scores by performing musicians: Collaborative models, interactive methods, and music digital library tool development

A methodology and model for studying boundary objects, annotations, and collaborative practices: Musicians and musical scores

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