A Semantic Framework to Enrich Collaborative Tables with Domain Knowledge

Abstract

Abstract:In this paper we present a project aimed at enhancing a collaborative environment for resource management (SemT++) with domain knowledge, represented by a local ontology and a connection to external data, retrieved from Linked Open Data sets. Our approach is based on the assumption that heterogeneous resources can be viewed as "information objects", and can be organized within collaborative spaces (i.e., "round tables"). Information objects, among other properties, are characterized by their content. Annotations representing resource content (e.g., "Torino") can thus be linked to domain knowledge which provides users with useful information. We tested this approach on the geographic domain, by connecting resources to commonsense geographic knowledge and to information available in GeoNames.

An Integrated Support to Collaborative Semantic Annotation

“…(ii) The management of "private" tags should be slightly revised taking into account the following points: (i) the possibility of saving the tags one "likes" in case they get removed by someone else should be kept; (ii) "private" tags should be available but visualized in a different way, less prominent with respect to shared ones. (iii) The suggestion functionality should be empowered in two directions: (i) the system should provide suggestions more closely related to the resource topic and also tags related to the goal of the collaboration (e.g., the very same resource could be differently tagged if used in a workspace devoted to the organization of a holiday in Ireland or to writing a scientific paper about Irish geology); this improvement could be obtained by taking into account the workspace context, mainly represented by the activity the workspace itself is devoted too and by the specific collaboration goals; the information about context and goals could be derived either from previously tagged resources or from some general workspace knowledge provided by users themselves as they develop their joint work; (ii) the system should be endowed with an explanation mechanism, providing users with information about the suggested tags; a preliminary work in this direction can be found in [46].…”

Ontologies and historical archives: A way to tell new stories

“…Obviously, such a connection is not trivial, since issues concerning the mapping of the semantic model underlying external datasets onto the semantic model of the system have to be faced (Goy et al, 2015).…”

Shared and Personal Views on Collaborative Semantic Tables

“…geonames.org/export), as a significative example of LOD dataset. Further details about this choice can be found in [23].…”

“…the framework supporting personal views over annotations of shared resources. A more detailed description of SemT++ semantic model can be found in [23,24].…”

“…For each topic and object of discourse used to describe the content of resources on a given table, the Domain Knowledge Manager searches for corresponding GeoNames entities. If the search result is not void, after a possible disambiguation phase (currently done by the user), the instance representing that topic/object of discourse is classified in the Geographic Ontology (see [23] for more details about the geography testbed). Figure 2 graphically depicts a simplified example of the semantic description of a table object, i.e., a Web page, with the following properties: The author is a company for touristic promotion of Garda lake (VisitGarda inc.); it is written in English; it is encoded in HTML (specifically UTF-8/HTML5); it contains a figure (image1) and a link (link1) to a brochure (windsurf-brochure-content-1); its main topic is the Garda lake, and it talks about trekking and climbing, restaurants and events in the lake area, windsurfing, and spas.…”