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113
Exhibit: Lightweight structured data publishing
, 2007
"... The early Web was hailed for giving individuals the same publishing power as large content providers. But over time, large content providers learned to exploit the structure in their data, leveraging databases and server side technologies to provide rich browsing and visualization. Individual author ..."
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Cited by 96 (6 self)
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The early Web was hailed for giving individuals the same publishing power as large content providers. But over time, large content providers learned to exploit the structure in their data, leveraging databases and server side technologies to provide rich browsing and visualization. Individual authors fall behind once more: neither old-fashioned static pages nor domain-specific publishing frameworks supporting limited customization can match custom database-backed web applications. In this paper, we propose Exhibit, a lightweight framework for publishing structured data on standard web servers that requires no installation, database administration, or programming. Exhibit lets authors with relatively limited skills—those same enthusiasts who could write HTML pages for the early Web—publish richly interactive pages that exploit the structure of their data for better browsing and visualization. Such structured publishing in turn makes that data more useful to all of its consumers: individual readers get more powerful interfaces, mashup creators can more easily repurpose the data, and Semantic Web enthusiasts can feed the data to the nascent Semantic Web.
LODE: Linking Open Descriptions of Events
"... Abstract. People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relati ..."
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Cited by 61 (10 self)
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Abstract. People conventionally refer to an action or occurrence taking place at a certain time at a specific location as an event. This notion is potentially useful for connecting individual facts recorded in the rapidly growing collection of linked data sets and for discovering more complex relationships between data. In this paper, we provide an overview and comparison of existing event models, looking at the different choices they make of how to represent events. We describe a model for publishing records of events as Linked Data. We present tools for populating this model and a prototype “event directory ” web service, which can be used to locate stable URIs for events that have occurred, provide RDFS+OWL descriptions and link to related resources. 1
Triplerank: Ranking semantic web data by tensor decomposition
- In ISWC
, 2009
"... Abstract. The Semantic Web fosters novel applications targeting a more efficient and satisfying exploitation of the data available on the web, e.g. faceted browsing of linked open data. Large amounts and high diversity of knowledge in the Semantic Web pose the challenging question of appropriate rel ..."
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Cited by 53 (0 self)
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Abstract. The Semantic Web fosters novel applications targeting a more efficient and satisfying exploitation of the data available on the web, e.g. faceted browsing of linked open data. Large amounts and high diversity of knowledge in the Semantic Web pose the challenging question of appropriate relevance ranking for producing fine-grained and rich descriptions of the available data, e.g. to guide the user along most promising knowledge aspects. Existing methods for graphbased authority ranking lack support for fine-grained latent coherence between resources and predicates (i.e. support for link semantics in the linked data model). In this paper, we present TripleRank, a novel approach for faceted authority ranking in the context of RDF knowledge bases. TripleRank captures the additional latent semantics of Semantic Web data by means of statistical methods in order to produce richer descriptions of the available data. We model the Semantic Web by a 3-dimensional tensor that enables the seamless representation of arbitrary semantic links. For the analysis of that model, we apply the PARAFAC decomposition, which can be seen as a multi-modal counterpart to Web authority ranking with HITS. The result are groupings of resources and predicates that characterize their authority and navigational (hub) properties with respect to identified topics. We have applied TripleRank to multiple data sets from the linked open data community and gathered encouraging feedback in a user evaluation where TripleRank results have been exploited in a faceted browsing scenario. 1
Potluck: Data Mash-Up Tool for Casual Users
"... Abstract. As more and more reusable structured data appears on the Web, casual users will want to take into their own hands the task of mashing up data rather than wait for mash-up sites to be built that address exactly their individually unique needs. In this paper, we present Potluck, a Web user i ..."
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Cited by 38 (3 self)
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Abstract. As more and more reusable structured data appears on the Web, casual users will want to take into their own hands the task of mashing up data rather than wait for mash-up sites to be built that address exactly their individually unique needs. In this paper, we present Potluck, a Web user interface that lets casual users —those without programming skills and data modeling expertise—mash up data themselves. Potluck is novel in its use of drag and drop for merging fields, its integration and extension of the faceted browsing paradigm for focusing on subsets of data to align, and its application of simultaneous editing for cleaning up data syntactically. Potluck also lets the user construct rich visualizations of data in-place as the user aligns and cleans up the data. This iterative process of integrating the data while constructing useful visualizations is desirable when the user is unfamiliar with the data at the beginning—a common case—and wishes to get immediate value out of the data without having to spend the overhead of completely and perfectly integrating the data first. A user study on Potluck indicated that it was usable and learnable, and elicited excitement from programmers who, even with their programming skills, previously had great difficulties performing data integration.
Semantic annotation and search of cultural-heritage collections: The MultimediaN . . .
, 2008
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User-centric faceted search for semantic portals
- PROCEEEDINGS OF THE 4 TH EUROPEAN SEMANTIC WEB CONFERENCE ESWC2007, FORTH-COMING
, 2007
"... Many semantic portals use faceted browsing, where the facets are based on the underlying indexing ontologies of the content. However, in many cases, like in medical applications, the ontologies may be very large and complex, and do not provide the end-user with intuitive facet hierarchies for conc ..."
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Cited by 26 (9 self)
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Many semantic portals use faceted browsing, where the facets are based on the underlying indexing ontologies of the content. However, in many cases, like in medical applications, the ontologies may be very large and complex, and do not provide the end-user with intuitive facet hierarchies for conceptualizing the content, for formulating queries, and for classifying the search results. We argue that in such cases end-user facets should be separated from the annotation ontologies, and show how to generalize the semantic view-based search paradigm to take into account this fact. A user-centric card sorting method is proposed for designing intuitive views for the end-users and a method for mapping its facets onto the indexing ontologies and search items is presented. The system has been implemented in a prototype of the semantic portal TerveSuomi.fi, a national health promotion portal in Finland.
gFacet: A Browser for the Web of Data
- PROCEEDINGS OF THE INTERNATIONAL WORKSHOP ON INTERACTING WITH MULTIMEDIA CONTENT IN THE SOCIAL SEMANTIC WEB (IMC-SSW'08)
, 2008
"... Abstract. This paper introduces a new approach to browsing the Web of data by combining graph-based visualization with faceted filtering techniques. The graph-based visualization of facets supports the integration of different domains and an efficient exploration of highly structured and interrelate ..."
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Cited by 26 (4 self)
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Abstract. This paper introduces a new approach to browsing the Web of data by combining graph-based visualization with faceted filtering techniques. The graph-based visualization of facets supports the integration of different domains and an efficient exploration of highly structured and interrelated datasets. It allows to access information from distant user-defined perspectives and thereby enables the exploration beyond the borders of Web pages.
VisiNav: A System for Visual Search and Navigation on Web Data
, 2012
"... Web standards such as RDF (Resource Description Framework) facilitate data integration over large number of sources. The resulting interlinked datasets describe objects, their attributes and links to other objects. Such datasets are amenable for queries beyond traditional keyword search and for visu ..."
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Cited by 25 (4 self)
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Web standards such as RDF (Resource Description Framework) facilitate data integration over large number of sources. The resulting interlinked datasets describe objects, their attributes and links to other objects. Such datasets are amenable for queries beyond traditional keyword search and for visualisation beyond a simple list of links to documents. Given that data integrated from the open web exhibits enormous variety in scope and structure, the mechanisms for interacting with such data have to be generic and agnostic to the vocabularies used. Ideally, a system operating on web data is easy to use without upfront training. To this end, we present VisiNav, a system based on an interaction model designed to easily search and navigate large amounts of web data (the current system contains over 18.5m RDF triples aggregated from 70k sources). In this paper we introduce a formal query model comprised of four atomic operations over object-structured datasets: keyword search, object focus, path traversal, and facet specification. From these atomic operations, users incrementally assemble complex queries that yield sets of objects as result. These results can then be either directly visualised or exported to application programs or online services for further processing. The current system provides detail, list, and table views for arbitrary types of objects; and timeline and map visualisations for temporal and spatial aspects of objects.
A.: Semantic Search: Reconciling Expressive Querying and Exploratory
- ISWC 2011, Part I. LNCS
, 2011
"... Abstract. Faceted search and querying are two well-known paradigms to search the Semantic Web. Querying languages, such as SPARQL, of-fer expressive means for searching RDF datasets, but they are difficult to use. Query assistants help users to write well-formed queries, but they do not prevent empt ..."
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Cited by 19 (7 self)
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Abstract. Faceted search and querying are two well-known paradigms to search the Semantic Web. Querying languages, such as SPARQL, of-fer expressive means for searching RDF datasets, but they are difficult to use. Query assistants help users to write well-formed queries, but they do not prevent empty results. Faceted search supports exploratory search, i.e., guided navigation that returns rich feedbacks to users, and prevents them to fall in dead-ends (empty results). However, faceted search systems do not offer the same expressiveness as query languages. We introduce Query-based Faceted Search (QFS), the combination of an expressive query language and faceted search, to reconcile the two paradigms. In this paper, the LISQL query language generalizes existing semantic faceted search systems, and covers most features of SPARQL. A prototype, Sewelis (aka. Camelis 2), has been implemented, and a usabil-ity evaluation demonstrated that QFS retains the ease-of-use of faceted search, and enables users to build complex queries with little training. 1
