1,721,069 research outputs found
mashpoint: Supporting data-centric navigation on the Web
Large numbers of Web sites support rich data-centric features to explore and interact with data en masse. For example, online shopping or travel sites routinely offer users ways to filter, explore and interact with their data. The ability to find related information on other Web sites about selected subsets of the data, however, is currently compromised by the Web's inherent, one document at a time, navigation. In this paper we present work-in-progress on mashpoint, a framework that allows distributed data-powered Web applications to exchange subsets of their data, in effect enabling many-to-many navigation on the Web, at a more granular, data level. We hypothesise that allowing such navigation unlocks novel possibilities for information exploration and interaction on the Web. We present an initial prototype and discuss the opportunities and challenges of facilitating this kind of interaction
End-user data-centric interactions over linked data
The ability to build tools that support gathering and querying information from distributed sources on the Web rests on the availability of structured data. Linked Data, as a way for publishing and linking distributed structured data sources on the Web, provides an opportunity to create this kind of tools. Currently, however, the ability to complete such tasks over Linked Data sources is limited to users with advanced technical skills, resulting in an online information space largely inaccessible to non-technical end users. This thesis explores the challenges of designing user interfaces for end users, those without technical skills, to use Linked Data to solve information tasks that require combining information from multiple sources. The thesis explores the design space around interfaces that support access to Linked Data on demand, suggests potential use cases and stakeholders, and proposes several direct manipulation tools for end users with diverse needs and skills. User studies indicate that the tools built offer solutions to various challenges in accessing Linked Data that are identified in this thesis
Bats can migrate farther than it was previously known: a new longest migration record by Nathusius' pipistrelle Pipistrellus nathusii (Chiroptera: Vespertilionidae)
Vasenkov, Denis, Desmet, Jean-François, Popov, Igor, Sidorchuk, Natalia (2022): Bats can migrate farther than it was previously known: a new longest migration record by Nathusius' pipistrelle Pipistrellus nathusii (Chiroptera: Vespertilionidae). Mammalia (Warsaw, Poland) 86 (5): 524-526, DOI: 10.1515/mammalia-2021-0139, URL: http://dx.doi.org/10.1515/mammalia-2021-013
Data picking Linked Data: enabling users to create faceted browsers
Despite the massive amount of data on the Web in Linked Data format it remains, however, difficult to explore, aggregate and consume this data. The access barrier is particularly higher for users with little or no technical experience. End users, with a vested interest in data but little technical expertise, typically rely on simple tools, such as spreadsheets, to store and analyze data. On the other side, publishers can’t always model or republish their data to appeal to every particular user group. In this paper we report on our attempt to lower this barrier. We suggest that both parties, publishers and users, can benefit from tools which allow them to quickly exchange data by (1) allowing the publisher to quickly mash up slices of different sources of data centered around a Despite the massive amount of data on the Web in Linked Data format it remains, however, difficult to explore, aggregate and consume this data. The access barrier is particularly higher for users with little or no technical experience. End users, with a vested interest in data but little technical expertise, typically rely on simple tools, such as spreadsheets, to store and analyze data. On the other side, publishers can’t always model or republish their data to appeal to every particular user group. In this paper we report on our attempt to lower this barrier. We suggest that both parties, publishers and users, can benefit from tools which allow them to quickly exchange data by (1) allowing the publisher to quickly mash up slices of different sources of data centered around a particular topic of user interest and (2) allow the user to manipulate facets of this data and export it in a familiar format. To facilitate this we employ the Data Picker, a tool for the mSpace faceted browser that allows publishers of Linked Data to quickly set up a faceted explorer from multiple data sources, which employ a SPARQL endpoint. One of main advantages of this approach is that it is easy to assemble a spreadsheet from several different sources thus utilizing the integrative properties of Linked Data while outputting it in a format familiar to the end user. Once the faceted browser is set up around a particular subject, the user is free to manipulate the fields by selecting the facets and subsequently generate the spreadsheet, allowing the user to carry on additional tasks. We tested the tool on our dataset of UK Public Sector Information (PSI) Linked Data using a number of test scenarios, which we set up as interesting questions requiring multiple sources of data to answer
Figure 1 in Bats can migrate farther than it was previously known: a new longest migration record by Nathusius' pipistrelle Pipistrellus nathusii (Chiroptera: Vespertilionidae)
Figure 1: Long-distance movement of a Nathusius' pipistrelle Pipistrellus nathusii from Borok (Russia) to Lully (France).Published as part of Vasenkov, Denis, Desmet, Jean-François, Popov, Igor & Sidorchuk, Natalia, 2022, Bats can migrate farther than it was previously known: a new longest migration record by Nathusius' pipistrelle Pipistrellus nathusii (Chiroptera: Vespertilionidae), pp. 524-526 in Mammalia (Warsaw, Poland) 86 (5) on page 525, DOI: 10.1515/mammalia-2021-0139, http://zenodo.org/record/783781
ONTOCOM: a reliable cost estimation method for ontology development projects
We present ONTOCOM, a method to estimate the costs of ontology engineering, as well as project management tools that support the application of the method. ONTOCOM is part of a broader framework we have developed over the five years, whose aim is to assess the business value of semantic technologies through a suite of methods, estimation models and project management tools, by which the costs and benefits of the corresponding projects are defined, measured and analyzed. The framework supports the engineering of different types of knowledge structures, including ontologies, taxonomies and folksonomies, and of information management systems leveraging such knowledge structures. It also includes benefit analysis models whose results can be used in conjunction with cost-related information in order to identify potential cost savings and to assess the feasibility of specific engineering strategies, in particular ontology reuse. The application of the methods proposed in the framework is supported by project management tools which can be used to customize these methods to a given project environment, to evaluate and validate the underlying estimations using empirical data, and to take into account their results for planning and controlling purposes
mashpoint: browsing the web along structured lines
Large numbers of Web sites support rich data-centric features to explore and interact with data. In this paper we present mashpoint, a framework that allows distributed data-powered Web applications to linked based on similarities of the entities in their data. By linking applications in this way we allow browsing with selections of data from one application to another application. This sort of browsing allows complex queries and exploration of data to be done by average Web users using multiple applications. We additionally use this concept to surface structured information to users in Web pages. In this paper we present this concept and our initial prototyp
Interacting with the Web of Data through a Web of inter-connected lenses
As a medium of structured information available on the Web, Linked Data is still hard to access for most end users. Current solutions facilitating end user access to Linked Data are either thought the use of data-mapping approaches, which allow configureable interfaces to be quickly deployed over preselected aggregations of Linked Data, or enable users themselves to browse the Web of Data through the use of generic data browsers. While the first approach is useful and promotes surfacing and easy repurposing of structured data it does little to promote the use of linkages to other, remote datasets. The second approach is much less useable for end users, however enables them to experience browsing a interconnected Web of Data. In this paper we present mashpoint, a framework that aims to provide a middle ground between both approaches. The approach treats data-centric applications as high-level lenses over the data, and allows selections of data to be pivoted between applications thus facilitating navigation. The paper presents an initial prototype and discusses both implications and challenges in terms of interaction and technology
Trust me, I'm partially right: incremental visualization lets analysts explore large datasets faster
Queries over large scale (petabyte) data bases often mean waiting overnight for a result to come back. Scale costs time. Such time also means that potential avenues of exploration are ignored because the costs are perceived to be too high to run or even propose them. With sampleAction we have explored whether interaction techniques to present query results running over only incremental samples can be presented as sufficiently trustworthy for analysts both to make closer to real time decisions about their queries and to be more exploratory in their questions of the data. Our work with three teams of analysts suggests that we can indeed accelerate and open up the query process with such incremental visualizations
- …
