Abstract
Although a large number of datasets gathered as Linked Open Data (LOD) is better for data sharing and re-using, the datasets themselves become more difficult to understand. Since each dataset has its own data structure, we need to understand datasets individually. In addition, since the entities in datasets are interconnected, we need to understand the interconnections between datasets. In other words, understanding the data is crucial for exploiting LOD. In this paper, we show a novel system called DashSearch LD to understand and use LOD with an exploratory search approach. The user interactively explores datasets by viewing and selecting entities in the datasets. Specifically, the user manipulates widgets on the screen by moving and overlapping them with a mouse to check entities, draw detail data on them, and obtain other entities linked by the widgets.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Deligiannidis, L., Kochut, K.J., Sheth, A.P.: RDF data exploration and visualization. In: Proc. of CIMS 2007, pp. 39–46 (2007)
Goto, T., Takeda, H., Yasumura, M.: Dash Search: Desktop Widget based Desktop Search for Metadata Exploitation. In: Adjunct Proc. of UIST 2008, pp. 37–38 (2008)
Heim, P., Ertl, T., Ziegler, J.: Facet Graphs: Complex Semantic Querying Made Easy. In: Aroyo, L., Antoniou, G., Hyvönen, E., ten Teije, A., Stuckenschmidt, H., Cabral, L., Tudorache, T. (eds.) ESWC 2010, Part I. LNCS, vol. 6088, pp. 288–302. Springer, Heidelberg (2010)
Jarrar, M., Dikaiakos, M.D.: A Query Formulation Language for the Data Web. IEEE Transactions on Knowledge and Data Engineering (2011)
Kamura, T., Takeda, H., Ohmukai, I., Kato, F., Takahashi, T., Ueda, H.: Study Support and Integration of Cultural Information Resources with Linked Data. In: Proc. of Culture and Computing 2011, pp. 177–178 (2011)
Kiefer, C., Bernstein, A., Stocker, M.: The Fundamentals of iSPARQL: A Virtual Triple Approach for Similarity-Based Semantic Web Tasks. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ISWC/ASWC 2007. LNCS, vol. 4825, pp. 295–309. Springer, Heidelberg (2007)
Phuoc, D.L., Polleres, A., Morbidoni, C., Hauswirth, M., Tummarello, G.: Rapid semantic web mashup development through semantic web pipes. In: WWW 2009 (2009)
Russell, A., Smart, P.R., Braines, D., Shadbolt, N.: NITELIGHT: A Graphical Tool for Semantic Query Construction. In: SWUI 2008 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Goto, T., Takeda, H., Hamasaki, M. (2013). DashSearch LD: Exploratory Search for Linked Data. In: Takeda, H., Qu, Y., Mizoguchi, R., Kitamura, Y. (eds) Semantic Technology. JIST 2012. Lecture Notes in Computer Science, vol 7774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37996-3_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-37996-3_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37995-6
Online ISBN: 978-3-642-37996-3
eBook Packages: Computer ScienceComputer Science (R0)