LOTUS: Linked open text unleashed

F. Ilievski; Wouter Beek; Marieke Van Erp; Laurens Rietveld; Stefan Schlobach

LOTUS: Linked open text unleashed

F. Ilievski, Wouter Beek, Marieke Van Erp, Laurens Rietveld, Stefan Schlobach

Research output: Contribution to Conference › Paper › Other research output

Abstract

It is dificult to find resources on the Semantic Web today, in particular if one wants to search for resources based on natural language keywords and across multiple datasets. In this paper, we present LOTUS: Linked Open Text UnleaShed, a full-text lookup index over a huge Linked Open Data collection. We detail LOTUS' approach, its implementation, its coverage, and demonstrate the ease with which it allows the LOD cloud to be queried in different domain-specific scenarios.

Original language	English
Publication status	Published - 2015

Keywords

Big Data
Findability
Semantic Search
Text Indexing

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title = "LOTUS: Linked open text unleashed",

abstract = "It is dificult to find resources on the Semantic Web today, in particular if one wants to search for resources based on natural language keywords and across multiple datasets. In this paper, we present LOTUS: Linked Open Text UnleaShed, a full-text lookup index over a huge Linked Open Data collection. We detail LOTUS' approach, its implementation, its coverage, and demonstrate the ease with which it allows the LOD cloud to be queried in different domain-specific scenarios.",

keywords = "Big Data, Findability, Semantic Search, Text Indexing",

author = "F. Ilievski and Wouter Beek and {Van Erp}, Marieke and Laurens Rietveld and Stefan Schlobach",

year = "2015",

language = "English",

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TY - CONF

T1 - LOTUS: Linked open text unleashed

AU - Ilievski, F.

AU - Beek, Wouter

AU - Van Erp, Marieke

AU - Rietveld, Laurens

AU - Schlobach, Stefan

PY - 2015

Y1 - 2015

N2 - It is dificult to find resources on the Semantic Web today, in particular if one wants to search for resources based on natural language keywords and across multiple datasets. In this paper, we present LOTUS: Linked Open Text UnleaShed, a full-text lookup index over a huge Linked Open Data collection. We detail LOTUS' approach, its implementation, its coverage, and demonstrate the ease with which it allows the LOD cloud to be queried in different domain-specific scenarios.

AB - It is dificult to find resources on the Semantic Web today, in particular if one wants to search for resources based on natural language keywords and across multiple datasets. In this paper, we present LOTUS: Linked Open Text UnleaShed, a full-text lookup index over a huge Linked Open Data collection. We detail LOTUS' approach, its implementation, its coverage, and demonstrate the ease with which it allows the LOD cloud to be queried in different domain-specific scenarios.

KW - Big Data

KW - Findability

KW - Semantic Search

KW - Text Indexing

M3 - Paper

ER -

LOTUS: Linked open text unleashed

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