loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Liliya Avdiyenko 1 ; Martin Nettling 1 ; Christiane Lemke 1 ; Matthias Wauer 1 ; Axel-Cyrille Ngonga Ngomo 2 and Andreas Both 1

Affiliations: 1 UNISTER GmbH, Germany ; 2 Leipzig University and IFI/AKSW, Germany

Keyword(s): Information Search and Retrieval, Online Information Services.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Concept Mining ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: To create a better search experience for end users and to satisfy their actual intents even for vaguely formulated queries, a contemporary search engine has to go beyond simple keyword-based retrieval concepts. For a geospatial search, where user queries can be quite complex such as "places for winter sport holidays and culture in Central Europe", we introduce the notion of geospatial motifs denoting traits of geographical regions. Defining a motif by a set of geospatial entities with certain characteristics, we present an approach to inferring important regions for the motif based on density of these entities. The evaluation of the approach for several motifs showed that the inferred regions are among the most popular places for a motif of interest according to the opinion of several experts and official rankings. Thus, we claim that the presented semi-automatic process of detecting regions for geospatial motifs can contribute to more powerful and flexible search applications which are able to answer user queries containing complex geospatial concepts. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 74.48.170.251

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Avdiyenko, L. ; Nettling, M. ; Lemke, C. ; Wauer, M. ; Ngonga Ngomo, A. and Both, A. (2015). Motive-based Search - Computing Regions from Large Knowledge Bases using Geospatial Coordinates. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 469-474. DOI: 10.5220/0005635004690474

@conference{kdir15,
author={Liliya Avdiyenko and Martin Nettling and Christiane Lemke and Matthias Wauer and Axel{-}Cyrille {Ngonga Ngomo} and Andreas Both},
title={Motive-based Search - Computing Regions from Large Knowledge Bases using Geospatial Coordinates},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR},
year={2015},
pages={469-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005635004690474},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR
TI - Motive-based Search - Computing Regions from Large Knowledge Bases using Geospatial Coordinates
SN - 978-989-758-158-8
IS - 2184-3228
AU - Avdiyenko, L.
AU - Nettling, M.
AU - Lemke, C.
AU - Wauer, M.
AU - Ngonga Ngomo, A.
AU - Both, A.
PY - 2015
SP - 469
EP - 474
DO - 10.5220/0005635004690474
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: [email protected]

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic