Abstract
Recent years have witnessed the emergence of new types of semantic search engines which attempt to overcome the defects of the traditional search engines by providing different search patterns. A big question here is that in order to achieve the semantic search engines (SSEs), what type(s) of search patterns should SSEs support? To help seek one of the many possible answers, in this paper we start with classifying and comparing current search engines, particularly from the perspective of search patterns which consist of index structure, user profiles, and interaction mechanism. We then present a novel search pattern named ExNa by defining its model and basic operations in detail. To validate the ExNa search pattern, we develop a prototype search engine named KNOWLE, and the experimental results show that KNOWLE equipped with ExNa can improve both the efficiency of the entire system when compared with search engines of other search patterns.
| Original language | English (US) |
|---|---|
| Journal | Concurrency Computation Practice and Experience |
| DOIs | |
| State | Accepted/In press - 2016 |
| Externally published | Yes |
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Keywords
- Big data
- Index structure
- Interaction process
- Search pattern
- Semantic search
- User profile
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Software
- Computational Theory and Mathematics
- Theoretical Computer Science
Cite this
ExNa : An efficient search pattern for semantic search engines. / Wei, Xiao; Zeng, Dajun.
In: Concurrency Computation Practice and Experience, 2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - ExNa
T2 - An efficient search pattern for semantic search engines
AU - Wei, Xiao
AU - Zeng, Dajun
PY - 2016
Y1 - 2016
N2 - Recent years have witnessed the emergence of new types of semantic search engines which attempt to overcome the defects of the traditional search engines by providing different search patterns. A big question here is that in order to achieve the semantic search engines (SSEs), what type(s) of search patterns should SSEs support? To help seek one of the many possible answers, in this paper we start with classifying and comparing current search engines, particularly from the perspective of search patterns which consist of index structure, user profiles, and interaction mechanism. We then present a novel search pattern named ExNa by defining its model and basic operations in detail. To validate the ExNa search pattern, we develop a prototype search engine named KNOWLE, and the experimental results show that KNOWLE equipped with ExNa can improve both the efficiency of the entire system when compared with search engines of other search patterns.
AB - Recent years have witnessed the emergence of new types of semantic search engines which attempt to overcome the defects of the traditional search engines by providing different search patterns. A big question here is that in order to achieve the semantic search engines (SSEs), what type(s) of search patterns should SSEs support? To help seek one of the many possible answers, in this paper we start with classifying and comparing current search engines, particularly from the perspective of search patterns which consist of index structure, user profiles, and interaction mechanism. We then present a novel search pattern named ExNa by defining its model and basic operations in detail. To validate the ExNa search pattern, we develop a prototype search engine named KNOWLE, and the experimental results show that KNOWLE equipped with ExNa can improve both the efficiency of the entire system when compared with search engines of other search patterns.
KW - Big data
KW - Index structure
KW - Interaction process
KW - Search pattern
KW - Semantic search
KW - User profile
UR - http://www.scopus.com/inward/record.url?scp=84962626468&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962626468&partnerID=8YFLogxK
U2 - 10.1002/cpe.3818
DO - 10.1002/cpe.3818
M3 - Article
AN - SCOPUS:84962626468
JO - Concurrency Computation Practice and Experience
JF - Concurrency Computation Practice and Experience
SN - 1532-0626
ER -