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182 Journal of Library Science in China, Vol.9, 2017

term association. Although co-word analysis has been improved in many aspects, it still has some
limitations. This paper tries to provide theoretical and operational references for co-word analysis
researchers and enhancing the reliability and effectiveness of co-word analysis, and it is of great
significance to jump out of the traditional theory and practice strategy of co-word analysis.

“MtFFO”: Research of a framework of knowledge fusion on multi-source
thesauri from open world perspectives

〇a*
YAN Chengxi & FANG Xiaoke〇
As a kind of normative and structured knowledge form, thesauri plays a significant role in the
fields of information retrieval, enterprise knowledge management and service, as well as automated
intelligent decision-making. Traditional closed-world thesauri have more and more severe
drawbacks, such as high cost of expert-knowledge construction, low accuracy and narrow coverage
of domain knowledge, obsolete knowledge-updating mechanism and weak capacity of knowledge
expansion. It has become an important research domain that how to construct a proper, holistic and
scientific system based on thesauri, as a powerful aid towards various systems and applications
of intelligent information and knowledge management, which aims at knowledge ordering and
sharing under the condition of the open interconnection. Related research has discussed in depth
the structure, data sources, methods and language of thesauri integration, but lacks comprehensive
induction and combing of multi-source fusion technology, theory and methods on thesauri,
especially about how to embark on knowledge fusion in the open and interconnected environment.
Introducing knowledge fusion, this paper, first of all, defines the conception and connotation
of the paradigm of “knowledge fusion” in the light of Popper’s Three World Theory, and discerns
its difference from “data integration” and “information integration”, as to clarify the category and
scope of “knowledge fusion” fundamentally; Secondly, from the perspectives of OWA(Open World
Assumption), this paper presents a more comprehensive and systematic theoretical framework
of knowledge fusion called “MtFFO” in combination with KRAFT framework and other related
existing models. The framework mainly contains the external environment, internal core, input unit,
key factors and methods. Through feature comparison of different data source (database, metadata,
and the table), external Environment Sub-frame of Information Input(EESII)is expounded as a
multi-level architecture of knowledge adjustment subsystem. Next the knowledge flow dealt with
EESII will receive the pattern matching and semantic recognition as the control and guidance of
fusion strategies and quality to achieve optimization of knowledge transformation and composition;
the respectively corresponding actual operation process is knowledge mapping and merging, and the
former can be divided into two methods, knowledge aggregation based on homogeneity and logical

* Correspondence should be addressed to FANG Xiaoke, Email: xiaoke@buu.edu.cn, ORCID: 0000-0001-7357-1558