Hak Lae Kim

Representing and sharing folksonomies with semantics

Websites that provide content creation and sharing features have become quite popular recently. These sites allow users to categorize and browse content using ‘tags’ or free-text keyword topics. Since users contribute and tag social media content across a variety of social web platforms, creating new knowledge from distributed tag data has become a matter of performing various tasks, including publishing, aggregating, integrating, and republishing tag data. However, there are a number of issues in relation to data sharing and interoperability when processing tag data across heterogeneous tagging platforms. In this paper we introduce a semantic tag model that aims to explicitly offer the necessary structure, semantics and relationships between tags. This approach provides an improved opportunity for representing tag data in the form of reusable constructs at a semantic level. We also demonstrate a prototype that consumes and makes use of shared tag metadata across heterogeneous sources.

Social semantic cloud of tag: semantic model for social tagging

Tagging has proven to be a successful and efficient way for creating metadata through a human collective intelligence. It can be considered not only an application of individuals for expressing ones interests, but also as a starting point for leveraging social connections through collaborative user participations. A number of users have contributed to tag resources in web sites such as Del.icio.us, Flickr etc. However, there is no uniform structure to describe tags and users activities. This makes difficult to share and represent tag data among people. The SCOT (Social Semantic Cloud of Tags) ontology is aimed to represent the structure and semantics of a set of tags and promotes their global sharing. The paper introduce the SCOT ontology and methods of its representation.

Simple Algorithms for Representing Tag Frequencies in the SCOT Exporter

In this paper we describe the SCOT Exporter and its algorithms to create instance data based on the SCOT (Social Semantic Cloud of Tags) ontology for sharing and reusing tag data. The algorithms use tag frequencies and co-occurrence relations to represent statistical information via the SCOT ontology. We give an overview of the Exporter and the algorithms, and then discuss some experimental results.

Automatic in-situ focus monitor using line-shortening effect

A new focus monitoring method, AIFM has been developed. Specially designed box-in-box was drawn on conventional Cr binary mask and investigate. The box-in-box were drawn to enlarge the line end shortening effect in this new method. There is a lateral shift between inner and outer box in printed feature, and it can be measured quickly at a number of locations across the field and across the wafer with a common overlay measurement system. AIFM provides a means of evaluating focus effects such as field curvature, astigmatism, and field tilt like other focus measurement method. This method has another advantage of in-situ process condition monitoring by drawing focus monitor patterns in real product masks. Experiments were performed to evaluate the effects of pattern geometry and exposure dose on the sensitivity of the focus monitor. AIFM data shows good correlation with conventional focus measurement using SEM line width measurement.

Personal knowledge management for knowledge workers using social semantic technologies

Knowledge workers have different applications and resources in heterogeneous environments for doing their knowledge tasks and they often need to solve a problem through combining several resources. Typical personal knowledge management (PKM) systems do not provide effective ways for representing knowledge workers unstructured knowledge or idea. In order to provide better knowledge activity for them, we implement Wiki-based social Network Thin client (WANT) that is a wiki-based semantic tagging system for collaborative and communicative knowledge creation and maintenance for a knowledge worker. And also, we suggest the social semantic cloud of tags (SCOT) ontology to represent tag data at a semantic level and combine this ontology in WANT. WANT supports a wide scope of social activities through online mash-up services and interlink resources with desktop and web environments. Our approach provides basic functionalities such as creating, organising and searching knowledge at individual level, as well as enhances social connections among knowledge workers based on their activities.

FCA-based approach for mining contextualized folksonomy

We present a novel approach to build the contextualized folksonomy and concept hieracrhies from tags of blogosphere based on Formal Concept Analysis. Our approach is based on the assumption that if a blog has the relationships with others, they would use the similar set of tags. We collect the sample data from blogosphere randomly and then build the concept hierarchies on the basis of the inclusion relations(tags) between the extensions(bloggers). We propose the formalization of the contextualized folksonomy in terms of Formal Concept Analysis and show how our approach can be used to create the contextualized folksonmy for blogosphere. We evaluate our approach by considering an already existing tags of blogosphere.

Integration Strategies for Enterprise Knowledge Graphs

Semantic computing and enterprise Linked Data have recently gained traction in enterprises. Although the concept of Enterprise Knowledge Graphs (EKGs) has meanwhile received some attention, a formal conceptual framework for designing such graphs has not yet been developed. By EKG we refer to a semantic network of concepts, properties, individuals and links representing and referencing foundational and domain knowledge relevant for an enterprise. Through the efforts reported in this paper, we aim to bridge the gap between the increasing need for EKGs and the lack of formal methods for realising them. We present a thorough study of the key concepts of knowledge graphs design along with an analysis of the advantages and disadvantages of various design decisions. In particular, we distinguish between two polar approaches towards data fusion, i.e., the unified and the federated approach, describe their benefits and point out shortages.

Towards an Enterprise Entity Hub: Integration of General and Enterprise Knowledge

Today’s enterprises possess vast quantities of data generated by their own applications and services across different organisational systems. However, the data tends to be stored in many data-silos with redundant, duplicated, and outdated information. This means that finding the right information and obtaining valuable insights is difficult. To address this problem, we develop the enterprise entity hub that enables users to search, analyse, share, and filter information across large-scale data sources. One of its core components, the base knowledge is used to organise and interlink the organisation’s knowledge model, we then construct a base knowledge through the integration of several data sources, and expand this knowledge by interlinking a set of enterprise content.

Semantic representation for copyright metadata of user‐generated content in folksonomies

Purpose – The purpose of this research is to investigate some general features of folksonomies and user‐generated content with copyright issues, and to present semantic representation for folksonomies using a tag ontology that can be used to represent tagging data at a semantic level using Semantic Web technologies.Design/methodology/approach – An exploratory study is described that features current social tagging methods and copyright metadata. In particular, a tag ontology is extended for representing copyright metadata across different platforms.Findings – The main finding is that Social Semantic Cloud of Tags can improve the expressive knowledge representation of folksonomies and that this ontology can aid in describing copyright metadata using some extended properties.Originality/value – The paper gives a valuable insight into representing folksonomies with Semantic Web technologies that enable the representation, exchange, and reuse of tagging data, and provides a way to reduce the risk of copyright...

Semantic Documentation Using Semantic Web Technologies and Social Web Services

In this paper we discuss the need to interact both desktop and Web environments for making semantic documentation and the advantages of using semantic Web technologies and social Web Services. We propose the architecture and then describe the prototype system based on the proposed architecture